Fufeng Li

85 papers receiving 696 citations

Peers

Fufeng Li
Comparison fields: 5 of 103
  • Complementary and alternative medicine 363
  • Computer Vision and Pattern Recognition 137
  • Cancer Research 63
  • Signal Processing 48
  • Cardiology and Cardiovascular Medicine 59
Replace Naimin Li with:
Naimin Li China
Tayo Obafemi-Ajayi United States
Jun-Su Jang South Korea
T. T. Trang Vietnam
Peng Xiong China
Mahmudul Hasan Bangladesh
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Michael Adams Germany
Boyang Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Fufeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Fufeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fufeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fufeng Li Line = papers co-authored together Fufeng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 201338
3 201136
4 200836
5
Computer Science Education (ICCSE), 2012 7th International Conference on
201233
6 202233
7 201427
8 200925
9 201421
10 201920
11 202016
12 200915
13 200815
14 202113
15 201713
16 200812
17 201012
18 201511
19 200811
20 202310

About Fufeng Li

Fufeng Li is a scholar working on Complementary and alternative medicine, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 88 papers that have together received 709 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (47 papers), Non-Invasive Vital Sign Monitoring (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Phonocardiography and Auscultation Techniques (6 papers), Cancer-related molecular mechanisms research (6 papers), Face and Expression Recognition (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Complementary and alternative medicine (363 citations), Computer Vision and Pattern Recognition (137 citations), Cancer Research (63 citations), Signal Processing (48 citations) and Cardiology and Cardiovascular Medicine (59 citations). Fufeng Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Guozheng Li, Yiqin Wang, Miaojing Shi, Jianjun Yan, Chunming Xia, Peng Qian, Haixia Yan, Rui Guo, Yiqin Wang and Wenqiang Zhang. Their work appears in journals such as BMC Complementary and Alternative Medicine, Computers in Biology and Medicine, IEEE Access, Chinese Journal of Integrative Medicine and Evidence-based Complementary and Alternative Medicine.

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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