Ran Shi

1.3k citations
79 papers · 966 · 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

72 papers receiving 939 citations

Peers

Ran Shi
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 499
  • Sensory Systems 72
  • Media Technology 120
  • Human-Computer Interaction 34
  • Industrial and Manufacturing Engineering 49
Replace Chanho Jung with:
Chanho Jung South Korea
Weihua Xiong China
Akshaya Mishra Canada
Imari Sato Japan
Chun Qi China
Yongkang Luo China
Hui Xu China
Hongbo Bi China
Robert L. Ewing United States
Lin Zheng China
Ran Shi relative to Chanho Jung South Korea Chanho Jung's profile →
Citations per field
00.5×3.4×
Chanho Jung · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012111
2 201449
3 201848
4 201944
5 201942
6 202141
7 202340
8 202138
9 202237
10 201735
11 201634
12 201229
13 201527
14 201823
15 201818
16 202318
17 201816
18 201516
19 202014
20 201314

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 79 papers that have together received 966 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (25 papers), Image and Video Quality Assessment (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Photonic Communication Systems (8 papers), Optical Network Technologies (8 papers), Advanced Neural Network Applications (7 papers), High voltage insulation and dielectric phenomena (7 papers) and Advanced Image Fusion Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (499 citations), Sensory Systems (72 citations), Media Technology (120 citations), Human-Computer Interaction (34 citations) and Industrial and Manufacturing Engineering (49 citations). Ran Shi has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include King Ngi Ngan, Zhi Liu, Xiaofei Zhou, Songnan Li, Jiyong Zhang, Liquan Shen, Zhaoyang Zhang, Lei Gao, Dongliang Gao and Tong Qiao. Their work appears in journals such as Journal of Materials Science Materials in Electronics, IEEE Transactions on Multimedia, IEEE Access, Image and Vision Computing and IEEE Transactions on Circuits and Systems for Video Technology.

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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