Weize Quan

779 citations
23 papers · 391 · h-index 11

Impact in

Papers in

Weize Quan

20 papers receiving 379 citations

Peers

Weize Quan
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 313
  • Computer Graphics and Computer-Aided Design 30
  • Biophysics 27
  • Geology 19
  • Media Technology 30
Replace Harshith Goka with:
Harshith Goka United States
Jeffrey Wu United States
Minwoo Park United States
C. Rothwell United Kingdom
Heewoo Jun United States
Yingchen Yu Singapore
Daesik Jang South Korea
W. Niem Germany
Iro Laina United Kingdom
Yueyu Hu China
Weize Quan relative to Harshith Goka United States Harshith Goka's profile →
Citations per field
00.5×2.7×
Harshith Goka · 1×
Citations per year

Countries citing papers authored by Weize Quan

Since Specialization
Citations

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

Fields of papers citing papers by Weize Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202294
2 201878
3 202145
4 202026
5 202423
6 202323
7 202215
8 202015
9 202214
10 202012
11 202112
12 20227
13 20236
14 20245
15 20244
16 20164
17 20233
18 20143
19 20221
20 20161

About Weize Quan

Weize Quan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Biophysics and Geology, having authored 23 papers that have together received 391 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (6 papers), Digital Media Forensic Detection (6 papers), 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (5 papers), Cell Image Analysis Techniques (4 papers), Image Processing and 3D Reconstruction (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Computer Graphics and Computer-Aided Design (30 citations), Biophysics (27 citations), Geology (19 citations) and Media Technology (30 citations). Weize Quan has collaborated with scholars based in China, France and Saudi Arabia. Frequent co-authors include Dong‐Ming Yan, Xiaopeng Zhang, Kai Wang, Yong Zhang, Zhifeng Li, Jue Wang, Ruisong Zhang, Jianwei Guo, Qingyi Gu and Yang Liu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security, Computational Visual Media and Signal Processing Image Communication.

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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