Yi Sheng

845 citations
40 papers · 511 · h-index 10

Impact in

    • Advanced Image Fusion Techniques
    • Image and Signal Denoising Methods
    • Medical Image Segmentation Techniques
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques

Papers in

Yi Sheng

34 papers receiving 490 citations

Peers

Yi Sheng
Comparison fields: 5 of 91
  • Media Technology 116
  • Computer Vision and Pattern Recognition 252
  • Acoustics and Ultrasonics 8
  • Automotive Engineering 33
  • Control and Systems Engineering 63
Replace Jong‐Il Park with:
Jong‐Il Park South Korea
Zhipeng Chen China
Degui Yang China
Alexandru Isar Romania
Yuriy V. Shkvarko Mexico
Clovis Francis Lebanon
Cheng‐Hsiung Hsieh Taiwan
Christian Gout France
Liang Xu China
A. V. Narasimhadhan India
Yi Sheng relative to Jong‐Il Park South Korea Jong‐Il Park's profile →
Citations per field
00.5×3.5×
Jong‐Il Park · 1×
Citations per year

Countries citing papers authored by Yi Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009227
2 202039
3 202134
4 201832
5 202131
6 201924
7 200816
8 202213
9 202111
10 20219
11 20248
12 20218
13 20208
14 20247
15 20127
16 20244
17 20234
18 20224
19 20253
20 20243

About Yi Sheng

Yi Sheng is a scholar working on Computer Vision and Pattern Recognition, Oncology, Artificial Intelligence, Media Technology and Biomedical Engineering, having authored 40 papers that have together received 511 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Advanced Neural Network Applications (5 papers), Advanced Image Fusion Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Machine Fault Diagnosis Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (116 citations), Computer Vision and Pattern Recognition (252 citations), Acoustics and Ultrasonics (8 citations), Automotive Engineering (33 citations) and Control and Systems Engineering (63 citations). Yi Sheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hamid Krim, Glenn R. Easley, Demetrio Labate, Zhiqiang Liao, Haihong Tang, Peng Chen, Dunwen Zuo, Huimin Ma, Xi Li and Libing Jiang. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition, Medicine & Science in Sports & Exercise, Journal of Orthopaedic Surgery and Research and BMC Pulmonary Medicine.

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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