Guangrun Wang

3.1k citations
47 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

    • Advanced Neural Network Applications 13
    • Human Pose and Action Recognition 10
    • Video Surveillance and Tracking Methods 9
    • Face recognition and analysis 5
    • Generative Adversarial Networks and Image Synthesis 4
    • Domain Adaptation and Few-Shot Learning 16
    • Adversarial Robustness in Machine Learning 5

Guangrun Wang

45 papers receiving 2.1k citations

Guangrun Wang's Hit Papers

Deep feature learning with relative distance comparison for person re-identification 2015 · 523 citations
5230+3+7Years since publication100200300400500

Peers

Guangrun Wang
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 553
  • Biomedical Engineering 553
  • Signal Processing 130
  • Fluid Flow and Transfer Processes 56
Replace Xiaojun Jing with:
Xiaojun Jing China
Chunjie Zhang China
Yong Gan China
Yi Fang China
Bing Xiao China
Xiaojuan Ban China
Yibo Fan China
Minseok Kim South Korea
Lei Feng China
Guangrun Wang relative to Xiaojun Jing China Xiaojun Jing's profile →
Citations per field
00.5×2×3.3×
Xiaojun Jing · 1×
Citations per year

Countries citing papers authored by Guangrun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangrun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep feature learning with relative distance comparison for person re-identification
Hit paper breakdown →
2015523
2 2008195
3 2017154
4 2016125
5 2020115
6 2020108
7 202199
8 201766
9 200862
10 202161
11 202059
12 202055
13 202254
14 201947
15 202146
16 202032
17 202231
18 200529
19 202226
20 201626

About Guangrun Wang

Guangrun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Advanced Neural Network Applications (13 papers), Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (9 papers), Adversarial Robustness in Machine Learning (5 papers), Face recognition and analysis (5 papers), Gait Recognition and Analysis (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (553 citations), Biomedical Engineering (553 citations), Signal Processing (130 citations) and Fluid Flow and Transfer Processes (56 citations). Guangrun Wang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Liang Lin, Shengyong Ding, Hongyang Chao, Xiaodan Liang, Xiaojun Chang, Ya Li, Qing Shu, Baoxiang Peng, Jinfu Wang and Dezheng Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Industrial & Engineering Chemistry Research, Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and The Journal of Chemical Physics.

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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