Junyu Li
Impact in
- Computational Mathematics top 5%
-
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Tensor decomposition and applications 6
-
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 4
- Co-authors
- Haoliang YuanShuming LiuGuancheng GuoYuan Yan TangZhou RenYipeng WuLoi Lei LaiHongmin Cai
- Journals
- IEEE Transactions on Emerging Topics in Computational Intelligence (3 papers)Information Sciences (2 papers)Journal of Water Resources Planning and Management (1 paper)IEEE Transactions on Cybernetics (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Junyu Li
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 18
- Computer Vision and Pattern Recognition 120
- Ocean Engineering 81
- Environmental Engineering 70
- Water Science and Technology 55
Countries citing papers authored by Junyu Li
This map shows the geographic impact of Junyu 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 Junyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Li more than expected).
Fields of papers citing papers by Junyu Li
This network shows the impact of papers produced by Junyu 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 Junyu Li. The network helps show where Junyu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 42 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 29 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 29 | |
| 18 | 2019 | 22 | |
| 19 | 2019 | 2 | |
| 20 | 2018 | 128 |
About Junyu Li
Junyu Li is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Hardware and Architecture, having authored 24 papers that have together received 323 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Tensor decomposition and applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Computational Physics and Python Applications (3 papers) and Water Systems and Optimization (2 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computer Vision and Pattern Recognition (120 citations), Ocean Engineering (81 citations), Environmental Engineering (70 citations) and Water Science and Technology (55 citations). Junyu Li has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Haoliang Yuan, Shuming Liu, Guancheng Guo, Yuan Yan Tang, Zhou Ren, Yipeng Wu, Loi Lei Lai, Hongmin Cai, Jiazhou Chen and Bin Zhang. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Journal of Water Resources Planning and Management, IEEE Transactions on Cybernetics and Frontiers in Bioengineering and Biotechnology.
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.