Ruonan Li
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Cancer Research
- Co-authors
- Rama ChellappaRaghuraman GopalanVishal M. PatelTodd ZicklerJinlong LiS. Kevin ZhouPan WuZilin Huang
- Topics
- Traffic Prediction and Management Techniques (10 papers)Human Pose and Action Recognition (9 papers)Anomaly Detection Techniques and Applications (6 papers)
- Journals
- NeuronIEEE Transactions on Pattern Analysis and Machine IntelligenceEnvironmental Pollution
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ruonan Li
47 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 140
- Biomedical Engineering 140
- Cancer Research 126
Countries citing papers authored by Ruonan Li
This map shows the geographic impact of Ruonan 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 Ruonan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruonan Li more than expected).
Fields of papers citing papers by Ruonan Li
This network shows the impact of papers produced by Ruonan 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 Ruonan Li. The network helps show where Ruonan Li may publish in the future.
Co-authorship network of co-authors of Ruonan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Ruonan Li. A scholar is included among the top collaborators of Ruonan Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruonan Li. Ruonan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 23 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 44 | |
| 18 | 21 | |
| 19 | 15 | |
| 20 | 10 |
About Ruonan Li
Ruonan Li is a scholar working on Building and Construction, Computer Vision and Pattern Recognition and Transportation, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (10 papers), Human Pose and Action Recognition (9 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.2k citations) and Media Technology (125 citations). Ruonan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rama Chellappa, Raghuraman Gopalan, Vishal M. Patel, Todd Zickler, Jinlong Li, S. Kevin Zhou, Pan Wu, Zilin Huang, Yang Qin and Jili Zhang. Their work appears in journals such as Neuron, IEEE Transactions on Pattern Analysis and Machine Intelligence and Environmental Pollution.
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.