Shan Luo

155 total papers · 2.7k total citations
71 papers, 1.5k citations indexed

About

Shan Luo is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Shan Luo has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 33 papers in Cognitive Neuroscience and 23 papers in Control and Systems Engineering. Recurrent topics in Shan Luo's work include Tactile and Sensory Interactions (33 papers), Advanced Sensor and Energy Harvesting Materials (26 papers) and Robot Manipulation and Learning (20 papers). Shan Luo is often cited by papers focused on Tactile and Sensory Interactions (33 papers), Advanced Sensor and Energy Harvesting Materials (26 papers) and Robot Manipulation and Learning (20 papers). Shan Luo collaborates with scholars based in United Kingdom, China and United States. Shan Luo's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Shan Luo

59 papers receiving 1.5k citations

Hit Papers

Robotic tactile perceptio... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shan Luo 749 737 423 252 244 71 1.5k
Juan Antonio Corrales Ramón 478 0.6× 940 1.3× 801 1.9× 237 0.9× 281 1.2× 58 1.6k
Robert Haschke 588 0.8× 822 1.1× 962 2.3× 407 1.6× 226 0.9× 97 1.7k
Gongfa Li 388 0.5× 656 0.9× 230 0.5× 318 1.3× 155 0.6× 47 1.3k
Monica Reggiani 519 0.7× 1.5k 2.1× 210 0.5× 212 0.8× 172 0.7× 71 2.1k
Feng Duan 798 1.1× 463 0.6× 280 0.7× 272 1.1× 110 0.5× 175 1.9k
Di Guo 308 0.4× 527 0.7× 644 1.5× 392 1.6× 193 0.8× 73 1.4k
Fulvio Mastrogiovanni 360 0.5× 536 0.7× 496 1.2× 449 1.8× 214 0.9× 145 1.6k
Minas Liarokapis 473 0.6× 1.3k 1.8× 875 2.1× 212 0.8× 401 1.6× 143 1.9k
Giorgio Cannata 875 1.2× 1.4k 1.9× 765 1.8× 190 0.8× 405 1.7× 123 2.1k
Ashish Dutta 329 0.4× 677 0.9× 368 0.9× 260 1.0× 137 0.6× 131 1.3k

Countries citing papers authored by Shan Luo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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