Ren Yang

2.3k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Ren Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Ren Yang has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 3 papers in Media Technology. Recurrent topics in Ren Yang's work include Advanced Image Processing Techniques (15 papers), Video Coding and Compression Technologies (13 papers) and Advanced Vision and Imaging (11 papers). Ren Yang is often cited by papers focused on Advanced Image Processing Techniques (15 papers), Video Coding and Compression Technologies (13 papers) and Advanced Vision and Imaging (11 papers). Ren Yang collaborates with scholars based in China, Switzerland and United Kingdom. Ren Yang's co-authors include Mai Xu, Zulin Wang, Zhenyu Guan, Radu Timofte, Luc Van Gool, Tie Liu, Xin Deng, Fabian Mentzer, Tianyi Li and Qunliang Xing and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ren Yang

28 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

R2RNet: Low-light image enhancement via Real-low to Real-normal Network

2022 198 citations Hai Jiang, Xuan Zhu et al. Journal of Visual Communication and Image Representation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ren Yang China	13	1.2k	489	164	81	41	29	1.3k
Huihui Bai China	18	988 0.8×	285 0.6×	290 1.8×	90 1.1×	42 1.0×	126	1.2k
Shuai Wan China	19	1.1k 1.0×	573 1.2×	336 2.0×	41 0.5×	71 1.7×	140	1.4k
Zhengxue Cheng Japan	11	943 0.8×	270 0.6×	95 0.6×	104 1.3×	60 1.5×	39	1.1k
Xiao Lin China	16	1.0k 0.9×	740 1.5×	46 0.3×	80 1.0×	41 1.0×	65	1.2k
Simone Milani Italy	19	1.2k 1.0×	307 0.6×	116 0.7×	101 1.2×	81 2.0×	112	1.4k
Sanghoon Sull South Korea	13	570 0.5×	212 0.4×	70 0.4×	85 1.0×	21 0.5×	57	708
Nannan Wang China	20	1.2k 1.0×	204 0.4×	81 0.5×	129 1.6×	36 0.9×	60	1.4k
Bo Peng China	20	757 0.6×	128 0.3×	203 1.2×	165 2.0×	46 1.1×	90	1.0k
Jianyi Wang China	9	496 0.4×	77 0.2×	142 0.9×	64 0.8×	29 0.7×	25	663

Countries citing papers authored by Ren Yang

Since Specialization

Citations

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

Fields of papers citing papers by Ren Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren Yang

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

1.

Zhang, Ying, Zhenyan Chen, Ren Yang, et al.. (2025). N-Acetylcysteine as a Host-Directed Therapy Against Clarithromycin-Resistant Mycobacterium abscessus. Pathogens. 14(4). 302–302. 1 indexed citations

2.

Liu, Yifei, Xinyao Wang, Hangxing Ren, et al.. (2025). Core–Shell IrPt Nanoalloy on La/Ni–Co3O4 for High-Performance Bifunctional PEM Electrolysis with Ultralow Noble Metal Loading. Nano-Micro Letters. 17(1). 329–329. 5 indexed citations

3.

Yang, Ren, et al.. (2024). Towards Stabilized Few-Shot Object Detection with Less Forgetting via Sample Normalization. Sensors. 24(11). 3456–3456. 1 indexed citations

4.

Yang, Menglong, et al.. (2024). A Self-Attention Network for Stereo Matching. 1–10.

5.

Zhang, Xinjie, Ren Yang, Dailan He, et al.. (2024). Boosting Neural Representations for Videos with a Conditional Decoder. 2556–2566. 3 indexed citations

6.

Yang, Ren, et al.. (2024). Cyber-Physical Wireless Networks for Smart Health Monitoring for Elderly Persons. Wireless Personal Communications. 2 indexed citations

7.

Deng, Xin, et al.. (2023). MASIC: Deep Mask Stereo Image Compression. IEEE Transactions on Circuits and Systems for Video Technology. 33(10). 6026–6040. 5 indexed citations

8.

Jiang, Hai, et al.. (2022). R2RNet: Low-light image enhancement via Real-low to Real-normal Network. Journal of Visual Communication and Image Representation. 90. 103712–103712. 198 indexed citations breakdown →

9.

Yang, Ren, Radu Timofte, & Luc Van Gool. (2022). Advancing Learned Video Compression With In-Loop Frame Prediction. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2410–2423. 21 indexed citations

10.

Yang, Ren, Radu Timofte, & Luc Van Gool. (2022). Perceptual Learned Video Compression with Recurrent Conditional GAN. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1537–1544. 26 indexed citations

11.

Lu, Guo, Ren Yang, Shenlong Wang, Shan Liu, & Radu Timofte. (2021). Deep Learning for Visual Data Compression. 5683–5685. 5 indexed citations

12.

Xu, Mai, et al.. (2020). Understanding and Predicting the Memorability of Outdoor Natural Scenes. IEEE Transactions on Image Processing. 29. 4927–4941. 8 indexed citations

13.

Yang, Ren, Fabian Mentzer, Luc Van Gool, & Radu Timofte. (2020). Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. Lirias (KU Leuven). 6627–6636. 137 indexed citations

14.

Guan, Zhenyu, Qunliang Xing, Mai Xu, et al.. (2019). MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 949–963. 177 indexed citations

15.

Deng, Xin, Ren Yang, Mai Xu, & Pier Luigi Dragotti. (2019). Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution. Spiral (Imperial College London). 3076–3085. 53 indexed citations

16.

Li, Tianyi, Mai Xu, Ren Yang, & Xiaoming Tao. (2019). A DenseNet Based Approach for Multi-frame In-loop Filter in HEVC. 270–279. 11 indexed citations

17.

Xu, Mai, et al.. (2018). Understanding and Predicting the Memorability of Natural Scene Images.. arXiv (Cornell University). 1 indexed citations

18.

Yang, Ren, Mai Xu, Tie Liu, Zulin Wang, & Zhenyu Guan. (2018). Enhancing Quality for HEVC Compressed Videos. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2039–2054. 163 indexed citations

19.

Yang, Ren, Mai Xu, Zulin Wang, Yiping Duan, & Xiaoming Tao. (2018). Saliency-Guided Complexity Control for HEVC Decoding. IEEE Transactions on Broadcasting. 64(4). 865–882. 18 indexed citations

20.

Xu, Mai, Tianyi Li, Zulin Wang, et al.. (2018). Reducing Complexity of HEVC: A Deep Learning Approach. IEEE Transactions on Image Processing. 27(10). 5044–5059. 247 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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