Mengfan Li

119 total papers · 856 total citations
78 papers, 552 citations indexed

About

Mengfan Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Mengfan Li has authored 78 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Mengfan Li's work include EEG and Brain-Computer Interfaces (37 papers), Neuroscience and Neural Engineering (21 papers) and Neural dynamics and brain function (18 papers). Mengfan Li is often cited by papers focused on EEG and Brain-Computer Interfaces (37 papers), Neuroscience and Neural Engineering (21 papers) and Neural dynamics and brain function (18 papers). Mengfan Li collaborates with scholars based in China, United States and Hong Kong. Mengfan Li's co-authors include Wei Li, Jing Zhao, Guizhi Xu, Genshe Chen, Huihui Zhou, Linwei Niu, Wei Li, Feng Duan, Ming Zeng and Qing‐Hao Meng and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mengfan Li

62 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Mengfan Li 324 174 109 77 56 78 552
Rohit Bose 323 1.0× 113 0.6× 41 0.4× 73 0.9× 32 0.6× 36 552
Md. Khademul Islam Molla 284 0.9× 103 0.6× 83 0.8× 55 0.7× 70 1.3× 39 468
Tetiana Aksenova 313 1.0× 193 1.1× 52 0.5× 80 1.0× 15 0.3× 40 455
Peter D. Lawrence 196 0.6× 150 0.9× 86 0.8× 35 0.5× 51 0.9× 37 503
Peter Van Hese 395 1.2× 150 0.9× 17 0.2× 63 0.8× 91 1.6× 48 613
Kai Zhang 291 0.9× 116 0.7× 38 0.3× 75 1.0× 13 0.2× 47 527
Teng Teng 287 0.9× 126 0.7× 91 0.8× 41 0.5× 8 0.1× 22 449
Tiejia Jiang 378 1.2× 41 0.2× 42 0.4× 43 0.6× 41 0.7× 56 526
Esmeralda C. Djamal 272 0.8× 52 0.3× 94 0.9× 66 0.9× 98 1.8× 130 612
Shurui Li 396 1.2× 181 1.0× 101 0.9× 141 1.8× 9 0.2× 49 582

Countries citing papers authored by Mengfan Li

Since Specialization
Citations

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

Fields of papers citing papers by Mengfan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengfan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mengfan Li. A scholar is included among the top collaborators of Mengfan 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 Mengfan Li. Mengfan Li 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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