Daming Shi

950 citations
41 papers · 634 · h-index 14

Impact in

    • Face and Expression Recognition
    • Face recognition and analysis
    • Image Retrieval and Classification Techniques
    • Handwritten Text Recognition Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Processing and 3D Reconstruction

Papers in

    • Face and Expression Recognition 13
    • Handwritten Text Recognition Techniques 7
    • Image Retrieval and Classification Techniques 7
    • Medical Image Segmentation Techniques 5
    • Image Processing and 3D Reconstruction 5
    • Face recognition and analysis 4
    • Neural Networks and Applications 6

Daming Shi

40 papers receiving 615 citations

Peers

Daming Shi
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 356
  • Signal Processing 72
  • Artificial Intelligence 178
  • Computational Mathematics 3
  • Media Technology 44
Replace Lin Xiong with:
Lin Xiong China
Zhenhua Feng China
Xiangzhong Fang China
Anas Bilal China
Minsu Cho South Korea
Yuting Wang China
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Daming Shi relative to Lin Xiong China Lin Xiong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Daming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 201989
3 200549
4 201648
5 200346
6 200633
7 201726
8 201617
9 201517
10 201916
11 200715
12 202015
13 201415
14 200214
15 201812
16 200710
17 20169
18 20179
19 20158
20 20157

About Daming Shi

Daming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing and Management Science and Operations Research, having authored 41 papers that have together received 634 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Handwritten Text Recognition Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Neural Networks and Applications (6 papers), Medical Image Segmentation Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (356 citations), Signal Processing (72 citations), Artificial Intelligence (178 citations), Computational Mathematics (3 citations) and Media Technology (44 citations). Daming Shi has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Junbin Gao, Paul Kwan, Meilu Zhu, R.I. Damper, S.R. Gunn, Muhammad Sadiq, Wing W. Y. Ng, Chai Quek, Minh Nhut Nguyen and Jun Wang. Their work appears in journals such as Neural Networks, Neurocomputing, Multimedia Tools and Applications, Soft Computing and Expert Systems with 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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