Chris H. Q. Ding

Q: What Schools Are Affiliated With Chris H. Q. Ding

Chris H. Q. Ding is affiliated with the following schools: University of Texas at Arlington, Guangdong University of Technology

Chris H. Q. Ding's AcademicInfluence.com Rankings

Chris H. Q. Ding

Computer Science

#4247

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#4469

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Data Mining

#64

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#64

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Machine Learning

#776

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#787

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Database

#1468

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#1543

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Computer Science

Chris H. Q. Ding's Degrees

Bachelors Computer Science Fudan University

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Chris H. Q. Ding's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy (2003) (7944)
Minimum redundancy feature selection from microarray gene expression data (2003) (2326)
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization (2010) (1696)
K-means clustering via principal component analysis (2004) (1462)
Orthogonal nonnegative matrix t-factorizations for clustering (2006) (1164)
Convex and Semi-Nonnegative Matrix Factorizations (2010) (1157)
A min-max cut algorithm for graph partitioning and data clustering (2001) (915)
Multi-class protein fold recognition using support vector machines and neural networks (2001) (898)
On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering (2005) (859)
Spectral Relaxation for K-means Clustering (2001) (696)
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization (2006) (631)
Community discovery using nonnegative matrix factorization (2011) (386)
Symmetric Nonnegative Matrix Factorization for Graph Clustering (2012) (368)
Bipartite graph partitioning and data clustering (2001) (361)
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization (2008) (345)
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing (2008) (307)
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering (2006) (303)
Adaptive dimension reduction using discriminant analysis and K-means clustering (2007) (301)
Robust nonnegative matrix factorization using L21-norm (2011) (298)
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization (2012) (268)
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs (2010) (252)
On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering (2005) (232)
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization (2007) (229)
Adaptive dimension reduction for clustering high dimensional data (2002) (229)
PageRank, HITS and a unified framework for link analysis (2002) (223)
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking (2012) (216)
Evolving Feature Selection (2005) (214)
Gene selection algorithm by combining reliefF and mRMR (2007) (198)
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization (2011) (197)
Cluster merging and splitting in hierarchical clustering algorithms (2002) (185)
Stable feature selection via dense feature groups (2008) (184)
Robust Manifold Nonnegative Matrix Factorization (2014) (182)
Transductive Semi-Supervised Deep Learning Using Min-Max Features (2018) (157)
Binary Matrix Factorization with Applications (2007) (153)
A similarity-based probability model for latent semantic indexing (1999) (145)
Web document clustering using hyperlink structures (2001) (143)
Weighted Consensus Clustering (2008) (143)
Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method (2006) (140)
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance (2011) (139)
Link Analysis: Hubs and Authorities on the World Wide Web (2004) (139)
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding (2008) (138)
Graph-Laplacian PCA: Closed-Form Solution and Robustness (2013) (135)
Consensus group stable feature selection (2009) (132)
Multi-label Linear Discriminant Analysis (2010) (126)
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization (2012) (116)
CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model (2005) (113)
K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization (2004) (113)
On the use of the singular value decomposition for text retrieval (2000) (113)
Image annotation using multi-label correlated Green's function (2009) (112)
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (2013) (105)
Binary matrix factorization for analyzing gene expression data (2009) (104)
PSoL: a positive sample only learning algorithm for finding non-coding RNA genes (2006) (100)
Automatic topic identification using webpage clustering (2001) (97)
Cauchy Graph Embedding (2011) (95)
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm (2014) (93)
Multi-label ReliefF and F-statistic feature selections for image annotation (2012) (92)
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation (2010) (88)
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine (2013) (87)
Joint Schatten $$p$$p-norm and $$\ell _p$$ℓp-norm robust matrix completion for missing value recovery (2013) (87)
Spectral min-max cut for graph partitioning and data clustering (2001) (87)
Linearized cluster assignment via spectral ordering (2004) (85)
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (2011) (84)
Unsupervised and semi-supervised learning via ℓ1-norm graph (2011) (82)
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery (2004) (82)
Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis (2003) (81)
Image annotation using bi-relational graph of images and semantic labels (2011) (79)
Cluster Structure of K-means Clustering via Principal Component Analysis (2004) (73)
Analysis of gene expression profiles: class discovery and leaf ordering (2002) (73)
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (2008) (69)
Nonnegative Matrix Factorizations for Clustering: A Survey (2018) (68)
2-Dimensional Singular Value Decomposition for 2D Maps and Images (2005) (65)
A probabilistic model for Latent Semantic Indexing (2005) (65)
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (2011) (63)
Multi-Subspace Representation and Discovery (2011) (63)
Robust tensor factorization using R1 norm (2008) (63)
Multi-Class L2,1-Norm Support Vector Machine (2011) (62)
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding (2013) (61)
Early Active Learning via Robust Representation and Structured Sparsity (2013) (61)
A learning framework using Green's function and kernel regularization with application to recommender system (2007) (61)
Dynamic cluster formation using level set methods (2005) (60)
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization (2012) (59)
2018 IEEE International Conference on Data Mining (ICDM) (2018) (59)
Knowledge transformation for cross-domain sentiment classification (2009) (58)
A spectral method to separate disconnected and nearly-disconnected web graph components (2001) (57)
Spectral relaxation models and structure analysis for K-way graph clustering and bi-clustering (2001) (56)
Hierarchical Ensemble Clustering (2010) (54)
Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations (2010) (53)
A Closed Form Solution to Multi-View Low-Rank Regression (2015) (53)
On the eigenvectors of p-Laplacian (2010) (51)
Social Trust Prediction Using Rank-k Matrix Recovery (2013) (50)
Two-Dimensional Singular Value Decomposition ( 2 DSVD ) for 2 D Maps and Images (2005) (50)
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations (2009) (49)
Knowledge transformation from word space to document space (2008) (49)
Joint stage recognition and anatomical annotation of drosophila gene expression patterns (2012) (47)
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation (2011) (46)
An Iterative Locally Linear Embedding Algorithm (2012) (46)
Dyadic transfer learning for cross-domain image classification (2011) (46)
Linear Discriminant Analysis: New Formulations and Overfit Analysis (2011) (45)
{\it R}$_{\mbox{1}}$-PCA: rotational invariant {\it L}$_{\mbox{1}}$-norm principal component analysis for robust subspace factorization (2006) (45)
Determining modular organization of protein interaction networks by maximizing modularity density (2010) (44)
On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF (2011) (43)
Feature Selection at the Discrete Limit (2014) (43)
Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering (2005) (42)
Tensor reduction error analysis — Applications to video compression and classification (2008) (40)
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm (2006) (40)
PCA-guided search for K-means (2015) (40)
Future Directions in Tensor-Based Computation and Modeling (2009) (39)
Low-order tensor decompositions for social tagging recommendation (2011) (39)
Non-negative Laplacian Embedding (2009) (38)
Towards Structural Sparsity: An Explicit l2/l0 Approach (2010) (37)
Principal Component Analysis and Effective K-Means Clustering (2004) (36)
Parallelization with Multiplicative Algorithms for Big Data Mining (2012) (36)
Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases (2011) (35)
Robust Non-Negative Dictionary Learning (2014) (35)
${R}_1$ -2-DPCA and Face Recognition (2019) (34)
Consistent dissection of the protein interaction network by combining global and local metrics (2007) (33)
A multi-level approach to SCOP fold recognition (2005) (33)
Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding (2010) (33)
Extended adaptive Lasso for multi-class and multi-label feature selection (2019) (32)
Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks (2012) (32)
Supervised and Projected Sparse Coding for Image Classification (2013) (32)
Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques (2006) (32)
On the Equivalence Between Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing (31)
Non-negative Tri-factor tensor decomposition with applications (2013) (31)
A unified representation of multiprotein complex data for modeling interaction networks (2004) (31)
K-Subspace Clustering (2009) (31)
Maximum Margin Multi-Instance Learning (2011) (30)
A Framework for Hierarchical Ensemble Clustering (2014) (30)
An efficient algorithm for L1-norm principal component analysis (2012) (30)
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label (2020) (30)
Similarity Learning of Manifold Data (2015) (30)
Active Learning for Classification with Maximum Model Change (2017) (30)
Multi-label Feature Transform for Image Classifications (2010) (29)
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition (2019) (29)
Supernova Recognition Using Support Vector Machines (2006) (29)
From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis (2017) (28)
Active Learning for Support Vector Machines with Maximum Model Change (2014) (28)
Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor (2010) (28)
A MinMaxCut Spectral Method for Data Clustering and Graph Partitioning (2003) (26)
Uncorrelated Lasso (2013) (25)
Structure search and stability enhancement of Bayesian networks (2003) (25)
Robust data representation using locally linear embedding guided PCA (2018) (25)
Cluster Aggregate Inequality and Multi-level Hierarchical Clustering (2005) (25)
An Optimal Index Reshuffle Algorithm for Multidimensional Arrays and Its Applications for Parallel Architectures (2001) (24)
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space (2002) (24)
NMF and PLSI: equivalence and a hybrid algorithm (2006) (24)
Graph Matching via Multiplicative Update Algorithm (2017) (23)
Network community discovery: solving modularity clustering via normalized cut (2010) (23)
Consensus spectral clustering in near-linear time (2011) (22)
Selective Labeling via Error Bound Minimization (2012) (22)
Harmonic Mean Linear Discriminant Analysis (2019) (22)
Comparative mapping of sequence-based and structure-based protein domains (2005) (22)
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms (2009) (22)
Binary Constraint Preserving Graph Matching (2017) (21)
Accelerating Deep Learning with Shrinkage and Recall (2016) (20)
Robust Flexible Feature Selection via Exclusive L21 Regularization (2019) (20)
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections (2019) (20)
Term norm distribution and its effects on Latent Semantic Indexing (2005) (19)
A probabilistic model for Latent Semantic Indexing: Research Articles (2005) (19)
Feature selection: We've barely scratched the surface (2005) (19)
Symmetric two dimensional linear discriminant analysis (2DLDA) (2009) (19)
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective (2013) (18)
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach (2012) (18)
Discriminant Laplacian Embedding (2010) (18)
Nonnegative Orthogonal Graph Matching (2017) (18)
Learning Graph Similarity With Large Spectral Gap (2021) (17)
A Local Sparse Model for Matching Problem (2015) (17)
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization (2015) (17)
Probabilistic solutions of influence propagation on social networks (2013) (16)
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification (2016) (16)
A Nonnegative Locally Linear KNN model for image recognition (2018) (16)
Image Categorization Using Directed Graphs (2010) (16)
Robust Tucker Tensor Decomposition for Effective Image Representation (2013) (16)
Non-Greedy L21-Norm Maximization for Principal Component Analysis (2016) (14)
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (2010) (14)
Pairwise-Covariance Linear Discriminant Analysis (2014) (14)
Directed Graph Learning via High-Order Co-linkage Analysis (2010) (14)
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso (2013) (14)
Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks (2003) (14)
Toward structural sparsity: an explicit $$\ell _{2}/\ell _0$$ approach (2013) (14)
Kernel Alignment Inspired Linear Discriminant Analysis (2014) (13)
Double robust principal component analysis (2020) (13)
Infobox suggestion for Wikipedia entities (2012) (13)
Covariate-Correlated Lasso for Feature Selection (2014) (13)
Regularized Singular Value Decomposition and Application to Recommender System (2018) (13)
Estimating support for protein-protein interaction data with applications to function prediction. (2008) (13)
Proceedings of the 2009 Workshop on Data Mining using Matrices and Tensors, DMMT'09 in Conjunction with the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, SIGKDD 2009: Preface (2009) (12)
Nonnegative matrix factorization using a robust error function (2012) (12)
Tensorized Bipartite Graph Learning for Multi-View Clustering (2022) (12)
Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph (2012) (12)
A group lasso based sparse KNN classifier (2020) (11)
Posterior probabilistic clustering using NMF (2008) (11)
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval (2011) (10)
Linear regression based projections for dimensionality reduction (2018) (10)
L1-norm Error Function Robustness and Outlier Regularization (2017) (10)
Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency (2014) (10)
An Efficient Algorithm for Feature Selection with Feature Correlation (2012) (9)
Extended linear regression for undersampled face recognition (2014) (9)
RanPaste: Paste Consistency and Pseudo Label for Semisupervised Remote Sensing Image Semantic Segmentation (2021) (9)
Saliency detection via a multi-layer graph based diffusion model (2018) (9)
eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways (2015) (9)
Supervised Dimensionality Reduction Methods via Recursive Regression (2020) (9)
Analysis of hubs and authorities on the web (2001) (8)
Saliency Detection via A Graph Based Diffusion Model (2017) (8)
Closed form solution of similarity algorithms (2010) (8)
A Semi-definite Positive Linear Discriminant Analysis and Its Applications (2012) (8)
A discriminative multi-class feature selection method via weighted l2, 1-norm and Extended Elastic Net (2018) (7)
Efficient Parallel I/O in Community Atmosphere Model (CAM) (2008) (7)
Graph Convolutional Network Based on Manifold Similarity Learning (2020) (7)
Non-convex feature learning via l p, ∞ operator (2014) (7)
Label Propagation on K-partite Graphs (2009) (7)
Tensor Fold-in Algorithms for Social Tagging Prediction (2011) (7)
Modeling reliability for wireless sensor node coverage in assistive testbeds (2010) (6)
Maximum Consistency Preferential Random Walks (2012) (6)
Robust Kernel Nonnegative Matrix Factorization (2012) (6)
A probabilistic model for latent semantic indexing in information retrieval and filtering (2001) (6)
Angular Decomposition (2011) (6)
A unified representation of multi-protein complex data for modelling interaction networks (2004) (6)
Guest editorial: special issue on data mining with matrices, graphs and tensors (2011) (6)
Maximizing Modularity Density for Exploring Modular Organization of Protein Interaction Networks ∗ (2009) (5)
Outlier Regularization for Vector Data and L21 Norm Robustness (2017) (5)
Minimal Support Vector Machine (2018) (5)
Gaussian Process for Recommender Systems (2011) (5)
Regularization graph convolutional networks with data augmentation (2021) (4)
Finding cliques in protein interaction networks via transitive closure of a weighted graph (2005) (4)
Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (2009) (4)
Revisiting L2,1-Norm Robustness With Vector Outlier Regularization (2017) (4)
Spectral Clustering, Ordering and Ranking: Statistical Learning with Matrix Factorizations (2014) (4)
Labeled-Robust Regression: Simultaneous Data Recovery and Classification (2020) (4)
Feature selection based on correlation deflation (2019) (4)
Self-aggregation in scaled principal component space (2001) (4)
Non-Convex Feature Learning via L_{p, inf} Operator (2014) (4)
Finding Hotspots in Document Collection (2007) (4)
An algorithm framework of sparse minimization for positive definite quadratic forms (2015) (3)
Note on Algorithm Differences Between Nonnegative Matrix Factorization And Probabilistic Latent Semantic Indexing (2011) (3)
Sparse classification using Group Matching Pursuit (2019) (3)
Gene Function Prediction and Functional Network: The Role of Gene Ontology (2012) (3)
SwitchFlow: preemptive multitasking for deep learning (2021) (3)
Positive sample only learning (PSOL) for predicting RNA genes in E. coli (2004) (3)
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations (2013) (3)
Graph Evolution via Social Diffusion Processes (2011) (2)
High Performance Fortran for practical scientific algorithms: An up-to-date evaluation (1999) (2)
Cluster Indicator Decomposition for Efficient Matrix Factorization (2011) (2)
MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models (2022) (2)
Elastic K-means using posterior probability (2017) (2)
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks (2003) (2)
An NMF-framework for Unifying Posterior Probabilistic Clustering and Probabilistic Latent Semantic Indexing (2014) (2)
A Unified Representation of MultiProtein Complex Data (2004) (1)
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning (2022) (1)
Data mining with graphs and matrices (2009) (1)
Contraction graphs for representation and analysis of RNA secondary structure (2004) (1)
Collective Kernel Construction in Noisy Environment (2013) (1)
Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder (2020) (1)
SRAGAN: Generating Colour Landscape Photograph from Sketch (2019) (1)
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors (2011) (1)
Image annotation and feature engineering via structural sparsity and low-rank approximation (2013) (1)
A Maximum Margin Multi-Instance Learning Framework for Image Categorization (2011) (1)
KDD2008 workshop report DMMT'08: data mining using matrices and tensors (2008) (1)
Robust Integrated Locally Linear Embedding (2012) (1)
Normalized projection and graph embedding via angular decomposition (2012) (1)
Non-negative Tri-factor tensor decomposition with applications (2012) (1)
A Similarity-BasedProbabilityModelfor LatentSemanticIndexing (2000) (0)
A Similarity-BasedProbabilityModelfor LatentSemanticIndexing (2000) (0)
Data Mining using Matrices and Tensors (DMMT'09) (2009) (0)
Towards Class-Specific Unit (2020) (0)
A new integrative data mining framework for analyzing the cancer genome atlas data (2012) (0)
Multiple Back Propagation Network and Metric Fusion for Person Re-identification (2019) (0)
Rank Ordering Constraints Elimination with Application for Kernel Learning (2017) (0)
Rethinking Two Consensuses of the Transferability in Deep Learning (2022) (0)
Feature selection based on correlation deflation (2018) (0)
Preface: the eighth workshop on optimization based techniques for emerging data mining problems (OEDM) (2013) (0)
Pyramid Attention Dense Network for Image Super-Resolution (2019) (0)
Multi-label Classification : Inconsistency , Ambiguity and Class Balanced K NN Classification (2010) (0)
KDD2009 workshop report DMMT'09: data mining using matrices and tensors (2010) (0)
Histogram of differences in the endpoints of the domains (2011) (0)
Identification of conserved protein modules from multiple organisms using transitive closure and cliques in protein interaction networks (2006) (0)
Supernova Recognition using Support Vector Machines - eScholarship (2006) (0)
Multiple Images Recovery Using a Single Affine Transformation (2017) (0)
2 Semi-NMF and Convex-NMF (2006) (0)
Non-greedy Max-min Large Margin based on L1-norm (2018) (0)
J an 2 02 0 Revisiting L 2 , 1-norm Robustness with Vector Outlier Regularization (2020) (0)
Multi-label Classification: Inconsistency, Ambiguity and Class Balanced KNN Classification (2010) (0)
Computing Protein Interaction Modules via Clique Finding based on Generalized Motzkin-Strauss Formalism (2007) (0)
Towards a bridge between cost and wealth in risk-aware planning (2012) (0)
Data Mining using Matrices and Tensors (DMMT'08) (2008) (0)
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009 (2009) (0)
Robust Out-of-Sample Data Recovery (2016) (0)
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering (2010) (0)
Stable solution to l2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases (2017) (0)
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization (2015) (0)

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What Schools Are Affiliated With Chris H. Q. Ding?

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Chris H. Q. Ding's Academic­Influence.com Rankings

Chris H. Q. Ding's Degrees

Similar Degrees You Can Earn

Why Is Chris H. Q. Ding Influential?

Chris H. Q. Ding's Published Works

Published Works

What Schools Are Affiliated With Chris H. Q. Ding?

Chris H. Q. Ding's AcademicInfluence.com Rankings