Keyang Chen

1.5k citations
49 papers · 919 · h-index 18

Impact in

Papers in

Keyang Chen

47 papers receiving 900 citations

Peers

Keyang Chen
Comparison fields: 5 of 127
  • Environmental Engineering 113
  • Computational Mathematics 4
  • Endocrinology, Diabetes and Metabolism 111
  • Building and Construction 88
  • Cell Biology 106
Replace Lorenzo Bianchi with:
Lorenzo Bianchi Italy
Fuyang Zhang China
Xinghai Li China
Dongdong Zhang China
Yiling Liu China
Chulho Lee South Korea
Ming Wei China
Tibor Horváth Hungary
Yuanyuan Fang China
Xiangyun Chen China
Keyang Chen relative to Lorenzo Bianchi Italy Lorenzo Bianchi's profile →
Citations per field
00.5×4.1×
Lorenzo Bianchi · 1×
Citations per year

Countries citing papers authored by Keyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Keyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202282
2 201070
3 202070
4 201363
5 202162
6 202151
7 201045
8 201239
9 201236
10 200534
11 202225
12 201725
13 201922
14 201720
15 202119
16 202119
17 202317
18 201817
19 202215
20 201813

About Keyang Chen

Keyang Chen is a scholar working on Molecular Biology, Mechanical Engineering, Mechanics of Materials, Endocrinology, Diabetes and Metabolism and Surgery, having authored 49 papers that have together received 919 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (6 papers), Lubricants and Their Additives (5 papers), High Entropy Alloys Studies (5 papers), Adhesion, Friction, and Surface Interactions (4 papers), Gestational Diabetes Research and Management (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), High-Temperature Coating Behaviors (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Environmental Engineering (113 citations), Computational Mathematics (4 citations), Endocrinology, Diabetes and Metabolism (111 citations), Building and Construction (88 citations) and Cell Biology (106 citations). Keyang Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kevin Jon Williams, Pan Zhang, Feng Pan, Xiangdong Wu, Yifeng Zhang, Jielin Zhou, Xueting Wang, Duu‐Jong Lee, Chuan Chen and Lei Zhao. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Current Opinion in Lipidology, Wear, Hepatology and Life Sciences.

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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