Dehua Chen

2.1k citations
131 papers · 1.4k · h-index 20

Impact in

Papers in

    • Research in Cotton Cultivation 34
    • Genetically Modified Organisms Research 21
    • Insect Resistance and Genetics 29
    • Biomedical Text Mining and Ontologies 10

Dehua Chen

121 papers receiving 1.4k citations

Peers

Dehua Chen
Comparison fields: 5 of 134
  • Immunology and Allergy 100
  • Insect Science 178
  • Cancer Research 179
  • Plant Science 456
  • Molecular Biology 634
Replace Adam Platt with:
Adam Platt United Kingdom
Jingming Wang China
Henk P.J. Buermans Netherlands
Jason Reuter United States
Metka Lenassi Slovenia
Danni Lin China
Sven Nahnsen Germany
Hiroshi Uehara Japan
Scott Tighe United States
Liyu Liu Taiwan
Dehua Chen relative to Adam Platt United Kingdom Adam Platt's profile →
Citations per field
00.5×7.4×
Adam Platt · 1×
Citations per year

Countries citing papers authored by Dehua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201787
3 200461
4 201757
5 201050
6 201342
7 200037
8 201236
9 202234
10 200930
11 201830
12 201629
13 202129
14 201527
15 200827
16 200527
17 201527
18 201723
19 201722
20 200720

About Dehua Chen

Dehua Chen is a scholar working on Plant Science, Molecular Biology, Insect Science, Artificial Intelligence and Ocean Engineering, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (34 papers), Insect Resistance and Genetics (29 papers), Genetically Modified Organisms Research (21 papers), Insect and Pesticide Research (15 papers), Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (9 papers), Allergic Rhinitis and Sensitization (8 papers) and Geophysical Methods and Applications (7 papers). The work is most often cited by research in Immunology and Allergy (100 citations), Insect Science (178 citations), Cancer Research (179 citations), Plant Science (456 citations) and Molecular Biology (634 citations). Dehua Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuan Chen, Guoyou Ye, Chen Yuan, Yang Wu, Zhiqiang Gao, Junfeng Wang, Xuesong Ma, Yuan Chen, Changqin Yang and Qing‐Ling Fu. Their work appears in journals such as Field Crops Research, Journal of Integrative Agriculture, Agronomy, Frontiers in Plant Science and Agronomy Journal.

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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