Li Dong

1.9k total citations
58 papers, 1.3k citations indexed

About

Li Dong is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Li Dong has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 20 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Signal Processing. Recurrent topics in Li Dong's work include Functional Brain Connectivity Studies (39 papers), Neural dynamics and brain function (26 papers) and EEG and Brain-Computer Interfaces (26 papers). Li Dong is often cited by papers focused on Functional Brain Connectivity Studies (39 papers), Neural dynamics and brain function (26 papers) and EEG and Brain-Computer Interfaces (26 papers). Li Dong collaborates with scholars based in China, United Kingdom and United States. Li Dong's co-authors include Dezhong Yao, Cheng Luo, Dezhong Yao, Yongxiu Lai, Diankun Gong, Jianfu Li, Peng Xu, Hui He, Fali Li and Pedro A. Valdés‐Sosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Li Dong

55 papers receiving 1.3k citations

Peers

Li Dong
Comparison fields: 5 of 96
  • Cognitive Neuroscience 1.1k
  • Radiology, Nuclear Medicine and Imaging 264
  • Experimental and Cognitive Psychology 210
  • Psychiatry and Mental health 208
  • Cellular and Molecular Neuroscience 129
Replace Maria João Rosa with:
Maria João Rosa United Kingdom
Sonia Crottaz‐Herbette Switzerland
Jessica Schrouff Belgium
Hui He China
Yongxiu Lai China
Colin Hawco Canada
Mikhail Zvyagintsev Germany
Juliane Britz Switzerland
Gijs Plomp Switzerland
Valentina Petre Canada
Maria João Rosa United Kingdom View profile →
Citations per field, relative to Li Dong
Li Dong · 1×
Citations per year, relative to Li Dong
Li Dong · 1×

Countries citing papers authored by Li Dong

Since Specialization
Citations

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

Fields of papers citing papers by Li Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Li Dong. A scholar is included among the top collaborators of Li Dong 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 Li Dong. Li Dong 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
# Work Indexed citations
1 1
2 4
3 1
4 2
5 2
6 7
7 2
8 7
9 1
10 13
11 16
12 11
13 40
14 6
15 56
16 17
17 143
18 22
19 47
20 25

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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