Tianjun Shi

507 citations
28 papers · 342 · h-index 10

Impact in

Papers in

Tianjun Shi

23 papers receiving 311 citations

Peers

Tianjun Shi
Comparison fields: 5 of 52
  • Media Technology 68
  • Computer Vision and Pattern Recognition 155
  • Aerospace Engineering 147
  • Software 15
  • Electronic, Optical and Magnetic Materials 69
Replace Rıfat Kurban with:
Rıfat Kurban Türkiye
Zhiqiang Zhou China
Ziyang Li China
Jianwu Dou China
Haoyue Bai China
Vasilii Semkin Finland
Rujin Zhao China
Tianjun Shi relative to Rıfat Kurban Türkiye Rıfat Kurban's profile →
Citations per field
00.5×4.9×
Rıfat Kurban · 1×
Citations per year

Countries citing papers authored by Tianjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tianjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tianjun Shi, 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 Tianjun Shi Line = papers co-authored together Tianjun Shi 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 201678
2 202157
3 202239
4 200333
5 202221
6 202318
7 202316
8 202312
9 202512
10 20249
11 20237
12 20237
13 20227
14 20236
15 20254
16 20243
17 20213
18 20242
19 20042
20 20242

About Tianjun Shi

Tianjun Shi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 28 papers that have together received 342 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (11 papers), Advanced Neural Network Applications (8 papers), Advanced Image Fusion Techniques (6 papers), Advanced Image Processing Techniques (5 papers), Remote-Sensing Image Classification (4 papers), Optical Systems and Laser Technology (3 papers), Adaptive optics and wavefront sensing (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Media Technology (68 citations), Computer Vision and Pattern Recognition (155 citations), Aerospace Engineering (147 citations), Software (15 citations) and Electronic, Optical and Magnetic Materials (69 citations). Tianjun Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiyang Zhi, Jianming Hu, Jinnan Gong, Wěi Zhāng, Yu Sun, Xudong He, Huiqun Yu, Ziyi Zhao, Jie Qian and Qijun Ren. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Information Fusion, Scientific Reports and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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