Kejun Deng

2.8k citations
82 papers · 2.0k · h-index 25

Impact in

Papers in

    • Machine Learning in Bioinformatics 9
    • CRISPR and Genetic Engineering 5
    • Plant Molecular Biology Research 6
    • Plant Disease Resistance and Genetics 5
    • Wheat and Barley Genetics and Pathology 5
    • Plant Stress Responses and Tolerance 5

Kejun Deng

73 papers receiving 1.9k citations

Peers

Kejun Deng
Comparison fields: 5 of 126
  • Business and International Management 49
  • Molecular Biology 1.3k
  • Plant Science 699
  • Health Information Management 56
  • Aging 19
Replace Hongfang Liu with:
Hongfang Liu United States
Jingfang Zhang China
Wanwipa Vongsangnak Thailand
Nashi Widodo Indonesia
Rong Chen China
Junjun Wu China
Gauhar Rehman Pakistan
Guanxing Chen China
Pascale Daran‐Lapujade Netherlands
Liping Sun China
Kejun Deng relative to Hongfang Liu United States Hongfang Liu's profile →
Citations per field
00.5×
Hongfang Liu · 1×
Citations per year

Countries citing papers authored by Kejun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019181
2 2017153
3 2021145
4 2018134
5 202398
6 202176
7 201672
8 202263
9 201662
10 201253
11 202351
12 202346
13 202042
14 201641
15 202339
16 201739
17 201937
18 202336
19 200636
20 201233

About Kejun Deng

Kejun Deng is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Artificial Intelligence and Pharmacology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Plant Molecular Biology Research (6 papers), Fungal Biology and Applications (6 papers), Plant Disease Resistance and Genetics (5 papers), Wheat and Barley Genetics and Pathology (5 papers), Plant Stress Responses and Tolerance (5 papers), CRISPR and Genetic Engineering (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Business and International Management (49 citations), Molecular Biology (1.3k citations), Plant Science (699 citations), Health Information Management (56 citations) and Aging (19 citations). Kejun Deng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yong Zhang, Xuelian Zheng, Hao Lin, Jianping Zhou, Xu Tang, Yiping Qi, Dan Yan, Zhaohui Zhong, Yang Zhang and Tao Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Plant Science, Briefings in Bioinformatics, Plant Cell Reports and Frontiers in Medicine.

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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