William Chen

1.3k citations
27 papers · 980 · h-index 10

Impact in

Papers in

    • Speech Recognition and Synthesis 15
    • Natural Language Processing Techniques 11
    • Topic Modeling 5
    • Speech and dialogue systems 4
    • Advanced Image and Video Retrieval Techniques 5
    • Image Retrieval and Classification Techniques 5
    • Video Analysis and Summarization 5

William Chen

25 papers receiving 940 citations

Peers

William Chen
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 433
  • Signal Processing 135
  • Electrical and Electronic Engineering 353
  • Atomic and Molecular Physics, and Optics 185
  • Electrochemistry 29
Replace Gianluca Piccinini with:
Gianluca Piccinini Italy
Yuchi Kanzawa Japan
Mingyan Gao China
Zhenming Yu China
Paul C. Mogensen France
Oğuz H. Elibol United States
Ying‐Jui Chen United States
Xinyu Gao China
Sovan Biswas India
Takashi Miyazaki Japan
William Chen relative to Gianluca Piccinini Italy Gianluca Piccinini's profile →
Citations per field
00.5×2×4×5.3×
Gianluca Piccinini · 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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998298
2 2011258
3 2013124
4 2002122
5 202331
6 202420
7 202319
8 202318
9 202315
10 200211
11 200210
12 20247
13 20237
14 20217
15 19896
16 20234
17 20244
18 20234
19 20023
20 20243

About William Chen

William Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 27 papers that have together received 980 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Video Analysis and Summarization (5 papers), Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Wireless Networks and Protocols (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (433 citations), Signal Processing (135 citations), Electrical and Electronic Engineering (353 citations), Atomic and Molecular Physics, and Optics (185 citations) and Electrochemistry (29 citations). William Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Hari Sundaram, Shih‐Fu Chang, Di Zhong, Jonathan R. Widawsky, Ronald Breslow, Mark S. Hybertsen, Latha Venkataraman, Héctor Vázquez, Zhan-Ling Cheng and Severin T. Schneebeli. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Briefings in Bioinformatics, Nature Nanotechnology and Nano Letters.

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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