Yan Chu

704 citations
58 papers · 444 · h-index 10

Impact in

Papers in

Yan Chu

41 papers receiving 417 citations

Peers

Yan Chu
Comparison fields: 5 of 127
  • Analytical Chemistry 55
  • Computer Vision and Pattern Recognition 104
  • Artificial Intelligence 118
  • Information Systems 71
  • Business and International Management 6
Replace Andrea Bommert with:
Andrea Bommert Germany
Mohamed Roushdy Egypt
Sujata Chakravarty India
Fuseini Mumuni Ghana
Hassan Ramchoun Morocco
Alhassan Mumuni Ghana
R Muthukrishnan India
Kamil Dimililer Cyprus
Syed Furqan Qadri China
Óscar Reyes Spain
Yan Chu relative to Andrea Bommert Germany Andrea Bommert's profile →
Citations per field
00.5×6.5×
Andrea Bommert · 1×
Citations per year

Countries citing papers authored by Yan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 202069
3 201861
4 201221
5 201615
6 202313
7 201812
8 202010
9 20249
10 20209
11 20109
12
Variable Scale Network Overlapping Community Identification Based on Identity Uncertainty
20127
13 20246
14 20106
15 20245
16 20115
17 20204
18 20224
19 20054
20 20144

About Yan Chu

Yan Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Molecular Biology and Electrical and Electronic Engineering, having authored 58 papers that have together received 444 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (3 papers), Advanced Algorithms and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers), Pain Mechanisms and Treatments (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Analytical Chemistry (55 citations), Computer Vision and Pattern Recognition (104 citations), Artificial Intelligence (118 citations), Information Systems (71 citations) and Business and International Management (6 citations). Yan Chu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ying Guo, Feng Jiang, Xu Yu, Dunwei Gong, Zhengkui Wang, Lei Yu, Yongfeng Lu, Zhongqi Hao, Yang Yu and Jianpei Zhang. Their work appears in journals such as Optics Express, IEEE Access, International Journal of Radiation Oncology*Biology*Physics, Buildings and Infection and Drug Resistance.

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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