Junyan Li
Impact in
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- Catalysis and Oxidation Reactions
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- Advanced Neural Network Applications
Papers in
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- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
- Image Enhancement Techniques 1
- Medical Image Segmentation Techniques 1
- Co-authors
- Chuang Gan (3 shared papers)Han Cai (1 shared paper)Song Han (1 shared paper)Xin Liu (1 shared paper)Hao Li (1 shared paper)Zhongxian Song (1 shared paper)Qiulin Zhang (1 shared paper)Zhenzhen Huang (1 shared paper)
- Journals
- Chemical Physics Letters (1 paper)Applied Sciences (1 paper)Nano Research (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Journal of Rare Earths (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junyan Li
12 papers receiving 215 citations
Junyan Li's Hit Papers
Peers
Comparison fields: 5 of 69
- Catalysis 29
- Computer Vision and Pattern Recognition 60
- Media Technology 25
- Analytical Chemistry 19
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Junyan Li
This map shows the geographic impact of Junyan 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 Junyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyan Li more than expected).
Fields of papers citing papers by Junyan Li
This network shows the impact of papers produced by Junyan 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 Junyan Li. The network helps show where Junyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyan 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 | EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction Hit paper breakdown → | 2023 | 117 |
| 2 | 2015 | 45 | |
| 3 | 2021 | 19 | |
| 4 | 2024 | 9 | |
| 5 | 2019 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2013 | 3 | |
| 12 | 2024 | 2 | |
| 13 | Hybrid Location-based Personalized News Recommendation | 2016 | 0 |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Junyan Li
Junyan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Organic Chemistry, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 218 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (2 papers), Surfactants and Colloidal Systems (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers), Digital Media and Visual Art (1 paper), Image Enhancement Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Catalysis (29 citations), Computer Vision and Pattern Recognition (60 citations), Media Technology (25 citations), Analytical Chemistry (19 citations) and Industrial and Manufacturing Engineering (14 citations). Junyan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuang Gan, Han Cai, Song Han, Xin Liu, Hao Li, Zhongxian Song, Qiulin Zhang, Zhenzhen Huang, Ping Ning and Simeng Gao. Their work appears in journals such as Chemical Physics Letters, Applied Sciences, Nano Research, Colloids and Surfaces A Physicochemical and Engineering Aspects and Journal of Rare Earths.
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.