Jin Sun

102 papers receiving 1.5k citations

Peers

Jin Sun
Comparison fields: 5 of 84
  • Computer Networks and Communications 835
  • Hardware and Architecture 218
  • Information Systems 648
  • Media Technology 183
  • Computer Vision and Pattern Recognition 256
Replace Ding Yuan with:
Ding Yuan China
Yen-Kuang Chen United States
Pedro V. Sander United States
Zhenman Fang Canada
Liang Hu China
Yinlong Xu China
Chen Qian United States
Ee‐Chien Chang Singapore
Deepak S. Turaga United States
Jian Yin China
Jin Sun relative to Ding Yuan China Ding Yuan's profile →
Citations per field
00.5×1.5×
Ding Yuan · 1×
Citations per year

Countries citing papers authored by Jin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2018130
3 2019116
4 2019105
5 202078
6 201973
7 202072
8 202069
9 202161
10 202049
11 201745
12 202039
13 202327
14 200225
15 202025
16 201924
17 202022
18 201721
19 202120
20 202118

About Jin Sun

Jin Sun is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Media Technology and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.6k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (27 papers), Cloud Computing and Resource Management (21 papers), Remote-Sensing Image Classification (19 papers), Advanced Image Fusion Techniques (10 papers), Electromagnetic Scattering and Analysis (9 papers), Remote Sensing and Land Use (9 papers), Probabilistic and Robust Engineering Design (9 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (835 citations), Hardware and Architecture (218 citations), Information Systems (648 citations), Media Technology (183 citations) and Computer Vision and Pattern Recognition (256 citations). Jin Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Junlong Zhou, Shiyan Hu, Tongquan Wei, Xiumin Zhou, Zebin Wu, Yi Zhang, Zhihui Wei, Gongxuan Zhang, Xiaobo Sharon Hu and Yue Ma. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, Journal of Systems Architecture and Future Generation Computer Systems.

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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