Yanting Li
Impact in
- Artificial Intelligence top 2%
- Solar Radiation and Photovoltaics
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
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- Photovoltaic System Optimization Techniques
Papers in
-
- Machine Learning and ELM 9
- Imbalanced Data Classification Techniques 9
- Topic Modeling 5
- Anomaly Detection Techniques and Applications 4
- Advanced Text Analysis Techniques 4
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- Face and Expression Recognition 15
- Co-authors
- Lianjie Shu (3 shared papers)Yan Su (1 shared paper)Junwei Jin (22 shared papers)C. L. Philip Chen (19 shared papers)Jing Liang (6 shared papers)Liang Zhao (4 shared papers)Yang Xiao (3 shared papers)Fubao Zhu (7 shared papers)
- Journals
- Applied Soft Computing (3 papers)Information Sciences (2 papers)IEEE Access (2 papers)Medical Physics (1 paper)Electronics (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yanting Li
44 papers receiving 760 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 525
- Renewable Energy, Sustainability and the Environment 178
- Computer Vision and Pattern Recognition 219
- Statistics, Probability and Uncertainty 51
- Energy Engineering and Power Technology 19
Countries citing papers authored by Yanting Li
This map shows the geographic impact of Yanting Li'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 Yanting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Li more than expected).
Fields of papers citing papers by Yanting Li
This network shows the impact of papers produced by Yanting Li. 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 Yanting Li. The network helps show where Yanting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanting Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 284 | |
| 2 | 2021 | 57 | |
| 3 | 2022 | 43 | |
| 4 | 2023 | 40 | |
| 5 | 2023 | 37 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 24 | |
| 8 | 2014 | 23 | |
| 9 | 2024 | 20 | |
| 10 | 2011 | 18 | |
| 11 | 2024 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2021 | 8 |
About Yanting Li
Yanting Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty, having authored 51 papers that have together received 784 indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Machine Learning and ELM (9 papers), Imbalanced Data Classification Techniques (9 papers), Advanced Statistical Process Monitoring (5 papers), Topic Modeling (5 papers), Anomaly Detection Techniques and Applications (4 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (525 citations), Renewable Energy, Sustainability and the Environment (178 citations), Computer Vision and Pattern Recognition (219 citations), Statistics, Probability and Uncertainty (51 citations) and Energy Engineering and Power Technology (19 citations). Yanting Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Lianjie Shu, Yan Su, Junwei Jin, C. L. Philip Chen, Jing Liang, Liang Zhao, Yang Xiao, Fubao Zhu, Fugee Tsung and Dengxiu Yu. Their work appears in journals such as Applied Soft Computing, Information Sciences, IEEE Access, Medical Physics and Electronics.
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.