Yinfeng Fang

1.5k citations
54 papers · 984 indexed · h-index 16
Topics
Muscle activation and electromyography studies (36 papers)EEG and Brain-Computer Interfaces (27 papers)Neuroscience and Neural Engineering (14 papers)
Partner nations
ChinaUnited KingdomJapan

In The Last Decade

Yinfeng Fang

49 papers receiving 961 citations

Peers

Yinfeng Fang
Comparison fields: 5 of 84
  • Biomedical Engineering 722
  • Cognitive Neuroscience 515
  • Human-Computer Interaction 264
  • Cellular and Molecular Neuroscience 243
  • Computer Vision and Pattern Recognition 109
Replace Ulysse Côté‐Allard with:
Ulysse Côté‐Allard Norway
Matteo Cognolato Switzerland
Cheikh Latyr Fall Canada
Muddassar Hussain Pakistan
Zhichuan Tang China
Wentao Wei China
Inhyuk Moon South Korea
Dalin Zhou United Kingdom
Jiayuan He China
Yinfeng Fang relative to Ulysse Côté‐Allard Norway Ulysse Côté‐Allard's profile →
Citations per field
00.5×7.8×
Ulysse Côté‐Allard · 1×
Citations per year

Countries citing papers authored by Yinfeng Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yinfeng Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinfeng Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinfeng Fang. A scholar is included among the top collaborators of Yinfeng 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 Yinfeng Fang. Yinfeng 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 0
2 1
3 0
4 0
5 0
6 4
7 9
8 10
9 9
10 11
11 12
12 41
13 4
14 32
15 39
16 1
17 58
18 7
19 52
20 10

About Yinfeng Fang

Yinfeng Fang is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Fuel Technology, having authored 54 papers that have together received 984 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (36 papers), EEG and Brain-Computer Interfaces (27 papers) and Neuroscience and Neural Engineering (14 papers). The work is most often cited by research in Human-Computer Interaction (264 citations), Cognitive Neuroscience (515 citations) and Biomedical Engineering (722 citations). Yinfeng Fang has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Honghai Liu, Dalin Zhou, Kairu Li, Zhaojie Ju, Gongfa Li, Yu Zhou, Xiangyang Zhu, Xuguang Zhang, Guozhang Jiang and Gongfa Li. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Biomedical Engineering and Sensors.

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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