Kaijun Wang

840 citations
29 papers · 538 · h-index 12

Impact in

Papers in

Kaijun Wang

26 papers receiving 510 citations

Peers

Kaijun Wang
Comparison fields: 5 of 135
  • Biophysics 78
  • Building and Construction 81
  • Artificial Intelligence 149
  • Discrete Mathematics and Combinatorics 12
  • Energy Engineering and Power Technology 10
Replace Saurabh Agarwal with:
Saurabh Agarwal India
Hanli Qiao China
Yuting Sun China
Janek Thomas Germany
Sirshendu Hore India
Fabian Ojeda Belgium
Yi Wu China
Xiaomin Fang China
Kai-Bo Duan Singapore
Enas Elgeldawi Egypt
Kaijun Wang relative to Saurabh Agarwal India Saurabh Agarwal's profile →
Citations per field
00.5×4.6×
Saurabh Agarwal · 1×
Citations per year

Countries citing papers authored by Kaijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009107
2
Electromagnetic noise inhibits radiofrequency radiation-induced DNA damage and reactive oxygen species increase in human lens epithelial cells.
200866
3 202159
4 200739
5 201638
6 201536
7 202233
8 201330
9 200919
10 201619
11 201115
12 202011
13 200811
14 200811
15 202310
16 20179
17 20205
18 20204
19
Nonparametric High-dimensional K-sample Comparison
20183
20 20213

About Kaijun Wang

Kaijun Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology and Signal Processing, having authored 29 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Face and Expression Recognition (3 papers), Image Retrieval and Classification Techniques (3 papers), Anaerobic Digestion and Biogas Production (2 papers), Statistical Methods and Inference (2 papers), Microgrid Control and Optimization (2 papers), Advanced Graph Theory Research (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Biophysics (78 citations), Building and Construction (81 citations), Artificial Intelligence (149 citations), Discrete Mathematics and Combinatorics (12 citations) and Energy Engineering and Power Technology (10 citations). Kaijun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Baijie Wang, Lifei Chen, Yasir Abbas, Sining Yun, Ke Yao, Junying Zhang, Fayyaz Ali Shah, Bingjie Li, Tian Xing and Shengrui Wang. Their work appears in journals such as Bioresource Technology, Investigative Ophthalmology & Visual Science, Knowledge and Information Systems, Scientific Reports and Data Science 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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