Thomas Chau

690 citations
35 papers · 436 · h-index 11

Impact in

Papers in

Thomas Chau

33 papers receiving 416 citations

Peers

Thomas Chau
Comparison fields: 5 of 65
  • Hardware and Architecture 89
  • Computer Science Applications 57
  • Communication 42
  • Information Systems 99
  • Computational Mathematics 2
Replace Jyh-Herng Chow with:
Jyh-Herng Chow United States
Shengjie Wang China
Shudong Jin United States
Károly Farkas Hungary
Yacine Rebahi Germany
Sergio Fortes Spain
Panagiotis C. Kokkinos Greece
Mircea Vlăduţiu Romania
Nam Pham United States
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Citations per field
00.5×2×4×6.8×
Jyh-Herng Chow · 1×
Citations per year

Countries citing papers authored by Thomas Chau

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200465
2 202248
3 201744
4 200544
5 201439
6 200930
7 201825
8 200416
9 201613
10 201412
11 201312
12 20138
13 20238
14 20208
15 20147
16 20096
17 20126
18 20136
19 20135
20 20225

About Thomas Chau

Thomas Chau is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 436 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (9 papers), Parallel Computing and Optimization Techniques (7 papers), VLSI and FPGA Design Techniques (7 papers), Advanced Neural Network Applications (5 papers), Air Traffic Management and Optimization (3 papers), Low-power high-performance VLSI design (3 papers), Evolutionary Algorithms and Applications (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Hardware and Architecture (89 citations), Computer Science Applications (57 citations), Communication (42 citations), Information Systems (99 citations) and Computational Mathematics (2 citations). Thomas Chau has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Frank Maurer, Wayne W. Luk, Danny H.W. Li, Kevin K.W. Wan, Nicholas D. Lane, Mohamed S. Abdelfattah, Paolo Romano, Mario Paolone, Philip H. W. Leong and J.M. Maciejowski. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems, Renewable and Sustainable Energy Reviews, Annals of Oncology, Advances in computers and Lecture notes in computer science.

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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