Bowen Tan

1.4k citations
42 papers · 621 · h-index 14

Impact in

Papers in

Bowen Tan

35 papers receiving 602 citations

Peers

Bowen Tan
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 62
  • Artificial Intelligence 329
  • Behavioral Neuroscience 18
  • Cellular and Molecular Neuroscience 68
  • Computer Vision and Pattern Recognition 78
Replace Paul Klemm with:
Paul Klemm Germany
Shusheng Yang China
Júlia Koller Hungary
Dengfeng Huang China
Haifeng Li China
Xin Deng China
Gye-Young Kim South Korea
Anand Venkataraman United States
Yiling Yang China
Bowen Tan relative to Paul Klemm Germany Paul Klemm's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bowen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202093
2 201961
3 202057
4 202145
5 202140
6 201936
7 201632
8 202432
9 201929
10 202024
11 201818
12 202316
13 202215
14
Structured Dialogue Policy with Graph Neural Networks
201815
15 202312
16 202512
17 202112
18 202311
19 20227
20 20187

About Bowen Tan

Bowen Tan is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 42 papers that have together received 621 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers), Speech and dialogue systems (6 papers), Regulation of Appetite and Obesity (3 papers), Advanced Text Analysis Techniques (3 papers), Receptor Mechanisms and Signaling (2 papers), Sleep and Wakefulness Research (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (62 citations), Artificial Intelligence (329 citations), Behavioral Neuroscience (18 citations), Cellular and Molecular Neuroscience (68 citations) and Computer Vision and Pattern Recognition (78 citations). Bowen Tan has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Eric P. Xing, Zhiting Hu, Kai Yu, Jeffrey M. Friedman, Lu Chen, Chi Wang, Su Zhu, Lisa E. Pomeranz, Katherine R. Doerig and Sarah A. Stern. Their work appears in journals such as Obesity, Cell Metabolism, Psychonomic Bulletin & Review, Advanced Functional Materials and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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