Junru Li
Impact in
- Signal Processing top 5%
- Video Coding and Compression Technologies
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in
-
- Advanced Data Compression Techniques 20
- Advanced Vision and Imaging 16
- Advanced Image Processing Techniques 14
- Image and Video Quality Assessment 9
- Image and Signal Denoising Methods 7
-
- Video Coding and Compression Technologies 26
- Co-authors
- Liping Wang (4 shared papers)Meng Wang (23 shared papers)Shiqi Wang (20 shared papers)Siwei Ma (16 shared papers)Li Zhang (18 shared papers)Shenghao Li (2 shared papers)Mariano Sigman (2 shared papers)Peifeng Liu (3 shared papers)
- Journals
- IEEE Transactions on Image Processing (3 papers)Scientific Reports (2 papers)Journal of Neuroscience (2 papers)Frontiers in Endocrinology (2 papers)Advanced Materials (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junru Li
55 papers receiving 752 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Signal Processing 132
- Cognitive Neuroscience 171
- Computer Vision and Pattern Recognition 162
- Human-Computer Interaction 35
- Aquatic Science 33
Countries citing papers authored by Junru Li
This map shows the geographic impact of Junru 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 Junru Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Li more than expected).
Fields of papers citing papers by Junru Li
This network shows the impact of papers produced by Junru 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 Junru Li. The network helps show where Junru Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 99 | |
| 2 | 2019 | 77 | |
| 3 | A DNA/Upconversion Nanoparticle Complex Enables Controlled Co‐Delivery of CRISPR‐Cas9 and Photodynamic Agents for Synergistic Cancer Therapy Hit paper breakdown → | 2024 | 69 |
| 4 | 2023 | 62 | |
| 5 | 2017 | 40 | |
| 6 | 2014 | 32 | |
| 7 | 2017 | 32 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 25 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2024 | 18 | |
| 15 | 2020 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2019 | 10 |
About Junru Li
Junru Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Immunology and Nephrology, having authored 62 papers that have together received 766 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (26 papers), Advanced Data Compression Techniques (20 papers), Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (14 papers), Image and Video Quality Assessment (9 papers), Image and Signal Denoising Methods (7 papers), Immune cells in cancer (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Signal Processing (132 citations), Cognitive Neuroscience (171 citations), Computer Vision and Pattern Recognition (162 citations), Human-Computer Interaction (35 citations) and Aquatic Science (33 citations). Junru Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liping Wang, Meng Wang, Shiqi Wang, Siwei Ma, Li Zhang, Shenghao Li, Mariano Sigman, Peifeng Liu, Fengqin Li and Stanislas Dehaene. Their work appears in journals such as IEEE Transactions on Image Processing, Scientific Reports, Journal of Neuroscience, Frontiers in Endocrinology and Advanced Materials.
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.