Thomas Chau

695 citations
29 papers · 294 · h-index 9

Impact in

Papers in

Thomas Chau

28 papers receiving 282 citations

Peers

Thomas Chau
Comparison fields: 5 of 58
  • Hardware and Architecture 68
  • Computer Science Applications 23
  • Artificial Intelligence 83
  • Communication 17
  • Electrical and Electronic Engineering 132
Replace Minkyong Kim with:
Minkyong Kim United States
Xiaocan Li China
Yangguang Cui China
Igor Radusinović Montenegro
Bowen Bao China
Pedro B. Velloso Brazil
Terpsichori-Helen Velivassaki Greece
Robin Baldwin United States
José M. Moya Spain
Dane Brown United States
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Citations per field
00.5×8.5×
Minkyong Kim · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201742
2 201438
3 202237
4 200536
5 200927
6 201824
7 201611
8
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
202110
9 20149
10 20138
11 20096
12 20205
13 20145
14 20135
15 20234
16 20124
17 20104
18 20133
19 20133
20 20102

About Thomas Chau

Thomas Chau is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 29 papers that have together received 294 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (7 papers), Embedded Systems Design Techniques (7 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Neural Network Applications (4 papers), Low-power high-performance VLSI design (3 papers), Air Traffic Management and Optimization (3 papers), 3D IC and TSV technologies (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Hardware and Architecture (68 citations), Computer Science Applications (23 citations), Artificial Intelligence (83 citations), Communication (17 citations) and Electrical and Electronic Engineering (132 citations). Thomas Chau has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Frank Maurer, Wayne Luk, Kevin Wan, Danny H.W. Li, Paolo Romano, Mario Paolone, Mohamed S. Abdelfattah, Philip H. W. Leong, Nicholas D. Lane and Eddie Hung. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Annals of Oncology, ACM Transactions on Reconfigurable Technology and Systems, Lecture notes in computer science and Spiral (Imperial College London).

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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