Lingyu Chen

708 citations
43 papers · 581 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

Lingyu Chen

41 papers receiving 577 citations

Peers

Lingyu Chen
Comparison fields: 5 of 113
  • Immunology 166
  • Cancer Research 52
  • Renewable Energy, Sustainability and the Environment 49
  • Biological Psychiatry 6
  • Oncology 63
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Peiyan Yang China
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Wenbin Jiang China
Xiaoqiang Qi China
Ting Ye China
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Citations per field
00.5×3.7×
Peiyan Yang · 1×
Citations per year

Countries citing papers authored by Lingyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997126
2 200969
3 200056
4 202442
5 202336
6 202332
7 202127
8 202022
9 202415
10 201015
11 202214
12 202312
13 201811
14 202410
15 202110
16 20217
17 20047
18 20237
19 20187
20 20156

About Lingyu Chen

Lingyu Chen is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Immunology, Mechanical Engineering and Cancer Research, having authored 43 papers that have together received 581 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (7 papers), Magnetic Bearings and Levitation Dynamics (6 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), NF-κB Signaling Pathways (4 papers), Polyoxometalates: Synthesis and Applications (4 papers), Smart Grid Energy Management (3 papers), Microgrid Control and Optimization (3 papers) and Laser Material Processing Techniques (3 papers). The work is most often cited by research in Immunology (166 citations), Cancer Research (52 citations), Renewable Energy, Sustainability and the Environment (49 citations), Biological Psychiatry (6 citations) and Oncology (63 citations). Lingyu Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhixing K. Pan, Bruce L. Zuraw, Dwight H. Kono, Elyssa Rubin, Hui Shao, Jonathan Kaye, Thomas J. Papadimos, Shuang Huang, Charles G. Cochrane and Sumanta Mukherjee. Their work appears in journals such as Inorganica Chimica Acta, Optics & Laser Technology, Applied Catalysis B: Environmental, IEEE Transactions on Industry Applications and Journal of Biological Chemistry.

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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