Jin Zhan

407 citations
28 papers · 237 · h-index 8

Impact in

Papers in

Jin Zhan

21 papers receiving 227 citations

Peers

Jin Zhan
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 160
  • Human-Computer Interaction 27
  • Media Technology 35
  • Nuclear and High Energy Physics 32
  • Sensory Systems 7
Replace Toru Kurihara with:
Toru Kurihara Japan
Barthélémy Heyrman France
Yushan Pan China
Mohamed Tamaazousti France
D. Sudheer Reddy India
Tizian Zeltner Switzerland
Mattia Malfatti Italy
Everett Lawson United States
Long Ma China
Zongxi Song China
Jin Zhan relative to Toru Kurihara Japan Toru Kurihara's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jin Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 202148
3 201914
4 201913
5 202111
6 201410
7 20238
8 20148
9 20237
10 20067
11 20226
12 20234
13 20144
14 20233
15 20153
16 20232
17 20112
18 20192
19 20221
20 20161

About Jin Zhan

Jin Zhan is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 237 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (8 papers), Laser-induced spectroscopy and plasma (6 papers), Laser-Plasma Interactions and Diagnostics (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Gait Recognition and Analysis (4 papers), Visual Attention and Saliency Detection (4 papers) and Laser-Matter Interactions and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Human-Computer Interaction (27 citations), Media Technology (35 citations), Nuclear and High Energy Physics (32 citations) and Sensory Systems (7 citations). Jin Zhan has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Huimin Zhao, Genyun Sun, Jinchang Ren, Yijun Yan, Junwei Han, Stephen Marshall, Xuelong Li, Xiaonan Luo, Rongjun Chen and Hefeng Wu. Their work appears in journals such as Scientific Reports, The Visual Computer, Pattern Recognition, Electronics and Signal Processing Image Communication.

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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