Li He
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Media Technology top 2%
- Image Processing Techniques and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 11
- Multimodal Machine Learning Applications 9
- Image Enhancement Techniques 9
- Advanced Vision and Imaging 6
- Image Retrieval and Classification Techniques 6
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Co-authors
- Xing Xu (14 shared papers)Huimin Lu (9 shared papers)Hairong Qi (5 shared papers)Russell Zaretzki (3 shared papers)Seiichi Serikawa (5 shared papers)Yujie Li (5 shared papers)Yanli Ji (1 shared paper)Lianli Gao (1 shared paper)
- Journals
- Applied Sciences (5 papers)Neurocomputing (2 papers)IEEE Access (2 papers)ETRI Journal (1 paper)IEEE Transactions on Smart Grid (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li He
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 710
- Media Technology 190
- Artificial Intelligence 281
- Computer Science Applications 35
- Marketing 52
Countries citing papers authored by Li He
This map shows the geographic impact of Li He'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 Li He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li He more than expected).
Fields of papers citing papers by Li He
This network shows the impact of papers produced by Li He. 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 Li He. The network helps show where Li He may publish in the future.
Co-authors
The 25 scholars most cited alongside Li He, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 155 | |
| 2 | 2016 | 151 | |
| 3 | 2013 | 127 | |
| 4 | 2017 | 79 | |
| 5 | 2019 | 74 | |
| 6 | 2017 | 56 | |
| 7 | 2013 | 55 | |
| 8 | 2014 | 55 | |
| 9 | 2012 | 41 | |
| 10 | 2014 | 37 | |
| 11 | 2016 | 37 | |
| 12 | 2016 | 32 | |
| 13 | 2017 | 30 | |
| 14 | 2015 | 26 | |
| 15 | 2020 | 26 | |
| 16 | 2015 | 24 | |
| 17 | 2016 | 23 | |
| 18 | 2016 | 17 | |
| 19 | 2018 | 14 | |
| 20 | 2023 | 11 |
About Li He
Li He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Media Technology and Signal Processing, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Multimodal Machine Learning Applications (9 papers), Image Enhancement Techniques (9 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Advanced Vision and Imaging (6 papers), Image Retrieval and Classification Techniques (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (710 citations), Media Technology (190 citations), Artificial Intelligence (281 citations), Computer Science Applications (35 citations) and Marketing (52 citations). Li He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xing Xu, Huimin Lu, Hairong Qi, Russell Zaretzki, Seiichi Serikawa, Yujie Li, Yanli Ji, Lianli Gao, Huan Chen and Yang Feng. Their work appears in journals such as Applied Sciences, Neurocomputing, IEEE Access, ETRI Journal and IEEE Transactions on Smart Grid.
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.