Jingpeng Wu

3.9k total citations
36 papers, 964 citations indexed

About

Jingpeng Wu is a scholar working on Electrical and Electronic Engineering, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jingpeng Wu has authored 36 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Biophysics and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jingpeng Wu's work include Cell Image Analysis Techniques (10 papers), Advanced Memory and Neural Computing (9 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Jingpeng Wu is often cited by papers focused on Cell Image Analysis Techniques (10 papers), Advanced Memory and Neural Computing (9 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Jingpeng Wu collaborates with scholars based in China, United States and Russia. Jingpeng Wu's co-authors include Hui Gong, Anan Li, Qingming Luo, Shaoqun Zeng, Cheng Yan, Qian Liu, Qingdi Wang, Bin Zhang, Zhongqin Yang and Wenxiang Ding and has published in prestigious journals such as Science, Advanced Materials and Journal of Neuroscience.

In The Last Decade

Jingpeng Wu

30 papers receiving 951 citations

Peers

Jingpeng Wu
Comparison fields: 5 of 105
  • Biophysics 542
  • Molecular Biology 212
  • Cellular and Molecular Neuroscience 178
  • Biomedical Engineering 143
  • Cognitive Neuroscience 141
Replace Cheng Yan with:
Cheng Yan China
Ludovico Silvestri Italy
Timothy Ragan United States
Zongcai Ruan China
Fabian F. Voigt Switzerland
Venkatakaushik Voleti United States
Zhao Feng China
Nathan Clack United States
Jan Funke United States
Qiuyuan Zhong China
Cheng Yan China View profile →
Citations per field, relative to Jingpeng Wu
Jingpeng Wu · 1×
Citations per year, relative to Jingpeng Wu
Jingpeng Wu · 1×

Countries citing papers authored by Jingpeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingpeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingpeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingpeng Wu. A scholar is included among the top collaborators of Jingpeng Wu 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 Jingpeng Wu. Jingpeng Wu 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 7
4 0
5 2
6 28
7 2
8 0
9 4
10 7
11 1
12 3
13 6
14 1
15 24
16 29
17 86
18 39
19 163
20 91

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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