Chengyu Li

3.1k total citations
67 papers, 1.6k citations indexed

About

Chengyu Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Chengyu Li has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Chengyu Li's work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Memory and Neural Computing (8 papers). Chengyu Li is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Memory and Neural Computing (8 papers). Chengyu Li collaborates with scholars based in China, United States and Russia. Chengyu Li's co-authors include Mu‐ming Poo, Xiaowei Gu, Jiangteng Lu, Hongmei Fan, Ruiqing Hou, Xiaohui Zhang, Jia Zhu, Xiaoxing Zhang, Zhe Han and Jianping Zhao and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Chengyu Li

54 papers receiving 1.6k citations

Peers

Chengyu Li
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 755
  • Cognitive Neuroscience 667
  • Electrical and Electronic Engineering 365
  • Molecular Biology 282
  • Biomedical Engineering 154
Replace Yuji Nagai with:
Yuji Nagai Japan
Dirk Schubert Netherlands
Mariateresa Tedesco Italy
Johanna M. Montgomery New Zealand
Udo Kraushaar Germany
Yasuhiro Tanaka Japan
Guifen Chen United States
Yang Zhan China
Sunggu Yang South Korea
Yuji Nagai Japan View profile →
Citations per field, relative to Chengyu Li
Chengyu Li · 1×
Citations per year, relative to Chengyu Li
Chengyu Li · 1×

Countries citing papers authored by Chengyu Li

Since Specialization
Citations

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

Fields of papers citing papers by Chengyu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyu Li. A scholar is included among the top collaborators of Chengyu 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 Chengyu Li. Chengyu Li 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 0
2 1
3 0
4 2
5 0
6 0
7 0
8 1
9 2
10 25
11 10
12 11
13 1
14 171
15 55
16 37
17 4
18 32
19 70
20 3

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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