Jun Tan

1.9k citations
124 papers · 1.3k · h-index 19

Impact in

Papers in

Jun Tan

111 papers receiving 1.2k citations

Peers

Jun Tan
Comparison fields: 5 of 139
  • Automotive Engineering 281
  • Computer Vision and Pattern Recognition 214
  • Ceramics and Composites 55
  • Radiology, Nuclear Medicine and Imaging 165
  • Artificial Intelligence 247
Replace Zhe Zhu with:
Zhe Zhu China
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Nagwan Abdel Samee Saudi Arabia
Xu Liu China
Ramin Ranjbarzadeh Iran
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Jun Tan relative to Zhe Zhu China Zhe Zhu's profile →
Citations per field
00.5×10×15×18.3×
Zhe Zhu · 1×
Citations per year

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015198
2 201154
3 202051
4 201150
5 201044
6 202243
7 199843
8 201934
9 201831
10 201029
11 201629
12 201028
13 201223
14 201522
15 201021
16 202220
17 201219
18 201819
19 201319
20 202118

About Jun Tan

Jun Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Automotive Engineering, having authored 124 papers that have together received 1.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Electric Vehicles and Infrastructure (11 papers), Advanced Battery Technologies Research (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Image Processing and 3D Reconstruction (7 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Radiotherapy Techniques (6 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Automotive Engineering (281 citations), Computer Vision and Pattern Recognition (214 citations), Ceramics and Composites (55 citations), Radiology, Nuclear Medicine and Imaging (165 citations) and Artificial Intelligence (247 citations). Jun Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lingfeng Wang, Bin Zheng, Dror Lederman, Ning Bi, Xingwei Wang, Ping Xiao, Jianhuang Lai, Eddie López‐Honorato, Xiao Hui Wang and P.J. Meadows. Their work appears in journals such as Medical Physics, IEEE Transactions on Smart Grid, Academic Radiology, Ore Geology Reviews and Physics in Medicine and Biology.

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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