Bin Fang

4.9k citations
168 papers · 3.1k indexed · 1 hit paper · h-index 33
Topics
Robot Manipulation and Learning (44 papers)Tactile and Sensory Interactions (44 papers)Advanced Sensor and Energy Harvesting Materials (33 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaAdvanced Functional Materials

In The Last Decade

Bin Fang

155 papers receiving 3.0k citations

Hit Papers

Touchless interactive teaching of soft robots through fle...2022202620232024202250100150

Peers

Bin Fang
Comparison fields: 5 of 132
  • Biomedical Engineering 1.5k
  • Control and Systems Engineering 1.1k
  • Cognitive Neuroscience 787
  • Mechanical Engineering 553
  • Computer Vision and Pattern Recognition 533
Replace Tsukasa Ogasawara with:
Tsukasa Ogasawara Japan
Hong Liu China
Zhaojie Ju United Kingdom
Shigeki Sugano Japan
Timothy Bretl United States
Abderrahmane Kheddar France
Wen Qi China
Andrea Cherubini France
Jianyi Kong China
Du Jiang China
Bin Fang relative to Tsukasa Ogasawara Japan Tsukasa Ogasawara's profile →
Citations per field
00.5×10.1×
Tsukasa Ogasawara · 1×
Citations per year

Countries citing papers authored by Bin Fang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Fang. A scholar is included among the top collaborators of Bin Fang 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 Bin Fang. Bin Fang 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
#WorkIndexed citations
1 9
2 0
3 0
4 7
5 1
6 5
7 2
8 2
9 32
10 10
11 10
12 5
13 13
14 7
15 26
16 66
17 38
18
Touchless interactive teaching of soft robots through flexible bimodal sensory interfacesbreakdown →
190
19 94
20 4

About Bin Fang

Bin Fang is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Control and Systems Engineering, having authored 168 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (44 papers), Tactile and Sensory Interactions (44 papers) and Advanced Sensor and Energy Harvesting Materials (33 papers). The work is most often cited by research in Human-Computer Interaction (458 citations), Control and Systems Engineering (1.1k citations) and Cognitive Neuroscience (787 citations). Bin Fang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fuchun Sun, Huaping Liu, Di Guo, Shixin Zhang, Jianhua Shan, Yiyong Yang, Haiming Huang, Li Wen, Tao Kong and Ning Xi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

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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