Zeming Chen

22 papers receiving 162 citations

Peers

Zeming Chen
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 37
  • Media Technology 14
  • Artificial Intelligence 51
  • Economics and Econometrics 31
  • Acoustics and Ultrasonics 1
Replace Omid Poursaeed with:
Omid Poursaeed United States
Fusen Guo Australia
Hui Yuan China
Mohammed Jashim Uddin Bangladesh
Asif Kabir China
Sang-Woo Lee South Korea
Weijun Lin China
Peilun Li China
Umut Uğurlu Türkiye
V. P. Sriram India
Zeming Chen relative to Omid Poursaeed United States Omid Poursaeed's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zeming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zeming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202237
2 202418
3 202117
4 202313
5 202311
6 202311
7 201910
8 20128
9 20227
10 20246
11 20114
12 20214
13 20243
14 20223
15 20223
16 20253
17 20223
18 20223
19 20212
20 20202

About Zeming Chen

Zeming Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Sociology and Political Science, having authored 26 papers that have together received 170 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced Neural Network Applications (3 papers), Text Readability and Simplification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (37 citations), Media Technology (14 citations), Artificial Intelligence (51 citations), Economics and Econometrics (31 citations) and Acoustics and Ultrasonics (1 citation). Zeming Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Lawrence S. Moss, Zhangfeng Shen, Awais Bokhari, Ning Han, Jiří Jaromír Klemeš, Long-Wen Chang, Antoine Bosselut, Muhammad Salman Shabbir, Fan Li and Yu Wang. Their work appears in journals such as Medical Physics, Journal of Logic Language and Information, Journal of Orthopaedic Surgery and Research, Virtual Reality and EURASIP Journal on Wireless Communications and Networking.

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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