Yurui Ren

1.9k total citations
12 papers, 887 citations indexed

About

Yurui Ren is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yurui Ren has authored 12 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yurui Ren's work include Advanced Vision and Imaging (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Numerical Analysis Techniques (2 papers). Yurui Ren is often cited by papers focused on Advanced Vision and Imaging (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Numerical Analysis Techniques (2 papers). Yurui Ren collaborates with scholars based in China and United States. Yurui Ren's co-authors include Ge Li, Thomas H. Li, Shan Liu, Zhenqiang Ying, Wenmin Wang, Ronggang Wang, Xiaoming Yu, Ruonan Zhang, Yuanqi Chen and Ge Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Yurui Ren

12 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yurui Ren China	9	830	224	77	65	38	12	887
Tianfan Xue Hong Kong	14	551 0.7×	151 0.7×	71 0.9×	59 0.9×	17 0.4×	36	640
Qi Mo United States	6	323 0.4×	143 0.6×	83 1.1×	33 0.5×	52 1.4×	8	430
Peter Sand United States	10	654 0.8×	133 0.6×	107 1.4×	111 1.7×	32 0.8×	11	727
Zhuo Su China	14	469 0.6×	130 0.6×	43 0.6×	63 1.0×	8 0.2×	87	599
YiChang Shih United States	9	613 0.7×	137 0.6×	125 1.6×	40 0.6×	11 0.3×	13	663
Alex Rav-Acha Israel	16	1.5k 1.8×	297 1.3×	140 1.8×	59 0.9×	133 3.5×	24	1.5k
Bruce Culbertson United States	10	374 0.5×	107 0.5×	94 1.2×	41 0.6×	40 1.1×	19	477
Xueming Yu United States	12	578 0.7×	162 0.7×	270 3.5×	164 2.5×	17 0.4×	26	729
Yuki Endo Japan	10	399 0.5×	55 0.2×	90 1.2×	39 0.6×	13 0.3×	30	466
Chong Mou China	9	506 0.6×	89 0.4×	74 1.0×	111 1.7×	40 1.1×	18	676

Countries citing papers authored by Yurui Ren

Since Specialization

Citations

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

Fields of papers citing papers by Yurui Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yurui Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yurui Ren. A scholar is included among the top collaborators of Yurui Ren 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 Yurui Ren. Yurui Ren 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:

12 of 12 papers shown

Ren, Yurui, et al.. (2022). Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13525–13534. 42 indexed citations

Ren, Yurui, et al.. (2022). Flow-Based Point Cloud Completion Network with Adversarial Refinement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2559–2563. 2 indexed citations

Li, Dingquan, et al.. (2022). Deep Geometry Post-Processing for Decompressed Point Clouds. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 13 indexed citations

Ren, Yurui, Yubo Wu, Thomas H. Li, Shan Liu, & Ge Li. (2021). Combining Attention with Flow for Person Image Synthesis. 3737–3745. 9 indexed citations

Ren, Yurui, Ge Li, Yuanqi Chen, Thomas H. Li, & Shan Liu. (2021). PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13739–13748. 109 indexed citations

Zhong, Jia-Xing, et al.. (2020). Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. 798–806. 15 indexed citations

Ren, Yurui, Ge Li, Shan Liu, & Thomas H. Li. (2020). Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. IEEE Transactions on Image Processing. 29. 8622–8635. 50 indexed citations

Zhang, Ruonan, et al.. (2019). Base-detail image inpainting.. British Machine Vision Conference. 195. 3 indexed citations

Ren, Yurui, Xiaoming Yu, Ruonan Zhang, et al.. (2019). StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. 181–190. 244 indexed citations

10.

Ren, Yurui, Zhenqiang Ying, Thomas H. Li, & Ge Li. (2018). LECARM: Low-Light Image Enhancement Using the Camera Response Model. IEEE Transactions on Circuits and Systems for Video Technology. 29(4). 968–981. 171 indexed citations

11.

Ying, Zhenqiang, Ge Li, Yurui Ren, Ronggang Wang, & Wenmin Wang. (2017). A New Low-Light Image Enhancement Algorithm Using Camera Response Model. 3015–3022. 228 indexed citations

12.

Ren, Yurui, et al.. (2010). Improving the piston assembly by machine vision recognition technology. 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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