Kun Qiu

4.4k citations
336 papers · 3.3k · h-index 31

Impact in

Papers in

Kun Qiu

286 papers receiving 3.1k citations

Peers

Kun Qiu
Comparison fields: 5 of 91
  • Statistical and Nonlinear Physics 705
  • Electrical and Electronic Engineering 2.1k
  • Computer Networks and Communications 740
  • Computer Vision and Pattern Recognition 576
  • Artificial Intelligence 771
Replace Danshi Wang with:
Danshi Wang China
Shuo Cai China
Ahmed Hassan Madian Egypt
Sani Richard Nassif United States
R.M. Goodman United States
Robert W. Leland United States
E.S. Kuh United States
Young-Han Kim United States
Sattar Mirzakuchaki Iran
Tong Yang China
Kun Qiu relative to Danshi Wang China Danshi Wang's profile →
Citations per field
00.5×2×4×6×7.5×
Danshi Wang · 1×
Citations per year

Countries citing papers authored by Kun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 336 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019155
2 202193
3 201786
4 201774
5 201972
6 202065
7 201664
8 202261
9 201459
10 201657
11 201854
12 202252
13 201950
14 201949
15 202349
16 201747
17 201847
18 201945
19 201843
20 201542

About Kun Qiu

Kun Qiu is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 336 papers that have together received 3.3k indexed citations. Recurring topics across this work include Optical Network Technologies (197 papers), Advanced Photonic Communication Systems (142 papers), Photonic and Optical Devices (61 papers), Advanced Fiber Laser Technologies (58 papers), Chaos control and synchronization (40 papers), Advanced Optical Network Technologies (33 papers), Semiconductor Lasers and Optical Devices (30 papers) and Nonlinear Dynamics and Pattern Formation (30 papers). The work is most often cited by research in Statistical and Nonlinear Physics (705 citations), Electrical and Electronic Engineering (2.1k citations), Computer Networks and Communications (740 citations), Computer Vision and Pattern Recognition (576 citations) and Artificial Intelligence (771 citations). Kun Qiu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ning Jiang, Chongfu Zhang, Chenpeng Xue, Anke Zhao, Shiqin Liu, Yiqun Zhang, Yunxin Lv, Xingwen Yi, Jianming M. Tang and C F Chen. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, Optics Communications, Optics Letters and Optical Fiber Technology.

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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