Kejun Deng

2.7k citations
80 papers · 1.9k indexed · 2 hit papers · h-index 25
Topics
Machine Learning in Bioinformatics (11 papers)Fungal Biology and Applications (6 papers)Plant Molecular Biology Research (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Power Sources
Partner nations
ChinaUnited StatesQatar

In The Last Decade

Kejun Deng

70 papers receiving 1.8k citations

Hit Papers

Risk Prediction of Diabetes: Big data mining with fusion ...2021202620222024202120234080120

Peers

Kejun Deng
Comparison fields: 5 of 132
  • Molecular Biology 1.3k
  • Plant Science 714
  • Computational Theory and Mathematics 108
  • Cancer Research 108
  • Genetics 103
Replace Hongfang Liu with:
Hongfang Liu United States
Wanwipa Vongsangnak Thailand
Jingfang Zhang China
Rong Chen China
Nashi Widodo Indonesia
Junjun Wu China
Gauhar Rehman Pakistan
Florian David Sweden
Liping Sun China
Guanxing Chen China
Kejun Deng relative to Hongfang Liu United States Hongfang Liu's profile →
Citations per field
00.5×1.5×2.4×
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-authorship network of co-authors of Kejun Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Deng. A scholar is included among the top collaborators of Kejun Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kejun Deng. Kejun Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 12
7 6
8 29
9 18
10 33
11 32
12 7
13 28
14 73
15 71
16 5
17
Genetic diversity analysis of various red spider miteresistant upland cotton cultivars based on RAPD
1
18
Molecular identification and genetic diversity of a traditional Chinese medicinal fungus 'Sanghuang'
1
19 2
20 36

About Kejun Deng

Kejun Deng is a scholar working on Complementary and alternative medicine, Molecular Biology and Health Information Management, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Fungal Biology and Applications (6 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Business and International Management (53 citations), Plant Science (714 citations) and Molecular Biology (1.3k citations). Kejun Deng has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Yong Zhang, Xuelian Zheng, Jianping Zhou, Hao Lin, Xu Tang, Yiping Qi, Dan Yan, Zhaohui Zhong, Tao Zhang and Hui Ding. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Power Sources.

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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