Fan Shi

631 total citations
28 papers, 423 citations indexed

About

Fan Shi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Fan Shi has authored 28 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Aerospace Engineering. Recurrent topics in Fan Shi's work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Locomotion and Control (8 papers). Fan Shi is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Locomotion and Control (8 papers). Fan Shi collaborates with scholars based in Japan, Switzerland and China. Fan Shi's co-authors include Masayuki Inaba, Kei Okada, Moju Zhao, Tomoki Anzai, Xiangyu Chen, Masaki Murooka, Xiangyu Chen, Koji Kawasaki, Shunichi Nozawa and Shintaro Noda and has published in prestigious journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.

In The Last Decade

Fan Shi

24 papers receiving 415 citations

Peers

Fan Shi
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 225
  • Control and Systems Engineering 212
  • Aerospace Engineering 204
  • Biomedical Engineering 145
  • Computer Networks and Communications 83
Replace Tomoki Anzai with:
Tomoki Anzai Japan
Davide Bicego France
Daman Bareiss United States
Giuseppe Muscio Italy
Salua Hamaza Netherlands
Takateru Urakubo Japan
Dario Brescianini Switzerland
Quentin Sablé Netherlands
Hyunsoo Yang South Korea
Victor M. Vega Spain
Tomoki Anzai Japan View profile →
Citations per field, relative to Fan Shi
Fan Shi · 1×
Citations per year, relative to Fan Shi
Fan Shi · 1×

Countries citing papers authored by Fan Shi

Since Specialization
Citations

This map shows the geographic impact of Fan Shi'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 Fan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Shi more than expected).

Fields of papers citing papers by Fan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan Shi. 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 Fan Shi. The network helps show where Fan Shi may publish in the future.

Co-authorship network of co-authors of Fan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Shi. A scholar is included among the top collaborators of Fan Shi 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 Fan Shi. Fan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 7
6 12
7 2
8 2
9 2
10 9
11 0
12 8
13 26
14 20
15 13
16 23
17 9
18 25
19 135
20 1

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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