Jingcong Li

865 citations
30 papers · 612 · h-index 14

Impact in

Papers in

    • Advanced Memory and Neural Computing 5
    • Advanced Optical Network Technologies 4
    • Optical Network Technologies 3
    • Photonic and Optical Devices 3
    • EEG and Brain-Computer Interfaces 11
    • Functional Brain Connectivity Studies 4
    • Neural dynamics and brain function 4

Jingcong Li

28 papers receiving 599 citations

Peers

Jingcong Li
Comparison fields: 5 of 92
  • Cognitive Neuroscience 310
  • Experimental and Cognitive Psychology 187
  • Human-Computer Interaction 59
  • Computer Vision and Pattern Recognition 127
  • Neurology 45
Replace Rami Alazrai with:
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Mehmet Akif Özdemir Türkiye
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Jingcong Li relative to Rami Alazrai Jordan Rami Alazrai's profile →
Citations per field
00.5×1.5×1.8×
Rami Alazrai · 1×
Citations per year

Countries citing papers authored by Jingcong Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingcong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingcong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingcong Li Line = papers co-authored together Jingcong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 202175
3 201955
4 201947
5 201940
6 202335
7 201835
8 202333
9 202133
10 202326
11 201421
12 201917
13 202216
14 202114
15 202113
16 201911
17 20227
18 20216
19 20215
20 20225

About Jingcong Li

Jingcong Li is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Epidemiology, having authored 30 papers that have together received 612 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Advanced Memory and Neural Computing (5 papers), Advanced Optical Network Technologies (4 papers), Emotion and Mood Recognition (4 papers), Functional Brain Connectivity Studies (4 papers), Neural dynamics and brain function (4 papers), Optical Network Technologies (3 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Cognitive Neuroscience (310 citations), Experimental and Cognitive Psychology (187 citations), Human-Computer Interaction (59 citations), Computer Vision and Pattern Recognition (127 citations) and Neurology (45 citations). Jingcong Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiahui Pan, Fei Wang, Zhenghui Gu, Zhu Liang Yu, Yuanqing Li, Shuqi Li, Zhipeng He, Haiyun Huang, Wei Wu and Hui Liu. Their work appears in journals such as Frontiers in Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Sensors, IEEE Journal of Biomedical and Health Informatics and Knowledge-Based Systems.

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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