Xiangjun Wang

2.3k citations
183 papers · 1.6k · h-index 20

Impact in

Papers in

Xiangjun Wang

164 papers receiving 1.5k citations

Peers

Xiangjun Wang
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 477
  • Polymers and Plastics 256
  • Media Technology 139
  • Geology 67
  • Instrumentation 41
Replace Laurent Robert with:
Laurent Robert France
Wei Gao China
Lin Wang China
Shuang Zhao United States
Jiaqi Wang China
Wen Wang China
Paul F. Whelan Ireland
Xirong Li China
Xiangjun Wang relative to Laurent Robert France Laurent Robert's profile →
Citations per field
00.5×4.8×
Laurent Robert · 1×
Citations per year

Countries citing papers authored by Xiangjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiangjun 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 Xiangjun Wang Line = papers co-authored together Xiangjun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006121
2 2009113
3 201770
4 201858
5 201850
6 200641
7 201841
8 202038
9 200238
10 202035
11 201334
12 201431
13 201727
14 200526
15 201925
16 201523
17 202322
18 201322
19 201821
20 202220

About Xiangjun Wang

Xiangjun Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Mechanical Engineering and Environmental Engineering, having authored 183 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (23 papers), Advanced Measurement and Detection Methods (17 papers), Advanced Vision and Imaging (16 papers), Wind and Air Flow Studies (12 papers), Robotics and Sensor-Based Localization (11 papers), 3D Surveying and Cultural Heritage (10 papers), Fluid Dynamics and Vibration Analysis (8 papers) and Ultrasonics and Acoustic Wave Propagation (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Polymers and Plastics (256 citations), Media Technology (139 citations), Geology (67 citations) and Instrumentation (41 citations). Xiangjun Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Nan Gao, Mats R. Andersson, Zonghua Zhang, Olle Inganäs, Chao Chen, Erik Perzon, Shimelis Admassie, Xiaoqing Wang, Yue Wang and Magnus Berggren. Their work appears in journals such as Measurement, Sensors, Measurement Science and Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and Optics Express.

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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