Chun Wang

65 papers receiving 674 citations

Peers

Chun Wang
Comparison fields: 5 of 105
  • Computer Networks and Communications 163
  • Signal Processing 50
  • Electrical and Electronic Engineering 257
  • Computer Vision and Pattern Recognition 76
  • Information Systems 76
Replace Cong Wu with:
Cong Wu China
Shining Li China
Zhonghua Li China
Sharad Sharma India
Christos Antonopoulos Greece
Yifei Yuan China
Huaijun Wang China
Chenggang Li China
Chang Tian China
Chun Wang relative to Cong Wu China Cong Wu's profile →
Citations per field
00.5×2.5×
Cong Wu · 1×
Citations per year

Countries citing papers authored by Chun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun Wang Line = papers co-authored together Chun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 2016103
3 201681
4 201951
5 202435
6 202119
7 202119
8 202018
9 202018
10 202418
11 201817
12 201416
13 201912
14 201410
15 202210
16 202210
17 20199
18 20229
19 20139
20 20169

About Chun Wang

Chun Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Civil and Structural Engineering, having authored 71 papers that have together received 689 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Hand Gesture Recognition Systems (5 papers), Soil Mechanics and Vehicle Dynamics (5 papers), Speech and Audio Processing (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Image Processing and 3D Reconstruction (4 papers), Advanced Algorithms and Applications (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Networks and Communications (163 citations), Signal Processing (50 citations), Electrical and Electronic Engineering (257 citations), Computer Vision and Pattern Recognition (76 citations) and Information Systems (76 citations). Chun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Juan Luo, Luxiu Yin, Xuan Liu, Jianbin Chen, Jianke Du, Qihong Fang, Xin Fan, Haibo Luo, Jin‐Yu Hu and Zhenyan Zhang. Their work appears in journals such as IEEE Access, International journal of agricultural and biological engineering, Gene, IEEE Transactions on Industrial Informatics and Theoretical and Applied Fracture Mechanics.

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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