Chun Lam Chan

524 total citations
12 papers, 259 citations indexed

About

Chun Lam Chan is a scholar working on Artificial Intelligence, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Chun Lam Chan has authored 12 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Infectious Diseases. Recurrent topics in Chun Lam Chan's work include Markov Chains and Monte Carlo Methods (4 papers), SARS-CoV-2 detection and testing (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Chun Lam Chan is often cited by papers focused on Markov Chains and Monte Carlo Methods (4 papers), SARS-CoV-2 detection and testing (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Chun Lam Chan collaborates with scholars based in Switzerland, Hong Kong and United States. Chun Lam Chan's co-authors include Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri, Pak Hou, Nicolas Macris, M.‐A. Dupertuis, Jarla Thiesbrummel, Clément Javerzac‐Galy, Mayank Bakshi and Sheng Cai and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Statistical Physics and SIAM Journal on Discrete Mathematics.

In The Last Decade

Chun Lam Chan

11 papers receiving 250 citations

Peers

Chun Lam Chan
Comparison fields: 5 of 34
  • Artificial Intelligence 153
  • Infectious Diseases 121
  • Molecular Biology 105
  • Atomic and Molecular Physics, and Optics 70
  • Computer Networks and Communications 45
Replace Jens Niklas Eberhardt with:
Jens Niklas Eberhardt Germany
Firas Hamze United States
Suogang Gao China
Tanvi P. Gujarati United States
Kushal Shah India
E. Efstathiadis United States
Fabrizio Altarelli Italy
J. Balewski United States
Chiping Zhang China
Chih-wen Weng Taiwan
Jens Niklas Eberhardt Germany View profile →
Citations per field, relative to Chun Lam Chan
Chun Lam Chan · 1×
Citations per year, relative to Chun Lam Chan
Chun Lam Chan · 1×

Countries citing papers authored by Chun Lam Chan

Since Specialization
Citations

This map shows the geographic impact of Chun Lam 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 Chun Lam Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Lam Chan more than expected).

Fields of papers citing papers by Chun Lam Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Lam 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 Chun Lam Chan. The network helps show where Chun Lam Chan may publish in the future.

Co-authorship network of co-authors of Chun Lam Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Lam Chan. A scholar is included among the top collaborators of Chun Lam 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 Chun Lam Chan. Chun Lam Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 17
2 1
3 2
4 77
5 3
6 1
7 1
8 0
9 1
10 72
11 13
12 71

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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2026