Sheng Bi

108 total papers · 721 total citations
64 papers, 482 citations indexed

About

Sheng Bi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Sheng Bi has authored 64 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Control and Systems Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Sheng Bi's work include Stroke Rehabilitation and Recovery (10 papers), Robotic Locomotion and Control (8 papers) and Robotic Path Planning Algorithms (7 papers). Sheng Bi is often cited by papers focused on Stroke Rehabilitation and Recovery (10 papers), Robotic Locomotion and Control (8 papers) and Robotic Path Planning Algorithms (7 papers). Sheng Bi collaborates with scholars based in China, Hong Kong and India. Sheng Bi's co-authors include Min Dong, Jinhui Zhu, Huaqing Min, Ronghua Luo, Jianzhong Zhou, Huajie Zhang, Yue Zhao, Lin Ma, Lixiang Song and Linhong Ji and has published in prestigious journals such as IEEE Access, Journal of Environmental Management and Sensors.

In The Last Decade

Sheng Bi

55 papers receiving 464 citations

Author Peers

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

Author Last Decade Papers Cites
Sheng Bi 110 95 91 86 72 64 482
Eileen Lee Ming Su 45 0.4× 114 1.2× 178 2.0× 127 1.5× 46 0.6× 85 501
Alexander Koenig 54 0.5× 83 0.9× 41 0.5× 69 0.8× 61 0.8× 32 433
Munna Khan 38 0.3× 25 0.3× 143 1.6× 17 0.2× 36 0.5× 64 441
Arif Reza Anwary 30 0.3× 117 1.2× 205 2.3× 17 0.2× 7 0.1× 22 435
Mohd Azraai Mohd Razman 41 0.4× 34 0.4× 91 1.0× 32 0.4× 16 0.2× 51 525
Long He 25 0.2× 27 0.3× 241 2.6× 134 1.6× 71 1.0× 25 515
Jens Jäkel 183 1.7× 99 1.0× 51 0.6× 9 0.1× 67 0.9× 40 544
José A. Padilla-Medina 30 0.3× 48 0.5× 82 0.9× 18 0.2× 77 1.1× 57 487
Chikamune Wada 42 0.4× 43 0.5× 239 2.6× 21 0.2× 41 0.6× 97 506
Nihat Yılmaz 150 1.4× 93 1.0× 107 1.2× 53 0.6× 37 0.5× 30 541

Countries citing papers authored by Sheng Bi

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Bi. A scholar is included among the top collaborators of Sheng Bi 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 Sheng Bi. Sheng Bi 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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