Keith C. C. Chan

7.2k total citations
230 papers, 4.9k citations indexed

About

Keith C. C. Chan is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Keith C. C. Chan has authored 230 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 60 papers in Molecular Biology and 51 papers in Information Systems. Recurrent topics in Keith C. C. Chan's work include Bioinformatics and Genomic Networks (33 papers), Data Mining Algorithms and Applications (29 papers) and Gene expression and cancer classification (24 papers). Keith C. C. Chan is often cited by papers focused on Bioinformatics and Genomic Networks (33 papers), Data Mining Algorithms and Applications (29 papers) and Gene expression and cancer classification (24 papers). Keith C. C. Chan collaborates with scholars based in Hong Kong, China and Canada. Keith C. C. Chan's co-authors include Wai-Ho Au, Zhu‐Hong You, Yu‐An Huang, Lun Hu, Pengwei Hu, Xin Yao, Andrew K. C. Wong, Kim Man Lui, Tiantian He and Yan Liu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Keith C. C. Chan

218 papers receiving 4.6k citations

Peers

Keith C. C. Chan
Pablo Moscato Australia
Xiaohua Hu United States
Joseph K. Liu Australia
Yong Liu China
Jaewoo Kang South Korea
Ulf Leser Germany
Pablo Moscato Australia
Keith C. C. Chan
Citations per year, relative to Keith C. C. Chan Keith C. C. Chan (= 1×) peers Pablo Moscato

Countries citing papers authored by Keith C. C. Chan

Since Specialization
Citations

This map shows the geographic impact of Keith C. C. Chan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keith C. C. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith C. C. Chan more than expected).

Fields of papers citing papers by Keith C. C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith C. C. Chan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keith C. C. Chan. The network helps show where Keith C. C. Chan may publish in the future.

Co-authorship network of co-authors of Keith C. C. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Keith C. C. Chan. A scholar is included among the top collaborators of Keith C. C. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keith C. C. Chan. Keith C. C. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Yu‐An, Keith C. C. Chan, Zhu‐Hong You, et al.. (2020). Predicting microRNA–disease associations from lncRNA–microRNA interactions via Multiview Multitask Learning. Briefings in Bioinformatics. 22(3). 32 indexed citations
2.
Yi, Hai-Cheng, Zhu‐Hong You, Zhen-Hao Guo, De-Shuang Huang, & Keith C. C. Chan. (2020). Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2546–2554. 15 indexed citations
3.
He, Tiantian, et al.. (2019). Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Transactions on Cybernetics. 50(10). 4318–4331. 42 indexed citations
4.
Hu, Pengwei, et al.. (2019). Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. Studies in health technology and informatics. 264. 1480–1481. 3 indexed citations
5.
He, Tiantian & Keith C. C. Chan. (2018). Discovering Fuzzy Structural Patterns for Graph Analytics. IEEE Transactions on Fuzzy Systems. 26(5). 2785–2796. 28 indexed citations
6.
He, Tiantian, Lun Hu, Keith C. C. Chan, & Pengwei Hu. (2018). Learning Latent Factors for Community Identification and Summarization. IEEE Access. 6. 30137–30148. 15 indexed citations
7.
He, Tiantian & Keith C. C. Chan. (2018). Measuring Boundedness for Protein Complex Identification in PPI Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 967–979. 9 indexed citations
8.
He, Tiantian & Keith C. C. Chan. (2017). MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs. IEEE Transactions on Cybernetics. 48(5). 1369–1382. 33 indexed citations
9.
Chan, Keith C. C. & Tiantian He. (2016). Data science: the demand and development of talents. Big Data Research. 2(5). 2016058. 3 indexed citations
10.
He, Tiantian & Keith C. C. Chan. (2016). Evolutionary Graph Clustering for Protein Complex Identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(3). 892–904. 25 indexed citations
11.
Liu, Yang, Yan Liu, Sheng-hua Zhong, & Keith C. C. Chan. (2012). Tensor distance based multilinear globality preserving embedding: A unified tensor based dimensionality reduction framework for image and video classification. Expert Systems with Applications. 39(12). 10500–10511. 9 indexed citations
12.
Liu, Yang, et al.. (2010). Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture. Signal Processing. 90(8). 2375–2395. 6 indexed citations
13.
Chan, Keith C. C., et al.. (2008). Game engine design using data mining. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 352–357. 2 indexed citations
14.
Wong, Andrew K. C., Wai-Ho Au, & Keith C. C. Chan. (2008). Discovering High-Order Patterns of Gene Expression Levels. Journal of Computational Biology. 15(6). 625–637. 6 indexed citations
15.
Wang, Zan, et al.. (2007). Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Chan, Keith C. C., et al.. (2005). A data mining approach to discover temporal relationship among performance metrics from automated testing. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2 indexed citations
17.
Wang, Guojun, Jiannong Cao, & Keith C. C. Chan. (2004). RGB: a scalable and reliable group membership protocol in mobile Internet. Proceedings of the International Conference on Parallel Processing. 326–333. 3 indexed citations
18.
Lui, Kim Man & Keith C. C. Chan. (2004). A cognitive model for solo programming and pair programming. 94–102. 8 indexed citations
19.
Wang, Guojun, Jiannong Cao, & Keith C. C. Chan. (2004). A reliable totally-ordered group multicast protocol for mobile internet. Proceedings of the International Conference on Parallel Processing. 108–115. 5 indexed citations
20.
Chow, W. K., et al.. (1993). Computer simulation of the thermal environment inside a 275-kV underground electric cable tunnel. ASHRAE winter conference papers. 99. 277–284. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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