William Yeoh

1.7k citations
97 papers · 921 · h-index 16

Impact in

Papers in

William Yeoh

90 papers receiving 894 citations

Peers

William Yeoh
Comparison fields: 5 of 70
  • Signal Processing 269
  • Computer Networks and Communications 531
  • Management Science and Operations Research 208
  • Industrial and Manufacturing Engineering 139
  • Artificial Intelligence 347
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Citations per field
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Citations per year

Countries citing papers authored by William Yeoh

Since Specialization
Citations

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

Fields of papers citing papers by William Yeoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Yeoh, 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 Yeoh Line = papers co-authored together William Yeoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201899
2 201254
3 200852
4 201729
5 201328
6 201028
7
Efficient incremental search for moving target search
200924
8
Goal recognition design with stochastic agent action outcomes
201623
9 201921
10 201820
11 201418
12 202216
13 201216
14 202016
15 201416
16 201215
17 201015
18 201815
19 201114
20 201414

About William Yeoh

William Yeoh is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Computational Theory and Mathematics, having authored 97 papers that have together received 921 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (48 papers), Data Management and Algorithms (28 papers), AI-based Problem Solving and Planning (19 papers), Logic, Reasoning, and Knowledge (15 papers), Auction Theory and Applications (14 papers), Scheduling and Timetabling Solutions (12 papers), Multi-Agent Systems and Negotiation (11 papers) and Optimization and Search Problems (10 papers). The work is most often cited by research in Signal Processing (269 citations), Computer Networks and Communications (531 citations), Management Science and Operations Research (208 citations), Industrial and Manufacturing Engineering (139 citations) and Artificial Intelligence (347 citations). William Yeoh has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Sven Koenig, Enrico Pontelli, Ferdinando Fioretto, Xiaoxun Sun, Hoong Chuin Lau, Makoto Yokoo, Pradeep Varakantham, Duc Thien Nguyen, Tran Cao Son and Ping Hou. Their work appears in journals such as Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems, Engineering Applications of Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology and Artificial Intelligence.

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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