Mingyang Chen

924 citations
33 papers · 595 · h-index 11

Impact in

Papers in

Mingyang Chen

29 papers receiving 591 citations

Peers

Mingyang Chen
Comparison fields: 5 of 72
  • Artificial Intelligence 421
  • Computer Vision and Pattern Recognition 157
  • Human-Computer Interaction 27
  • Management Science and Operations Research 48
  • Computational Mathematics 2
Replace Jishang Wei with:
Jishang Wei United States
Yao Meng China
Meiyu Liang China
Christian Buck United Kingdom
Yida Wang China
Huaishao Luo China
Yanhong Wu Hong Kong
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Citations per field
00.5×4.4×
Jishang Wei · 1×
Citations per year

Countries citing papers authored by Mingyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2 2020110
3 202245
4 202144
5 202136
6 202231
7 202230
8 202324
9 202217
10 202313
11 202311
12 202310
13 20229
14 20229
15 20218
16 20245
17 20235
18 20224
19 20234
20 20233

About Mingyang Chen

Mingyang Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Ecology, having authored 33 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (16 papers), Topic Modeling (14 papers), Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers), Coastal and Marine Management (3 papers), Bayesian Modeling and Causal Inference (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Coral and Marine Ecosystems Studies (3 papers). The work is most often cited by research in Artificial Intelligence (421 citations), Computer Vision and Pattern Recognition (157 citations), Human-Computer Interaction (27 citations), Management Science and Operations Research (48 citations) and Computational Mathematics (2 citations). Mingyang Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Huajun Chen, Wen Zhang, Qiang Chen, Wei Zhang, Zonggang Yuan, Yantao Jia, Hao-Shu Fang, Xijie Huang, Cewu Lu and Shiyi Wang. Their work appears in journals such as Frontiers in Marine Science, Knowledge-Based Systems, Journal of Systems Architecture, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Ocean & Coastal Management.

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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