Guangqin Wang

751 total citations
33 papers, 468 citations indexed

About

Guangqin Wang is a scholar working on Sensory Systems, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Guangqin Wang has authored 33 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sensory Systems, 9 papers in Electrical and Electronic Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Guangqin Wang's work include Hearing, Cochlea, Tinnitus, Genetics (14 papers), Hearing Loss and Rehabilitation (8 papers) and Terahertz technology and applications (5 papers). Guangqin Wang is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (14 papers), Hearing Loss and Rehabilitation (8 papers) and Terahertz technology and applications (5 papers). Guangqin Wang collaborates with scholars based in China, United States and Hong Kong. Guangqin Wang's co-authors include Zhiyong Liu, Shuting Li, Chao Li, Shunji He, Jingling Shen, Tong Zhu, Suhong Sun, Wei Luo, He Zhang and Lei Song and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Guangqin Wang

33 papers receiving 459 citations

Peers

Guangqin Wang
Comparison fields: 5 of 79
  • Sensory Systems 251
  • Molecular Biology 130
  • Cognitive Neuroscience 114
  • Electrical and Electronic Engineering 78
  • Biomedical Engineering 73
Replace Fumiaki Nin with:
Fumiaki Nin Japan
Zahoor Ahmed China
Genki Ogata Japan
Joachim Hermann United States
Arani Roy United States
Victoria A. Lukashkina United Kingdom
Pingcheng Zhang China
Yuwen Zhao China
Elena Leonova United States
Patrick J. Atkinson United States
Fumiaki Nin Japan View profile →
Citations per field, relative to Guangqin Wang
Guangqin Wang · 1×
Citations per year, relative to Guangqin Wang
Guangqin Wang · 1×

Countries citing papers authored by Guangqin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangqin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangqin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangqin Wang. A scholar is included among the top collaborators of Guangqin Wang 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 Guangqin Wang. Guangqin Wang 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 4
2 4
3 2
4 1
5 4
6 2
7 27
8 5
9 8
10 8
11 3
12 30
13 25
14 28
15 44
16 14
17 20
18 24
19 23
20 27

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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