Ran Shi

1.2k citations
75 papers · 906 · h-index 17

Impact in

    • Visual Attention and Saliency Detection
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Image and Video Quality Assessment
    • Digital Media Forensic Detection
    • Olfactory and Sensory Function Studies

Papers in

Ran Shi

68 papers receiving 875 citations

Peers

Ran Shi
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 466
  • Sensory Systems 70
  • Media Technology 119
  • Human-Computer Interaction 34
  • Industrial and Manufacturing Engineering 47
Replace Weihua Xiong with:
Weihua Xiong China
Chanho Jung South Korea
Akshaya Mishra Canada
Imari Sato Japan
Yongkang Luo China
Chun Qi China
Hui Xu China
Robert L. Ewing United States
Lin Zheng China
Renjie Chen China
Ran Shi relative to Weihua Xiong China Weihua Xiong's profile →
Citations per field
00.5×3.3×
Weihua Xiong · 1×
Citations per year

Countries citing papers authored by Ran Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ran Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201848
3 201445
4 201942
5 201941
6 202139
7 202237
8 202336
9 201734
10 202134
11 201633
12 201227
13 201823
14 201523
15 201818
16 201516
17 201816
18 202315
19 201914
20 201114

About Ran Shi

Ran Shi is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry and Media Technology, having authored 75 papers that have together received 906 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (24 papers), Advanced Image and Video Retrieval Techniques (13 papers), Image and Video Quality Assessment (11 papers), Optical Network Technologies (8 papers), Advanced Photonic Communication Systems (8 papers), High voltage insulation and dielectric phenomena (7 papers), Advanced Neural Network Applications (7 papers) and Advanced Image Fusion Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (466 citations), Sensory Systems (70 citations), Media Technology (119 citations), Human-Computer Interaction (34 citations) and Industrial and Manufacturing Engineering (47 citations). Ran Shi has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Zhi Liu, King Ngi Ngan, Xiaofei Zhou, Jiyong Zhang, Songnan Li, Liquan Shen, Lei Gao, Zhaoyang Zhang, Dongliang Gao and Tong Qiao. Their work appears in journals such as IEEE Access, IEEE Transactions on Multimedia, Journal of Materials Science Materials in Electronics, Image and Vision Computing and Signal Processing Image Communication.

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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