Chen Ye

245 papers receiving 4.6k citations

Chen Ye's Hit Papers

quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification 2023 · 159 citations
1590+1+2Years since publication50100150200

Peers

Chen Ye
Comparison fields: 5 of 205
  • Information Systems and Management 457
  • Cancer Research 557
  • Communication 263
  • Nephrology 226
  • Computer Science Applications 123
Replace Fang Wang with:
Fang Wang China
Li Wang China
Chun Li China
Lijun Chen China
Blaž Zupan Slovenia
Duncan Shaw United Kingdom
Qingpeng Zhang China
Yu‐Hui Chen United States
Donald J. Campbell United States
Paul C. Evans United Kingdom
Chen Ye relative to Fang Wang China Fang Wang's profile →
Citations per field
00.5×7.0×
Fang Wang · 1×
Citations per year

Countries citing papers authored by Chen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014375
2 2009221
3 1999206
4
Soil Acidification caused by excessive application of nitrogen fertilizer aggravates soil-borne diseases: Evidence from literature review and field trials
Hit paper breakdown →
2022203
5
quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification
Hit paper breakdown →
2023159
6 2008141
7 2011135
8 2008114
9
Deep Learning Based Detector YOLOv5 for Identifying Insect Pests
Hit paper breakdown →
2022107
10 2020104
11 2008101
12 200985
13 200583
14 201880
15 201876
16 202072
17 199869
18 201068
19 202266
20 200865

About Chen Ye

Chen Ye is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Sociology and Political Science and Information Systems, having authored 264 papers that have together received 4.8k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (15 papers), Technology Adoption and User Behaviour (13 papers), Plant-Microbe Interactions and Immunity (10 papers), Customer Service Quality and Loyalty (9 papers), Cancer-related molecular mechanisms research (8 papers), Renal Diseases and Glomerulopathies (8 papers), Knowledge Management and Sharing (8 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Information Systems and Management (457 citations), Cancer Research (557 citations), Communication (263 citations), Nephrology (226 citations) and Computer Science Applications (123 citations). Chen Ye has collaborated with scholars based in China, United States and France. Frequent co-authors include Oded Nov, Mor Naaman, Richard E. Potter, Joseph J. Kieber, Keith Woeste, Chun Zhang, Chun‐Tao Lei, Hua Su, Shu-Han Sun and Wen Li. Their work appears in journals such as Journal of the Association for Information Systems, American Journal of Physiology-Renal Physiology, Journal of Cellular and Molecular Medicine, Nutrients and Cellular Physiology and Biochemistry.

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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