Qinwei Fan

58 total papers · 942 total citations
41 papers, 613 citations indexed

About

Qinwei Fan is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Qinwei Fan has authored 41 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Qinwei Fan's work include Machine Learning and ELM (19 papers), Neural Networks and Applications (18 papers) and Sparse and Compressive Sensing Techniques (6 papers). Qinwei Fan is often cited by papers focused on Machine Learning and ELM (19 papers), Neural Networks and Applications (18 papers) and Sparse and Compressive Sensing Techniques (6 papers). Qinwei Fan collaborates with scholars based in China, United States and Poland. Qinwei Fan's co-authors include Jacek M. Żurada, Wei Wu, Ranhua Xiong, Qian Kang, Wenjing Ma, Chaobo Huang, Yingying Zhang, Yankang Deng, Tao Lu and Yan Liu and has published in prestigious journals such as Chemical Engineering Journal, Journal of Materials Chemistry A and Journal of Membrane Science.

In The Last Decade

Qinwei Fan

38 papers receiving 596 citations

Hit Papers

Bio-based materials with ... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qinwei Fan 269 109 95 94 79 41 613
Jinhua Wang 51 0.2× 67 0.6× 70 0.7× 51 0.5× 16 0.2× 43 620
Zhihao Li 49 0.2× 156 1.4× 79 0.8× 46 0.5× 99 1.3× 43 511
Ping Wang 319 1.2× 139 1.3× 119 1.3× 90 1.0× 7 0.1× 47 670
Qiang Chen 277 1.0× 32 0.3× 32 0.3× 46 0.5× 92 1.2× 46 562
Ning Yang 84 0.3× 17 0.2× 41 0.4× 162 1.7× 25 0.3× 49 576
Can Zhu 116 0.4× 14 0.1× 135 1.4× 195 2.1× 43 0.5× 46 620
Qing An 71 0.3× 11 0.1× 56 0.6× 117 1.2× 72 0.9× 74 634
Hong Gao 99 0.4× 11 0.1× 106 1.1× 55 0.6× 39 0.5× 65 538
Chunlin Yang 49 0.2× 17 0.2× 170 1.8× 126 1.3× 57 0.7× 62 566
Xiaohong Sun 70 0.3× 6 0.1× 76 0.8× 110 1.2× 151 1.9× 46 585

Countries citing papers authored by Qinwei Fan

Since Specialization
Citations

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

Fields of papers citing papers by Qinwei Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinwei Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Qinwei Fan. A scholar is included among the top collaborators of Qinwei 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 Qinwei Fan. Qinwei Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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