Weize Quan

779 total citations
23 papers, 391 citations indexed

About

Weize Quan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Weize Quan has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Weize Quan's work include Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (6 papers) and Digital Media Forensic Detection (6 papers). Weize Quan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Image Processing Techniques (6 papers) and Digital Media Forensic Detection (6 papers). Weize Quan collaborates with scholars based in China, France and Finland. Weize Quan's co-authors include Dong‐Ming Yan, Xiaopeng Zhang, Kai Wang, Yong Zhang, Zhifeng Li, Ruisong Zhang, Jue Wang, Jianwei Guo, Yang Liu and Qingyi Gu and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Weize Quan

20 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Weize Quan China	11	313	42	34	31	30	23	391
Harshith Goka United States	2	402 1.3×	45 1.1×	19 0.6×	45 1.5×	57 1.9×	2	506
Jeffrey Wu United States	4	231 0.7×	125 3.0×	23 0.7×	20 0.6×	20 0.7×	5	317
W. Niem Germany	7	224 0.7×	23 0.5×	16 0.5×	30 1.0×	23 0.8×	12	280
Hwasup Lim South Korea	10	196 0.6×	25 0.6×	17 0.5×	15 0.5×	22 0.7×	37	270
Yingchen Yu Singapore	12	446 1.4×	92 2.2×	12 0.4×	59 1.9×	32 1.1×	19	542
Minwoo Park United States	9	317 1.0×	23 0.5×	17 0.5×	25 0.8×	62 2.1×	34	396
Lili Meng China	9	250 0.8×	76 1.8×	19 0.6×	12 0.4×	11 0.4×	27	361
Heewoo Jun United States	4	250 0.8×	160 3.8×	63 1.9×	19 0.6×	20 0.7×	4	366
Daesik Jang South Korea	8	370 1.2×	69 1.6×	9 0.3×	11 0.4×	22 0.7×	19	435
Mingdeng Cao China	8	381 1.2×	45 1.1×	24 0.7×	24 0.8×	122 4.1×	16	487

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-authorship network of co-authors of Weize Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Weize Quan. A scholar is included among the top collaborators of Weize Quan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weize Quan. Weize Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Jie, et al.. (2025). Distinctive learning of latent space feature for occlusion-aware facade parsing. Building and Environment. 279. 112955–112955.

Zhong, Yi, et al.. (2025). PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10689–10697.

Wang, Hanxiao, Mingyang Zhao, Yiqun Wang, Weize Quan, & Dong‐Ming Yan. (2024). VQ-CAD: Computer-Aided Design model generation with vector quantized diffusion. Computer Aided Geometric Design. 111. 102327–102327. 5 indexed citations

Zhao, Mingyang, Keqiang Li, Weize Quan, et al.. (2024). CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6171–6179. 4 indexed citations

Jiang, Jie, et al.. (2024). MPIC: Exploring alternative approach to standard convolution in deep neural networks. Neural Networks. 184. 107082–107082.

Quan, Weize, J. Chen, Yanli Liu, Dong‐Ming Yan, & Peter Wonka. (2024). Deep Learning-Based Image and Video Inpainting: A Survey. International Journal of Computer Vision. 132(7). 2367–2400. 23 indexed citations

Quan, Weize, et al.. (2023). Layout-aware Single-image Document Flattening. ACM Transactions on Graphics. 43(1). 1–17. 3 indexed citations

Quan, Weize, et al.. (2023). CGFormer: ViT-Based Network for Identifying Computer-Generated Images With Token Labeling. IEEE Transactions on Information Forensics and Security. 19. 235–250. 6 indexed citations

Zhang, Yong, Weize Quan, Yanbo Fan, et al.. (2023). DPE: Disentanglement of Pose and Expression for General Video Portrait Editing. 427–436. 23 indexed citations

10.

Quan, Weize, Ruisong Zhang, Yong Zhang, et al.. (2022). Image Inpainting With Local and Global Refinement. IEEE Transactions on Image Processing. 31. 2405–2420. 94 indexed citations

11.

Quan, Weize, et al.. (2022). Neural texture transfer assisted video coding with adaptive up-sampling. Signal Processing Image Communication. 107. 116754–116754. 1 indexed citations

12.

Quan, Weize, et al.. (2022). Dense Modality Interaction Network for Audio-Visual Event Localization. IEEE Transactions on Multimedia. 25. 2734–2748. 15 indexed citations

13.

Zhang, Ruisong, Weize Quan, Yong Zhang, Jue Wang, & Dong‐Ming Yan. (2022). W-Net: Structure and Texture Interaction for Image Inpainting. IEEE Transactions on Multimedia. 25. 7299–7310. 14 indexed citations

14.

Quan, Weize, et al.. (2022). Bi-Directional Modality Fusion Network For Audio-Visual Event Localization. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4868–4872. 7 indexed citations

15.

Wang, Chaoqun, et al.. (2021). Scene text removal via cascaded text stroke detection and erasing. Computational Visual Media. 8(2). 273–287. 12 indexed citations

16.

Quan, Weize, Kai Wang, Dong‐Ming Yan, Xiaopeng Zhang, & Denis Pellerin. (2020). Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images. Forensic Science International Digital Investigation. 35. 301023–301023. 12 indexed citations

17.

Quan, Weize, et al.. (2020). Pixel‐wise Dense Detector for Image Inpainting. Computer Graphics Forum. 39(7). 471–482. 15 indexed citations

18.

Quan, Weize, et al.. (2020). Distinguishing Computer-Generated Images from Natural Images Using Channel and Pixel Correlation. Journal of Computer Science and Technology. 35(3). 592–602. 26 indexed citations

19.

Quan, Weize, Kai Wang, Dong‐Ming Yan, & Xiaopeng Zhang. (2018). Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks. IEEE Transactions on Information Forensics and Security. 13(11). 2772–2787. 78 indexed citations

20.

Quan, Weize, Dong‐Ming Yan, Jianwei Guo, Weiliang Meng, & Xiaopeng Zhang. (2016). Maximal poisson-disk sampling via sampling radius optimization. 1–2. 4 indexed citations

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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