Sheng Ren

752 citations
32 papers · 521 · h-index 12

Impact in

    • Image Processing Techniques and Applications
    • Advanced Image Fusion Techniques
    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Image Enhancement Techniques
    • Advanced Neural Network Applications

Papers in

Sheng Ren

28 papers receiving 512 citations

Peers

Sheng Ren
Comparison fields: 5 of 86
  • Media Technology 148
  • Computer Vision and Pattern Recognition 303
  • Health Informatics 7
  • Artificial Intelligence 148
  • Acoustics and Ultrasonics 2
Replace Ravindra S. Hegadi with:
Ravindra S. Hegadi India
Enrique Domínguez Spain
Hanaa M. Hamza Egypt
Shengdong Zhang China
Zhiqiang He China
Jingbo Xie China
Fuyuan Hu China
Sami Gazzah Tunisia
Khalid Amin Egypt
Sheng Ren relative to Ravindra S. Hegadi India Ravindra S. Hegadi's profile →
Citations per field
00.5×6.2×
Ravindra S. Hegadi · 1×
Citations per year

Countries citing papers authored by Sheng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021132
2 202198
3 201945
4 202239
5 202328
6 201924
7 202217
8 202316
9 202015
10 202113
11 202013
12 202212
13 202310
14 202310
15 20219
16 20236
17 20206
18 20235
19 20225
20 20194

About Sheng Ren

Sheng Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 32 papers that have together received 521 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (13 papers), Advanced Vision and Imaging (11 papers), Image Processing Techniques and Applications (9 papers), Image and Signal Denoising Methods (6 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Media Technology (148 citations), Computer Vision and Pattern Recognition (303 citations), Health Informatics (7 citations), Artificial Intelligence (148 citations) and Acoustics and Ultrasonics (2 citations). Sheng Ren has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Kehua Guo, Bin Hu, Hui Fang, Xiangyuan Zhu, Min Hu, Liang Chen, Tao Chi, Deepak Kumar Jain, Tao Xu and Jian Zhang. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Multimedia, IEEE/ACM Transactions on Computational Biology and Bioinformatics and ACM Transactions on Multimedia Computing Communications and Applications.

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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