Mi Li
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
-
- Gaze Tracking and Assistive Technology 6
-
- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Face and Expression Recognition 3
- Human Pose and Action Recognition 3
- Co-authors
- Zhenzhong ChenLiyuan ChaiXiande XieXiaopei WuRui LiuZhao LvBing PengHuan Yan
In The Last Decade
Mi Li
49 papers receiving 980 citations
Peers
Comparison fields: 5 of 119
- Human-Computer Interaction 104
- Media Technology 164
- Computer Vision and Pattern Recognition 256
- Water Science and Technology 139
- Environmental Chemistry 71
Countries citing papers authored by Mi Li
This map shows the geographic impact of Mi 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 Mi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Li more than expected).
Fields of papers citing papers by Mi Li
This network shows the impact of papers produced by Mi 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 Mi Li. The network helps show where Mi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 33 | |
| 11 | 2019 | 6 | |
| 12 | 2016 | 15 | |
| 13 | On WeChat Marketing Strategy of Businesses Based on SWOT Analysis | 2015 | 0 |
| 14 | Effect of OWOM on Female Consumers' Purchase Intention of Apparel Online Shopping | 2015 | 1 |
| 15 | Overview of Preprocessing Technologies for Massive Traffic Data in Cloud Center and Application Examples | 2015 | 0 |
| 16 | 2015 | 22 | |
| 17 | Current situation and exercise prescription intervention of Internet addiction among middle school students | 2014 | 1 |
| 18 | 2014 | 2 | |
| 19 | 2013 | 64 | |
| 20 | Speech feature enhancement based on frequency-domain ICA | 2011 | 1 |
About Mi Li
Mi Li is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Ocean Engineering, Media Technology and Experimental and Cognitive Psychology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (6 papers), Multimodal Machine Learning Applications (4 papers), Metal Extraction and Bioleaching (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Energy, Environment, Economic Growth (3 papers), Face and Expression Recognition (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Human-Computer Interaction (104 citations), Media Technology (164 citations), Computer Vision and Pattern Recognition (256 citations), Water Science and Technology (139 citations) and Environmental Chemistry (71 citations). Mi Li has collaborated with scholars based in China, Kuwait and Japan. Frequent co-authors include Zhenzhong Chen, Liyuan Chai, Xiande Xie, Xiaopei Wu, Rui Liu, Zhao Lv, Bing Peng, Huan Yan, Ning Peng and Yong Ke. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Forests, Transactions of Nonferrous Metals Society of China, Minerals Engineering and Optics Express.
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.