William Chen

766 citations
13 papers · 451 · h-index 5

Impact in

Papers in

William Chen

12 papers receiving 404 citations

Peers

William Chen
Comparison fields: 5 of 46
  • Discrete Mathematics and Combinatorics 97
  • Computer Vision and Pattern Recognition 250
  • Algebra and Number Theory 47
  • Statistics and Probability 64
  • Signal Processing 80
Replace Tsung‐Hsi Tsai with:
Tsung‐Hsi Tsai Taiwan
Bernard Van Cutsem France
Ryan R. Martin United States
Vincent Vajnovszki France
David Gillman United States
Eyal Ackerman Israel
D. Hanson Canada
George Purdy United States
Petr Hliněný Czechia
Radoš Radoičić United States
William Chen relative to Tsung‐Hsi Tsai Taiwan Tsung‐Hsi Tsai's profile →
Citations per field
00.5×10×15×17.9×
Tsung‐Hsi Tsai · 1×
Citations per year

Countries citing papers authored by William Chen

Since Specialization
Citations

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

Fields of papers citing papers by William Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Chen. 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 William Chen. The network helps show where William Chen may publish in the future.

Co-authors

The 10 scholars most cited alongside William Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Chen Line = papers co-authored together William Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1997214
2 2006129
3 199956
4 198021
5 200115
6 20174
7 19833
8 20183
9 20192
10 20151
11 19821
12 20151
13 20171

About William Chen

William Chen is a scholar working on Statistics and Probability, Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 451 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (4 papers), Advanced Statistical Methods and Models (3 papers), Computability, Logic, AI Algorithms (3 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Analysis and Summarization (2 papers), Navier-Stokes equation solutions (1 paper) and Topological and Geometric Data Analysis (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (97 citations), Computer Vision and Pattern Recognition (250 citations), Algebra and Number Theory (47 citations), Statistics and Probability (64 citations) and Signal Processing (80 citations). William Chen has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Shih‐Fu Chang, Hari Sundaram, Di Zhong, Catherine H. Yan, Rosena R. X. Du, Richard P. Stanley, Vu Le, Christy Chuang‐Stein, Itay Neeman and Gregory Phelan. Their work appears in journals such as Journal of Statistical Computation and Simulation, Annals of Pure and Applied Logic, Israel Journal of Mathematics, Journal of Differential Equations and Archive for Mathematical Logic.

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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