Jinpeng Li

78 total papers · 2.2k total citations
45 papers, 1.5k citations indexed

About

Jinpeng Li is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Jinpeng Li has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 16 papers in Artificial Intelligence and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Jinpeng Li's work include EEG and Brain-Computer Interfaces (15 papers), Emotion and Mood Recognition (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jinpeng Li is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Emotion and Mood Recognition (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Jinpeng Li collaborates with scholars based in China, Hong Kong and Singapore. Jinpeng Li's co-authors include Huiguang He, Shuang Qiu, Zhaoxiang Zhang, Changde Du, Cheng‐Lin Liu, Yuanyuan Shen, Ming Jin, Ting Cai, Yixin Wang and Zhunan Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and BMC Bioinformatics.

In The Last Decade

Jinpeng Li

40 papers receiving 1.4k citations

Hit Papers

Multisource Transfer Lear... 2019 2026 2021 2023 2019 2021 2024 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jinpeng Li 952 757 359 200 193 45 1.5k
Shuang Qiu 1.0k 1.1× 392 0.5× 166 0.5× 233 1.2× 103 0.5× 52 1.4k
Oliver Y. Chén 1.2k 1.3× 443 0.6× 127 0.4× 120 0.6× 140 0.7× 35 1.8k
Jian Shen 578 0.6× 414 0.5× 678 1.9× 78 0.4× 341 1.8× 54 1.6k
Xiang Li 734 0.8× 682 0.9× 488 1.4× 162 0.8× 132 0.7× 54 1.5k
Bin Yan 791 0.8× 379 0.5× 253 0.7× 111 0.6× 322 1.7× 169 1.8k
Qing Cai 638 0.7× 346 0.5× 157 0.4× 86 0.4× 70 0.4× 41 1.3k
Rajamanickam Yuvaraj 1.3k 1.3× 273 0.4× 174 0.5× 73 0.4× 105 0.5× 48 1.8k
László A. Jeni 264 0.3× 501 0.7× 284 0.8× 101 0.5× 690 3.6× 54 1.5k
Mohammed Yeasin 483 0.5× 251 0.3× 404 1.1× 310 1.6× 609 3.2× 106 1.8k
Ziyu Jia 731 0.8× 402 0.5× 181 0.5× 179 0.9× 134 0.7× 65 1.3k

Countries citing papers authored by Jinpeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinpeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinpeng Li

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