Guijin Wang

4.2k citations
175 papers · 2.5k · h-index 29

Impact in

Papers in

Guijin Wang

168 papers receiving 2.4k citations

Peers

Guijin Wang
Comparison fields: 5 of 131
  • Human-Computer Interaction 397
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 211
  • Fuel Technology 16
  • Cognitive Neuroscience 291
Replace Yun Liu with:
Yun Liu China
Gui‐Bin Bian China
A. Lay-Ekuakille Italy
Naimul Khan Canada
Gregory J. Ward United States
Zhiqiang Zhang China
Minho Lee South Korea
Zhiqiang Tian China
Bin Yang Germany
Guijin Wang relative to Yun Liu China Yun Liu's profile →
Citations per field
00.5×1.5×2.3×
Yun Liu · 1×
Citations per year

Countries citing papers authored by Guijin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guijin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 2019117
3 2013102
4 201897
5 202178
6 201772
7 201870
8 201869
9 202162
10 201958
11 201654
12 202149
13 202342
14 201539
15 202237
16 202236
17 201935
18 201334
19 202133
20 201733

About Guijin Wang

Guijin Wang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Media Technology, Human-Computer Interaction and Cardiology and Cardiovascular Medicine, having authored 175 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (38 papers), Video Surveillance and Tracking Methods (33 papers), Human Pose and Action Recognition (27 papers), Advanced Image and Video Retrieval Techniques (25 papers), Hand Gesture Recognition Systems (20 papers), Image Processing Techniques and Applications (19 papers), ECG Monitoring and Analysis (15 papers) and EEG and Brain-Computer Interfaces (14 papers). The work is most often cited by research in Human-Computer Interaction (397 citations), Computer Vision and Pattern Recognition (1.3k citations), Media Technology (211 citations), Fuel Technology (16 citations) and Cognitive Neuroscience (291 citations). Guijin Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xinghao Chen, Huazhong Yang, Xinggang Lin, Cai‐Rong Zhang, Hengkai Guo, Jing‐Hao Xue, Xianting Li, Xuanwu Yin, Huan Wang and Ping Zhang. Their work appears in journals such as Neurocomputing, Pattern Recognition, Sensors, IEEE Signal Processing Letters and Journal of the Energy Institute.

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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