Guangcong Wang

1.3k citations
21 papers · 737 · h-index 12

Impact in

Papers in

Guangcong Wang

18 papers receiving 728 citations

Peers

Guangcong Wang
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 653
  • Computer Graphics and Computer-Aided Design 66
  • Biomedical Engineering 191
  • Safety, Risk, Reliability and Quality 36
  • Artificial Intelligence 106
Replace Di Kang with:
Di Kang China
Hong-Xing Yu China
Huimin Yu China
Haiyun Guo China
Timur Bagautdinov United States
Ruizhi Qiao China
Yurong You United States
Fangneng Zhan Singapore
Raymond A. Yeh United States
David Hafner Germany
Guangcong Wang relative to Di Kang China Di Kang's profile →
Citations per field
00.5×7.6×
Di Kang · 1×
Citations per year

Countries citing papers authored by Guangcong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangcong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Guangcong 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 Guangcong Wang Line = papers co-authored together Guangcong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2019120
3 202389
4 202173
5 202053
6 202141
7 202241
8 201736
9 202029
10 201719
11 202317
12 202115
13 202111
14 202410
15 20207
16
Heterogeneous Model Transfer between Different Neural Networks
20212
17 20241
18
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark.
20191
19 20250
20
Distilled-3DGS:Distilled 3D Gaussian Splatting
20250

About Guangcong Wang

Guangcong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Computational Mechanics, having authored 21 papers that have together received 737 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (7 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (5 papers), Face recognition and analysis (4 papers), Gait Recognition and Analysis (4 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (653 citations), Computer Graphics and Computer-Aided Design (66 citations), Biomedical Engineering (191 citations), Safety, Risk, Reliability and Quality (36 citations) and Artificial Intelligence (106 citations). Guangcong Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jianhuang Lai, Xiaohua Xie, Ziwei Liu, Zeyu Chen, Zhaoxi Chen, Wenqi Liang, Guangrun Wang, Chen Change Loy, Liang Lin and Keze Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Graphics, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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