Qi Fan

706 total citations
22 papers, 633 citations indexed

About

Qi Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Microbiology. According to data from OpenAlex, Qi Fan has authored 22 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Microbiology. Recurrent topics in Qi Fan's work include Face and Expression Recognition (12 papers), Antimicrobial Peptides and Activities (7 papers) and Machine Learning and ELM (6 papers). Qi Fan is often cited by papers focused on Face and Expression Recognition (12 papers), Antimicrobial Peptides and Activities (7 papers) and Machine Learning and ELM (6 papers). Qi Fan collaborates with scholars based in China, Russia and United States. Qi Fan's co-authors include Daqi Gao, Zhe Wang, Runhui Liu, Hongyuan Zha, Yuxin Qian, Si Zhang, Dongdong Li, Jiayang Xie, Qiang Zhang and Ning Shao and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Medicinal Chemistry and International Journal of Hydrogen Energy.

In The Last Decade

Qi Fan

20 papers receiving 629 citations

Peers

Qi Fan
Yeqing Liu China
Anzhi Wang China
Yingyue Zhang United States
Yinglu Wang China
Guiqiang Zhang China
Yapin Wang China
Moonsoo Ra South Korea
Yeqing Liu China
Qi Fan
Citations per year, relative to Qi Fan Qi Fan (= 1×) peers Yeqing Liu

Countries citing papers authored by Qi Fan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Fan. A scholar is included among the top collaborators of Qi Fan 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 Qi Fan. Qi Fan 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.
Lin, Hong, et al.. (2025). Integrated simulation of hydrogen leakage-diffusion-explosion and dynamic structural responses in an offshore hydrogen production platform. International Journal of Hydrogen Energy. 185. 151964–151964.
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Etayash, Hashem, Yuxin Qian, Daniel Pletzer, et al.. (2020). Host Defense Peptide-Mimicking Amphiphilic β-Peptide Polymer (Bu:DM) Exhibiting Anti-Biofilm, Immunomodulatory, and in Vivo Anti-Infective Activity. Journal of Medicinal Chemistry. 63(21). 12921–12928. 34 indexed citations
5.
Wang, Zhe, et al.. (2020). Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. Engineering Applications of Artificial Intelligence. 90. 103535–103535. 3 indexed citations
6.
Fan, Qi, Yuxin Qian, Ning Shao, et al.. (2019). Practical Preparation of Infection-Resistant Biomedical Surfaces from Antimicrobial β-Peptide Polymers. ACS Applied Materials & Interfaces. 11(21). 18907–18913. 83 indexed citations
7.
Zhang, Qiang, Pengcheng Ma, Jiayang Xie, et al.. (2019). Host defense peptide mimicking poly-β-peptides with fast, potent and broad spectrum antibacterial activities. Biomaterials Science. 7(5). 2144–2151. 90 indexed citations
8.
Qian, Yuxin, Shuai Deng, Tingyan Liu, et al.. (2019). Dual functional β-peptide polymer-modified resin beads for bacterial killing and endotoxin adsorption. 1(1). 27 indexed citations
9.
Zhang, Si, Ximian Xiao, Qi Fan, et al.. (2019). Biofilm Disruption Utilizing α/β Chimeric Polypeptide Molecular Brushes. Chinese Journal of Polymer Science. 37(11). 1105–1112. 24 indexed citations
10.
Qian, Yuxin, Qi Fan, Qi Chen, et al.. (2018). Surface Modified with a Host Defense Peptide-Mimicking β-Peptide Polymer Kills Bacteria on Contact with High Efficacy. ACS Applied Materials & Interfaces. 10(18). 15395–15400. 120 indexed citations
11.
Zhang, Danfeng, Yuxin Qian, Si Zhang, et al.. (2018). Alpha-beta chimeric polypeptide molecular brushes display potent activity against superbugs-methicillin resistant Staphylococcus aureus. Science China Materials. 62(4). 604–610. 36 indexed citations
12.
Fan, Qi, Zhe Wang, & Daqi Gao. (2018). Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Processing Letters. 49(3). 1485–1509. 1 indexed citations
13.
Fan, Qi & Daqi Gao. (2016). A fast BP networks with dynamic sample selection for handwritten recognition. Pattern Analysis and Applications. 21(1). 67–80. 6 indexed citations
14.
Fan, Qi, Daqi Gao, & Zhe Wang. (2016). Multiple empirical kernel learning with locality preserving constraint. Knowledge-Based Systems. 105. 107–118. 11 indexed citations
15.
Fan, Qi, Zhe Wang, & Daqi Gao. (2016). One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Engineering Applications of Artificial Intelligence. 53. 62–73. 20 indexed citations
16.
Fan, Qi, Zhe Wang, Hongyuan Zha, & Daqi Gao. (2016). MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognition. 61. 197–209. 19 indexed citations
17.
Fan, Qi, Zhe Wang, Daqi Gao, & Dongdong Li. (2015). MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowledge-Based Systems. 77. 40–55. 1 indexed citations
18.
Wang, Zhe, Qi Fan, Ke Sheng, & Daqi Gao. (2015). Structural multiple empirical kernel learning. Information Sciences. 301. 124–140. 6 indexed citations
19.
Wang, Zhe, Qi Fan, & Daqi Gao. (2015). Multiple Empirical Kernel Learning with dynamic pairwise constraints. Applied Soft Computing. 30. 14–25.
20.
Wang, Zhe, et al.. (2014). An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. Neural Processing Letters. 42(3). 715–744. 2 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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