Chunxiang Wang

3.0k citations
173 papers · 2.0k indexed · h-index 24
Topics
Autonomous Vehicle Technology and Safety (44 papers)Robotics and Sensor-Based Localization (42 papers)Advanced Neural Network Applications (32 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingElectrochimica Acta
Partner nations
ChinaFranceJapan

In The Last Decade

Chunxiang Wang

159 papers receiving 2.0k citations

Peers

Chunxiang Wang
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 864
  • Aerospace Engineering 520
  • Automotive Engineering 477
  • Electrical and Electronic Engineering 398
  • Environmental Engineering 228
Replace Yicheng Li with:
Yicheng Li China
Xinyu Zhang China
Yassine Ruichek France
Kailun Yang China
Zhe Liu China
Yuexin Ma China
Alfonso García-Cerezo Spain
Hai Huang China
Chunxiang Wang relative to Yicheng Li China Yicheng Li's profile →
Citations per field
00.5×4.5×
Yicheng Li · 1×
Citations per year

Countries citing papers authored by Chunxiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunxiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunxiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunxiang Wang. A scholar is included among the top collaborators of Chunxiang 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 Chunxiang Wang. Chunxiang 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
#WorkIndexed citations
1 0
2 2
3 11
4 2
5 1
6 2
7 0
8 25
9 0
10 4
11 1
12 3
13 11
14 5
15 8
16 27
17
High resolution remote sensing image segmentation based on multi-features fusion
4
18
August 2014 Hiroshima landslide disaster and its societal impact
1
19
Localization System for Intelligent Vehicles Based on Magneto-resistive Sensor
0
20
The Tension Control System Based on Neural Network
2

About Chunxiang Wang

Chunxiang Wang is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Geology, having authored 173 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (44 papers), Robotics and Sensor-Based Localization (42 papers) and Advanced Neural Network Applications (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (864 citations), Automotive Engineering (477 citations) and Geology (173 citations). Chunxiang Wang has collaborated with scholars based in China, France and Japan. Frequent co-authors include Ming Yang, Yeqiang Qian, Liuyuan Deng, Liang Li, Bing Wang, Bing Wang, Bing Wang, Zhifeng Li, Bing Wang and Yujing Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Electrochimica Acta.

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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