Citations of Chris Ding's Publications
Citations tracked by Google Scholar:
"Chris Ding, Chris H.Q. Ding, H.Q.Ding"
My papers have been cited 26934 times (hindex 69)
(according to Google Scholar, as of May 15, 2017).
Some Significant Citations
Frequently Cited Papers

Feature Selection Based on Mutual Information:
Criteria of Maxdependency, Maxrelevance, and Minredundancy.
Hanchuan Peng, Fuhui Long, Chris Ding.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.27(8): 12261238 (2005)
(cited 479 times)

Multiclass Protein Fold Recognition Using Support Vector Machines and
Neural Networks.
(Paper and data)
(Protein 3D structure prediction)
Chris Ding and Inna Dubchak.
Bioinformatics, 2001, v.17, pp.349358.
(cited 475 times)

A MinMax Cut Algorithm for Graph Partitioning and Data Clustering,
(PS,
Journal version PS )
(Spectral clustering that minimizes betweencluster similarities
and maximizes withincluster similarities)
Chris Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, and Horst D Simon.
Proc. IEEE Int'l Conf. Data Mining, pp.107114. December 2001.
(cited 305+74 times)

Atomic Level Simulations of on a Million Particles: The Cell Multipole
Method for Coulomb and London Interactions.
(Molecular dynamics algorithm for computing protein structures)
H.Q. Ding, N. Karasawa and W.A. Goddard.
J. of Chemical Physics, vol.97, pp:43094315 (1992).
(cited 312 times)

Spectral Relaxation for Kmeans Clustering
(
PS)
(Kmeans clustering indicators are relaxed to principal components)
Hongyuan Zha, Chris Ding, Ming Gu, Xiaofeng He, and Horst D Simon.
Neural Information Processing Systems (NIPS 2001)
v.14, pp. 10571064, Dec. 2001.
(cited 225 times)

Kmeans Clustering via Principal Component Analysis.
(Show that the solution of Kmeans are given by PCA. Followup work on
NIPS'2001 paper).
Chris Ding and Xiaofeng He.
Proc. of Int'l Conf. Machine Learning (ICML 2004), pp 225232. July 2004.
( PDF file)
(cited 216 times)

Bipartite Graph Partitioning and Data Clustering,
(
PS)
(Simultaneous clustering of rows and columns of a rectangle
data matrix with a coherent objective function)
Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, and Horst D. Simon.
Proc. ACM 10th Int'l Conf. Information and Knowledge Management (CIKM 2001),
pp.2531, October 2001.
(cited 169 times)

On the Equivalence of Nonnegative Matrix Factorization
and Spectral Clustering.
(PDF file,
PS file)
Chris Ding, Xiaofeng He, and Horst D. Simon.
Proc. SIAM Int'l Conf. Data Mining, pp:606610, April 2005.
(cited 144 times)

Orthogonal Nonnegative Matrix Trifactorizations for Clustering
( PDF file)
Chris Ding, Tao Li, Wei Peng, Haesun Park.
Proc Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2006),
pp.126135.
August 2006.
(cited 117 times)

PageRank, HITS and a Unified Framework for Link Analysis.
( ps file)
(Combine mutual reenforcement and link weight normalization into a
single framework)
Chris Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, and Horst D. Simon
Proc. of 25th ACM SIGIR Conf. 2002.
(cited 104 times)

A Similaritybased Probability Model for Latent Semantic Indexing.
( ps file)
(Show LSI is optimal maximumlikelihood solutions
to a probabilistic generative model)
Chris Ding.
Proc. ACM SIGIR 1999, pp:5965. August 1999.
(cited 110 times)

Adaptive Dimension Reduction for Clustering High Dimensional Data.
( PS)
Chris Ding, Xiaofeng He, Hongyuan Zha, and Horst D. Simon.
Proc. IEEE Int'l Conf. Data Mining, pp.147154, Dec. 2002.
(cited 96 times)