Kaihui Cheng

631 citations
33 papers · 393 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 17
    • Respiratory viral infections research 10
    • Viral gastroenteritis research and epidemiology 9
    • Viral Infections and Vectors 3

Kaihui Cheng

33 papers receiving 385 citations

Peers

Kaihui Cheng
Comparison fields: 5 of 56
  • Agronomy and Crop Science 130
  • Infectious Diseases 169
  • Animal Science and Zoology 98
  • Epidemiology 244
  • Immunology 52
Replace Xuetao Jiang with:
Xuetao Jiang China
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Chuantian Xu China
Yonghao Hu China
Min-Shiuh Lee Taiwan
Mingeun Sagong South Korea
Kaituo Liu China
Yuan-Pin Huang Taiwan
Erhan GÖKÇE Türkiye
Y. K. Kwon South Korea
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Citations per field
00.5×4.2×
Xuetao Jiang · 1×
Citations per year

Countries citing papers authored by Kaihui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kaihui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201457
2 201354
3 201349
4 201437
5 201523
6 201320
7 201415
8 201415
9 201614
10 201711
11 202211
12 20239
13 20257
14 20177
15 20197
16 20156
17 20176
18 20196
19 20255
20 20174

About Kaihui Cheng

Kaihui Cheng is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 393 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Animal Disease Management and Epidemiology (11 papers), Respiratory viral infections research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (4 papers), Viral Infections and Vectors (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Agronomy and Crop Science (130 citations), Infectious Diseases (169 citations), Animal Science and Zoology (98 citations), Epidemiology (244 citations) and Immunology (52 citations). Kaihui Cheng has collaborated with scholars based in China and United States. Frequent co-authors include Zhijun Yu, Xianzhu Xia, Yuwei Gao, Tiecheng Wang, Kun Zhang, Weiyang Sun, Chuan Qin, Songtao Yang, Geng Huang and Jing Huang. Their work appears in journals such as Archives of Virology, Veterinary Microbiology, Virus Research, Transboundary and Emerging Diseases and Virology.

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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