Wenhu Chen

5.2k citations
70 papers · 1.2k · h-index 20

Impact in

Papers in

Wenhu Chen

63 papers receiving 1.1k citations

Peers

Wenhu Chen
Comparison fields: 5 of 87
  • Artificial Intelligence 817
  • Computer Vision and Pattern Recognition 352
  • Health Informatics 13
  • Management Science and Operations Research 87
  • Computer Networks and Communications 109
Replace Jiajun Chen with:
Jiajun Chen China
Yonatan Bisk United States
Bolun Wang United States
André F. T. Martins Portugal
Hao Zhou China
Yeyun Gong China
Ulrich Paquet United Kingdom
Derek F. Wong Macao
Yichun Yin China
Wenhu Chen relative to Jiajun Chen China Jiajun Chen's profile →
Citations per field
00.5×3.4×
Jiajun Chen · 1×
Citations per year

Countries citing papers authored by Wenhu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wenhu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 201889
3 201869
4 202069
5
Open Question Answering over Tables and Text
202151
6 202348
7
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
201947
8 202045
9 202345
10 202043
11 202241
12
TabFact: A Large-scale Dataset for Table-based Fact Verification
202039
13 202134
14 202333
15 202132
16 202031
17 202230
18 202324
19 202320
20 201819

About Wenhu Chen

Wenhu Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Natural Language Processing Techniques (26 papers), Multimodal Machine Learning Applications (15 papers), Neural Networks Stability and Synchronization (11 papers), Stability and Control of Uncertain Systems (11 papers), Speech and dialogue systems (5 papers), Matrix Theory and Algorithms (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Artificial Intelligence (817 citations), Computer Vision and Pattern Recognition (352 citations), Health Informatics (13 citations), Management Science and Operations Research (87 citations) and Computer Networks and Communications (109 citations). Wenhu Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include William Yang Wang, Xifeng Yan, Wenhan Xiong, William Yang Wang, Xin Wang, Hanwen Zha, Yong He, Chuan‐Ke Zhang, Yuan-Fang Wang and Zhiyu Chen. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Science China Information Sciences, Nuclear Engineering and Design, Optics Communications and Applied Mathematical Modelling.

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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