Citations of Chris Ding's Publications

Citations tracked by Google Scholar: "Chris Ding, Chris H.Q. Ding, H.Q. Ding" ,

Total citation 3427 of my 124 papers (see the Zipf distribution)
(according to Google Scholar, as of Nov 20, 2009).

Some Significant Citations

• John Maddox, Towards Explaining Superconductivity, Nature, 5 April 1990, v.344 p.485 (pdf) .
  Nature Editor-in-Chief John Maddox wrote "Yet some progress seems to have been made. Thus Hong-Qiang Ding and Miloje S. Makivic, from California Institute of Technology, now describe an exceedingly powerful Monte Carlo calculation ..." (he gave a snapshot of our results in paper # 5 below).

• National Research Council Report: Mathematical Challenges from Theoretical/Computational Chemistry, 1995, Chapter 3, Numerical Analysis section. This report cites the paper # 2 below as one of the most significant advances in molecular dynamics algorithm developments.

1. Multi-class 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.349-358.
   (cited 114 times by SCI, 179 times by Google Scholar)

2. 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, v.97, pp:4309-4315 (1992).
   (cited 241 times by SCI, 171 times by Google Scholar)

3. Two Dimensional Spin-1/2 Heisenberg Antiferromagnet: A Quantum Monte Carlo Study
   (Markov chain monte carlo)
   M.S. Makivic and H.Q. Ding, Physical Review B, v.43, pp:3562-3574 (1991).
   (cited 148 times by SCI, 129 times by Google Scholar)

4. A Similarity-based Probability Model for Latent Semantic Indexing. ( ps file)
   (Show LSI is optimal maximum-likelihood solutions to a probabilistic generative model)
   Chris Ding. Proc. ACM SIGIR 1999 pp:59-65. August 1999.
   (cited 86 times by Google Scholar)

5. Spin Correlations of 2D Quantum Antiferro-magnets at Low Temperature and A Direct Comparison with Neutron Scattering Experiments
   (Markov chain monte carlo simulation)
   H.Q. Ding and M.S. Makivic, Physical Review Letters v.64, pp.1449-1452 (1990).
   (cited 92 times by SCI, 80 times by Google Scholar)

6. Spectral Relaxation for K-means Clustering ( PS)
   (K-means clustering indicators relax to principal components)
   Hongyuan Zha, Chris Ding, Ming Gu, Xiaofeng He, and Horst D Simon.
   Neural Information Processing Systems (NIPS 2001) v.14 pp. 1057-1064, Dec. 2001.
   (cited 76 times by Google Scholar)

7. A Min-Max Cut Algorithm for Graph Partitioning and Data Clustering, (PS, Journal version PS )
   (Spectral clustering that minimizes between-cluster similarities and maximizes within-cluster similarities)
   Chris Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, and Horst D Simon. Proc. IEEE Int'l Conf. Data Mining . 2001. pp.107-114.
   (cited 64 times by Google Scholar)

8. 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.25-31, 2001.
   (cited 58 times by Google Scholar)

9. PageRank, HITS and a Unified Framework for Link Analysis. ( ps file)
   (Combine mutual re-enforcement 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 44 times by Google Scholar)

10. 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.147-154, Dec. 2002.
    (cited 37 times by Google Scholar)