Guanying Chen

1.1k total citations
20 papers, 370 citations indexed

About

Guanying Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Guanying Chen has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computational Mechanics. Recurrent topics in Guanying Chen's work include Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (6 papers). Guanying Chen is often cited by papers focused on Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (6 papers). Guanying Chen collaborates with scholars based in China, Hong Kong and United States. Guanying Chen's co-authors include Kenneth K. Wong, Kai Han, Yasuyuki Matsushita, Boxin Shi, Chaofeng Chen, Shuguang Cui, Zhetong Liang, Shi Guo, Cheng‐Chi Wang and Lei Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Guanying Chen

20 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanying Chen China 11 286 135 103 43 31 20 370
Alireza Javaheri Portugal 7 168 0.6× 107 0.8× 158 1.5× 75 1.7× 77 2.5× 8 272
Jiapeng Tang China 8 214 0.7× 168 1.2× 217 2.1× 61 1.4× 11 0.4× 17 350
Haotong Lin China 7 229 0.8× 87 0.6× 78 0.8× 41 1.0× 14 0.5× 15 337
Nigel Morris Canada 7 228 0.8× 77 0.6× 36 0.3× 38 0.9× 14 0.5× 14 320
Suryansh Kumar United States 11 248 0.9× 67 0.5× 50 0.5× 46 1.1× 28 0.9× 25 311
Zen-Chung Shih Taiwan 11 259 0.9× 259 1.9× 151 1.5× 20 0.5× 10 0.3× 37 398
Alex Evans United Kingdom 5 173 0.6× 135 1.0× 109 1.1× 25 0.6× 8 0.3× 7 234
Zhao Dong United States 13 393 1.4× 424 3.1× 248 2.4× 41 1.0× 36 1.2× 33 515
Remo Ziegler Switzerland 13 584 2.0× 324 2.4× 231 2.2× 69 1.6× 13 0.4× 26 684
Robert J. Valkenburg New Zealand 6 185 0.6× 27 0.2× 55 0.5× 79 1.8× 16 0.5× 12 263

Countries citing papers authored by Guanying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guanying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanying Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guanying Chen. A scholar is included among the top collaborators of Guanying Chen 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 Guanying Chen. Guanying Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Guanying, et al.. (2025). Improving fine-grained food classification using deep residual learning and selective state space models. PLoS ONE. 20(5). e0322695–e0322695. 1 indexed citations
2.
Shen, Cong, Ziqi Zhou, Tengling Ye, et al.. (2025). Optimization of defect regulation parameters in CsPbI3 perovskite solar cells via machine learning-assisted response surface methodology. Renewable Energy. 251. 123426–123426. 1 indexed citations
3.
Chen, Guanying, et al.. (2024). Efficient large-scale scene representation with a hybrid of high-resolution grid and plane features. Pattern Recognition. 158. 111001–111001. 12 indexed citations
4.
Wang, Yancheng, Yutao Li, Guanying Chen, & Chuan Huang. (2024). Channel Knowledge Maps Construction Based on Point Cloud Environment Information. 1–5. 1 indexed citations
5.
Qiu, Lingteng, Guanying Chen, Xiaodong Gu, et al.. (2024). RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. 9914–9925. 9 indexed citations
6.
Chen, Guanying, et al.. (2023). Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition. 1249–1257. 1 indexed citations
7.
Xu, Mutian, Yushuang Wu, Chenming Zhu, et al.. (2023). MVImgNet: A Large-scale Dataset of Multi-view Images. 9150–9161. 28 indexed citations
8.
Guo, Xiang, Jiadai Sun, Yuchao Dai, et al.. (2023). Forward Flow for Novel View Synthesis of Dynamic Scenes. 15976–15987. 18 indexed citations
9.
Qiu, Lingteng, et al.. (2023). REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos. 4637–4646. 13 indexed citations
10.
Chen, Zhenfang, et al.. (2023). Deep Face Video Inpainting via UV Mapping. IEEE Transactions on Image Processing. 32. 1145–1157. 10 indexed citations
11.
Wang, Cheng‐Chi, Ping‐Huan Kuo, & Guanying Chen. (2022). Machine Learning Prediction of Turning Precision Using Optimized XGBoost Model. Applied Sciences. 12(15). 7739–7739. 19 indexed citations
12.
Chen, Guanying, et al.. (2022). JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2719–2729. 17 indexed citations
13.
Qiu, Lingteng, et al.. (2022). ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2273–2282. 10 indexed citations
14.
Chen, Guanying, Chaofeng Chen, Shi Guo, et al.. (2021). HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2482–2491. 37 indexed citations
15.
Chen, Guanying, Kai Han, Boxin Shi, Yasuyuki Matsushita, & Kenneth K. Wong. (2020). Deep Photometric Stereo for Non-Lambertian Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 129–142. 56 indexed citations
16.
Chen, Guanying, Kai Han, & Kenneth K. Wong. (2019). Learning Transparent Object Matting. International Journal of Computer Vision. 127(10). 1527–1544. 3 indexed citations
17.
Chen, Guanying, Kai Han, Boxin Shi, Yasuyuki Matsushita, & Kenneth K. Wong. (2019). Self-Calibrating Deep Photometric Stereo Networks. 8731–8739. 79 indexed citations
18.
Chen, Guanying, Kai Han, & Kenneth K. Wong. (2018). TOM-Net: Learning Transparent Object Matting from a Single Image. 9233–9241. 50 indexed citations
19.
Cao, Ning & Guanying Chen. (2017). The Role of Gesture in the Second Language Learning and Teaching. American Journal of Applied Sciences. 14(12). 1070–1074. 4 indexed citations
20.
Chen, Guanying, Wen‐Shan Duan, & Shudong Zhang. (2002). Real-time observing of the phase information of object with incoherent illumination. Journal of Optics A Pure and Applied Optics. 4(3). 320–323. 1 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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