Fufeng Li

889 total citations
80 papers, 640 citations indexed

About

Fufeng Li is a scholar working on Complementary and alternative medicine, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Fufeng Li has authored 80 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Complementary and alternative medicine, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Fufeng Li's work include Traditional Chinese Medicine Studies (44 papers), Cancer-related molecular mechanisms research (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Fufeng Li is often cited by papers focused on Traditional Chinese Medicine Studies (44 papers), Cancer-related molecular mechanisms research (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Fufeng Li collaborates with scholars based in China, Australia and United States. Fufeng Li's co-authors include Guozheng Li, Yiqin Wang, Miaojing Shi, Jianjun Yan, Chunming Xia, Haixia Yan, Peng Qian, Rui Guo, Wenqiang Zhang and Yiqin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Fufeng Li

77 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fufeng Li China 14 340 120 89 78 76 80 640
Naimin Li China 13 240 0.7× 86 0.7× 38 0.4× 22 0.3× 303 4.0× 32 632
Peiliang Wu China 14 33 0.1× 31 0.3× 169 1.9× 58 0.7× 31 0.4× 35 690
Maojian Chen China 10 30 0.1× 59 0.5× 133 1.5× 46 0.6× 19 0.3× 24 406
Michael Adams Germany 11 29 0.1× 17 0.1× 77 0.9× 16 0.2× 66 0.9× 22 499
Ling Ma China 12 31 0.1× 19 0.2× 73 0.8× 40 0.5× 16 0.2× 33 587
Hanming Wu China 15 40 0.1× 79 0.7× 100 1.1× 8 0.1× 34 0.4× 42 653
Peng Xiong China 16 26 0.1× 75 0.6× 188 2.1× 8 0.1× 141 1.9× 47 908
Eugenio Vocaturo Italy 19 37 0.1× 154 1.3× 22 0.2× 12 0.2× 41 0.5× 71 735
Se-young Ahn South Korea 11 113 0.3× 8 0.1× 158 1.8× 27 0.3× 11 0.1× 62 463

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-authorship network of co-authors of Fufeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fufeng Li. A scholar is included among the top collaborators of Fufeng Li 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 Fufeng Li. Fufeng Li 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
1.
Wen, Song, Yanyan Li, Chenglin Xu, et al.. (2024). The Relationship Between Computerized Face and Tongue Image Segmentation and Metabolic Parameters in Patients with Type 2 Diabetes Based on Machine Learning. Diabetes Metabolic Syndrome and Obesity. Volume 17. 4049–4068. 2 indexed citations
2.
Liu, Huilin, Songze Li, Yifan Wang, et al.. (2024). ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection. Brain Sciences. 15(1). 30–30. 2 indexed citations
3.
Xu, Hong, Yue Feng, Zhuosheng Lin, et al.. (2024). MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation. Computers in Biology and Medicine. 170. 108010–108010. 5 indexed citations
4.
Xu, Hua, Xiaofei Chen, Peng Qian, & Fufeng Li. (2023). A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images. Health Information Science and Systems. 11(1). 19–19. 9 indexed citations
5.
Li, Shengke, Yue Feng, Hong Xu, et al.. (2023). CAENet: Contrast adaptively enhanced network for medical image segmentation based on a differentiable pooling function. Computers in Biology and Medicine. 167. 107578–107578. 2 indexed citations
6.
Liu, Huilin, Yue Feng, Hong Xu, et al.. (2022). MEA-Net: multilayer edge attention network for medical image segmentation. Scientific Reports. 12(1). 7868–7868. 29 indexed citations
7.
Luo, Qi, Yan Chen, Yu Liu, et al.. (2021). A Genome-Wide Scan on Individual Typology Angle Found Variants at SLC24A2 Associated with Skin Color Variation in Chinese Populations. Journal of Investigative Dermatology. 142(4). 1223–1227.e14. 10 indexed citations
8.
Xu, Ying, Zhengtao Wang, & Fufeng Li. (2020). Survival prediction and response to immune checkpoint inhibitors: A prognostic immune signature for hepatocellular carcinoma. Translational Oncology. 14(1). 100957–100957. 16 indexed citations
9.
Li, Fufeng, Rui Zhou, Guozheng Li, & Rui-Wei Zhao. (2016). Classification of facial diagnosis gloss in Chinese medicine based on different algorithms. Chinese Journal of Integrative Medicine. 3 indexed citations
10.
Li, Guozheng, et al.. (2014). Qualitative and Quantitative Analysis for Facial Complexion in Traditional Chinese Medicine. BioMed Research International. 2014. 1–17. 19 indexed citations
11.
Zhao, Jie, Peng Qian, Yiqin Wang, et al.. (2013). Metabolic markers and microecological characteristics of tongue coating in patients with chronic gastritis. BMC Complementary and Alternative Medicine. 13(1). 227–227. 37 indexed citations
12.
Shi, Miaojing, Guozheng Li, Fufeng Li, & Chao Xu. (2012). Computer Science Education (ICCSE), 2012 7th International Conference on. 32 indexed citations
13.
Li, Fufeng. (2012). Studies on Relationship Between the Facial Complexion Characters And Kidney Function in TCM Clinical Syndrome of Chronic Renal Failure. Zhonghua zhongyiyao xuekan. 1 indexed citations
14.
Li, Fufeng, et al.. (2012). Computer-assisted lip diagnosis on traditional Chinese medicine using multi-class support vector machines. BMC Complementary and Alternative Medicine. 12(1). 127–127. 47 indexed citations
15.
Li, Fufeng. (2012). Metabolite changes in the greasy tongue coating of patients with chronic gastritis. Journal of Chinese Integrative Medicine. 10(7). 757–765. 6 indexed citations
16.
Yan, Jianjun, Xiaojing Shen, Yiqin Wang, et al.. (2010). Objective research of auscultation signals in Traditional Chinese Medicine based on wavelet packet energy and Support Vector Machine. International Journal of Bioinformatics Research and Applications. 6(5). 435–435. 2 indexed citations
17.
Wang, Yiqin, Fufeng Li, Jianjun Yan, et al.. (2009). Investigation on collection and analysis of information derived from four diagnostic techniques of TCM.. Zhonghua zhongyiyao zazhi. 24(11). 1397–1404. 2 indexed citations
18.
Li, Fufeng. (2006). Application of the HHT method to the wrist-pulse-signal analysis. Journal of Medical Biomechanics. 8 indexed citations
19.
Li, Fufeng. (2005). Study progress of the TCM Pulse Transducer. 8 indexed citations
20.
Li, Fufeng. (2005). Immunological mechanism of exfoliative tongue fur in children with asthma. Journal of Chinese Integrative Medicine. 3(6). 446–449. 6 indexed citations

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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