Keyi Chen

32 papers receiving 538 citations

Keyi Chen's Hit Papers

Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy 2025 · 26 citations
260Years since publication510152025

Peers

Keyi Chen
Comparison fields: 5 of 107
  • Pollution 170
  • Industrial and Manufacturing Engineering 51
  • Biomaterials 70
  • Agronomy and Crop Science 43
  • Cardiology and Cardiovascular Medicine 76
Replace Minghao Yan with:
Minghao Yan China
Zi Liang China
Irshad Ahmad India
Da Lin China
Chunxiao Yu China
Qingbo Zhao China
Chang Zhao China
Rong Zou China
Ashlee N. Ford Versypt United States
Keyi Chen relative to Minghao Yan China Minghao Yan's profile →
Citations per field
00.5×4.2×
Minghao Yan · 1×
Citations per year

Countries citing papers authored by Keyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Keyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202195
2 202374
3 202260
4 202034
5 201934
6 202431
7 202330
8
Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy
Hit paper breakdown →
202526
9 202025
10 201520
11 202220
12 202214
13 202313
14 20147
15 20257
16 20217
17 20256
18 20236
19 20245
20 20244

About Keyi Chen

Keyi Chen is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Infectious Diseases and Pollution, having authored 37 papers that have together received 544 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), Microplastics and Plastic Pollution (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), biodegradable polymer synthesis and properties (3 papers), Advanced battery technologies research (3 papers), Animal Disease Management and Epidemiology (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Pollution (170 citations), Industrial and Manufacturing Engineering (51 citations), Biomaterials (70 citations), Agronomy and Crop Science (43 citations) and Cardiology and Cardiovascular Medicine (76 citations). Keyi Chen has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Nguyen Quoc Khanh Le, Matthew Chin Heng Chua, Ali El‐Naggar, Ronggui Tang, Yongming Luo, Scott X. Chang, Yanjiang Cai, Changbin Zhang, Mingyong Luo and Xiaohan Yang. Their work appears in journals such as Journal of Hazardous Materials, Journal of Colloid and Interface Science, Infection Genetics and Evolution, Frontiers in Microbiology and Materials Science and Engineering R Reports.

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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