Shan Luo
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Co-authors
- Hongbin LiuJoão BimboRavinder DahiyaDaniel Fernandes GomesKaspar AlthoeferRaúl FuentesAnthony G. CohnZhonglin Lin
- Topics
- Tactile and Sensory Interactions (33 papers)Advanced Sensor and Energy Harvesting Materials (26 papers)Robot Manipulation and Learning (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Shan Luo
59 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 752
- Biomedical Engineering 748
- Control and Systems Engineering 427
- Computer Vision and Pattern Recognition 259
- Mechanical Engineering 246
Countries citing papers authored by Shan Luo
This map shows the geographic impact of Shan Luo'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 Shan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Luo more than expected).
Fields of papers citing papers by Shan Luo
This network shows the impact of papers produced by Shan Luo. 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 Shan Luo. The network helps show where Shan Luo may publish in the future.
Co-authorship network of co-authors of Shan Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Shan Luo. A scholar is included among the top collaborators of Shan Luo 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 Shan Luo. Shan Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 30 | |
| 16 | 13 | |
| 17 | 32 | |
| 18 | 13 | |
| 19 | 35 | |
| 20 | Neural Logic Reinforcement Learning | 4 |
About Shan Luo
Shan Luo is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Control and Systems Engineering, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (33 papers), Advanced Sensor and Energy Harvesting Materials (26 papers) and Robot Manipulation and Learning (20 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Cognitive Neuroscience (752 citations) and Control and Systems Engineering (427 citations). Shan Luo has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Hongbin Liu, João Bimbo, Ravinder Dahiya, Daniel Fernandes Gomes, Kaspar Althoefer, Raúl Fuentes, Anthony G. Cohn, Zhonglin Lin, Wenxuan Mou and Paolo Paoletti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.