Chongyan Chen

20 papers receiving 360 citations

Peers

Chongyan Chen
Comparison fields: 5 of 106
  • Health Informatics 9
  • Statistics, Probability and Uncertainty 39
  • Artificial Intelligence 105
  • Information Systems and Management 18
  • Health Information Management 9
Replace Ajay Jaiswal with:
Ajay Jaiswal India
Weiyi Xia United States
Oleg Sysoev Sweden
Patrick Then Malaysia
Moshe Y. Vardi United States
Raúl Alonso-Calvo Spain
Dilvan de Abreu Moreira Brazil
Xiaomei Wang China
Jiaming Tian China
Zhiqiong Wang China
Chongyan Chen relative to Ajay Jaiswal India Ajay Jaiswal's profile →
Citations per field
00.5×1.5×2.2×
Ajay Jaiswal · 1×
Citations per year

Countries citing papers authored by Chongyan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chongyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020118
2 202233
3 202129
4 202229
5 202127
6 201925
7 201925
8 201223
9 202215
10 20229
11 20189
12 20137
13 20216
14 20216
15 20194
16 20233
17 20213
18 20242
19 20202
20 20241

About Chongyan Chen

Chongyan Chen is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Artificial Intelligence, Electrochemistry and Biomedical Engineering, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Electrodeposition and Electroless Coatings (6 papers), Electrochemical Analysis and Applications (3 papers), COVID-19 diagnosis using AI (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Multimodal Machine Learning Applications (2 papers), Corrosion Behavior and Inhibition (2 papers), Cancer-related molecular mechanisms research (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health Informatics (9 citations), Statistics, Probability and Uncertainty (39 citations), Artificial Intelligence (105 citations), Information Systems and Management (18 citations) and Health Information Management (9 citations). Chongyan Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ying Ding, Danna Gurari, Samreen Anjum, Daifeng Li, Min Song, Minbyul Jeong, Jian Xu, Yi Bu, Jaewoo Kang and Dequan Wu. Their work appears in journals such as Journal of Applied Electrochemistry, Green Chemistry, Aging Clinical and Experimental Research, Genes and Journal of the Association for Information Science and Technology.

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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