Ke Qin

2.0k citations
93 papers · 1.4k · 1 hit paper · h-index 17

Impact in

Papers in

Ke Qin

79 papers receiving 1.3k citations

Ke Qin's Hit Papers

An image encryption scheme based on chaotic tent map 2016 · 374 citations
3740+3+6Years since publication100200300

Peers

Ke Qin
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 470
  • Software 81
  • Artificial Intelligence 454
  • Statistical and Nonlinear Physics 155
  • Media Technology 102
Replace Guangchun Luo with:
Guangchun Luo China
Bin Gu China
M. N. S. Swamy Canada
Xiao Chen China
Purushottam Kar India
Pengcheng Wei China
Feng Yin China
Ke Wang China
Brian White United Kingdom
Zhen Ji China
Ke Qin relative to Guangchun Luo China Guangchun Luo's profile →
Citations per field
00.5×1.5×
Guangchun Luo · 1×
Citations per year

Countries citing papers authored by Ke Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ke Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An image encryption scheme based on chaotic tent map
Hit paper breakdown →
2016374
2 2016147
3 2021111
4 2019100
5 201340
6 201439
7 202239
8 201630
9 201829
10 202129
11 200927
12 202326
13 202026
14 202123
15 202023
16 202318
17 201816
18 201414
19 201313
20 201912

About Ke Qin

Ke Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers), Advanced Graph Neural Networks (9 papers), Neural Networks and Applications (9 papers), Software Engineering Research (7 papers), Video Surveillance and Tracking Methods (7 papers), Chaos control and synchronization (7 papers) and Chaos-based Image/Signal Encryption (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Software (81 citations), Artificial Intelligence (454 citations), Statistical and Nonlinear Physics (155 citations) and Media Technology (102 citations). Ke Qin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guangchun Luo, Chunbao Li, Chunhu Li, Ling Tian, Shen‐En Qian, Guangyi Chen, Guoming Lu, Yongsheng Yang, Bo Li and Bing Xiao. Their work appears in journals such as Knowledge-Based Systems, Neurocomputing, IEEE Access, Neural Computing and Applications and Big Data Mining and Analytics.

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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