Shen Li-ming
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and ELM
Papers in
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- Data Visualization and Analytics 5
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- Data Management and Algorithms 3
- Co-authors
- Huaizhong Li (1 shared paper)Zhe Yu (1 shared paper)Dayou Liu (1 shared paper)Huiling Chen (1 shared paper)Bo Yang (1 shared paper)Xueyi Chen (5 shared papers)Richen Liu (5 shared papers)Genlin Ji (3 shared papers)
In The Last Decade
Shen Li-ming
8 papers receiving 484 citations
Shen Li-ming's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Information Management 49
- Artificial Intelligence 231
- Computer Graphics and Computer-Aided Design 15
- Computer Vision and Pattern Recognition 78
- Computational Mathematics 2
Countries citing papers authored by Shen Li-ming
This map shows the geographic impact of Shen Li-ming'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 Shen Li-ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Li-ming more than expected).
Fields of papers citing papers by Shen Li-ming
This network shows the impact of papers produced by Shen Li-ming. 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 Shen Li-ming. The network helps show where Shen Li-ming may publish in the future.
Co-authors
The 16 scholars most cited alongside Shen Li-ming, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Evolving support vector machines using fruit fly optimization for medical data classification Hit paper breakdown → | 2016 | 449 |
| 2 | 2020 | 16 | |
| 3 | 2019 | 9 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2018 | 1 |
About Shen Li-ming
Shen Li-ming is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Social Psychology and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 493 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Data Management and Algorithms (3 papers), Computer Graphics and Visualization Techniques (2 papers), Data Analysis with R (2 papers), Color perception and design (2 papers), Imbalanced Data Classification Techniques (1 paper), Web Applications and Data Management (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Health Information Management (49 citations), Artificial Intelligence (231 citations), Computer Graphics and Computer-Aided Design (15 citations), Computer Vision and Pattern Recognition (78 citations) and Computational Mathematics (2 citations). Shen Li-ming has collaborated with scholars based in China and Germany. Frequent co-authors include Huaizhong Li, Zhe Yu, Dayou Liu, Huiling Chen, Bo Yang, Xueyi Chen, Richen Liu, Genlin Ji, Yu Zhu and Yimin Chen. Their work appears in journals such as Visual Informatics, Knowledge-Based Systems, IEEE Transactions on Big Data, Journal of Imaging Science and Technology and Archives of Computational Methods in Engineering.
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.