Kaijun Zhou

884 citations
60 papers · 673 · h-index 15

Impact in

Papers in

Kaijun Zhou

56 papers receiving 580 citations

Peers

Kaijun Zhou
Comparison fields: 5 of 74
  • Atomic and Molecular Physics, and Optics 315
  • Computer Vision and Pattern Recognition 129
  • Electrical and Electronic Engineering 362
  • Water Science and Technology 63
  • Signal Processing 36
Replace Yozo Shoji with:
Yozo Shoji Japan
Yu Qin China
Kieran Delaney Ireland
Abdelmoula Bekkali Japan
Hongsuk Yi South Korea
Sujata Pandey India
Mohammed Najm Abdullah Iraq
Kaijun Zhou relative to Yozo Shoji Japan Yozo Shoji's profile →
Citations per field
00.5×10.5×
Yozo Shoji · 1×
Citations per year

Countries citing papers authored by Kaijun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201556
2 202152
3 201651
4 201740
5 201836
6 200933
7 201729
8 201827
9 201224
10 200920
11 202118
12 201616
13 201915
14 201015
15 202214
16 201714
17 201813
18 201112
19 202012
20 201512

About Kaijun Zhou

Kaijun Zhou is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Signal Processing and Mechanical Engineering, having authored 60 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (26 papers), Advanced Fiber Optic Sensors (14 papers), Photonic Crystal and Fiber Optics (12 papers), Semiconductor Lasers and Optical Devices (8 papers), Photonic and Optical Devices (8 papers), Optical Network Technologies (7 papers), Biometric Identification and Security (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (315 citations), Computer Vision and Pattern Recognition (129 citations), Electrical and Electronic Engineering (362 citations), Water Science and Technology (63 citations) and Signal Processing (36 citations). Kaijun Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lingli Yu, Shanhui Xu, Changsheng Yang, Qilai Zhao, Zhouming Feng, Zhongmin Yang, Chunhua Yang, Can Li, Wei Lin and Jiulin Gan. Their work appears in journals such as Optics Letters, Applied Physics Express, Optics Express, IEEE Photonics Technology Letters and Applied Intelligence.

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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