Guihe Qin

707 citations
83 papers · 483 · h-index 13

Impact in

    • Advanced Battery Technologies Research
    • Electric and Hybrid Vehicle Technologies
    • Visual Attention and Saliency Detection
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods

Papers in

Guihe Qin

72 papers receiving 462 citations

Peers

Guihe Qin
Comparison fields: 5 of 58
  • Automotive Engineering 99
  • Computer Vision and Pattern Recognition 150
  • Software 22
  • Hardware and Architecture 33
  • Safety, Risk, Reliability and Quality 39
Replace Georg Färber with:
Georg Färber Germany
Manato Hirabayashi Japan
Chulhoon Jang South Korea
Vipin Kumar Kukkala United States
Gennaro Notomista United States
Abhishek Gupta Canada
Gonçalo Martins United States
Jongsung Kim South Korea
Biao Hu China
Chris Urmson United States
Guihe Qin relative to Georg Färber Germany Georg Färber's profile →
Citations per field
00.5×10×12.5×
Georg Färber · 1×
Citations per year

Countries citing papers authored by Guihe Qin

Since Specialization
Citations

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

Fields of papers citing papers by Guihe Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202259
2 202043
3 202025
4 201523
5 202319
6 202318
7 200418
8 202414
9 201414
10 200414
11 202213
12 201012
13 201912
14 201612
15 202410
16 200310
17 20149
18 20248
19 20218
20 20198

About Guihe Qin

Guihe Qin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 83 papers that have together received 483 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (15 papers), Network Security and Intrusion Detection (10 papers), Real-Time Systems Scheduling (7 papers), Advanced Neural Network Applications (6 papers), Visual Attention and Saliency Detection (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Industrial Technology and Control Systems (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Automotive Engineering (99 citations), Computer Vision and Pattern Recognition (150 citations), Software (22 citations), Hardware and Architecture (33 citations) and Safety, Risk, Reliability and Quality (39 citations). Guihe Qin has collaborated with scholars based in China, Iran and South Korea. Frequent co-authors include Yanhua Liang, Minghui Sun, Jie Yan, Yubao Liu, Jun Qin, Jianchao Wang, Yue Li, Ming Li, Jun Qin and Huiming Jiang. Their work appears in journals such as Neurocomputing, Computers & Security, Multimedia Tools and Applications, International Journal of Automotive Technology and IEEE Access.

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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