Chun Shan

699 citations
50 papers · 484 · h-index 12

Impact in

Papers in

Chun Shan

42 papers receiving 470 citations

Peers

Chun Shan
Comparison fields: 5 of 90
  • Renewable Energy, Sustainability and the Environment 103
  • Computer Networks and Communications 117
  • Computer Vision and Pattern Recognition 76
  • Signal Processing 31
  • Artificial Intelligence 78
Replace Sainan Zhang with:
Sainan Zhang China
Junyu Lai China
Jiao Dai China
Chuang Song China
Xiaoming Peng Singapore
Haoxin Wang China
Shunyi Zhang China
Mohammad Arif Hossain United States
Chun Shan relative to Sainan Zhang China Sainan Zhang's profile →
Citations per field
00.5×4.5×
Sainan Zhang · 1×
Citations per year

Countries citing papers authored by Chun Shan

Since Specialization
Citations

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

Fields of papers citing papers by Chun Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 202244
3 202142
4 202234
5 202028
6 201327
7 202423
8 202319
9 202415
10 202212
11 202412
12 202311
13 201811
14 202110
15 20229
16 20248
17 20218
18 20227
19 20226
20 20245

About Chun Shan

Chun Shan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 50 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Digital Media Forensic Detection (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Image Fusion Techniques (4 papers), Biometric Identification and Security (4 papers), Image Enhancement Techniques (4 papers) and Advanced MIMO Systems Optimization (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (103 citations), Computer Networks and Communications (117 citations), Computer Vision and Pattern Recognition (76 citations), Signal Processing (31 citations) and Artificial Intelligence (78 citations). Chun Shan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mohsen Guizani, Mianjie Li, Xiaojiang Du, Zhihong Tian, Chun He, Qiong Zhang, Zhenjie Sun, Ya Xiong, Minhua Su and Dong Shu. Their work appears in journals such as Information Sciences, Scientific Reports, IEEE Wireless Communications Letters, IEEE Transactions on Green Communications and Networking and Photonics.

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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