Yun Liu

2.4k total citations · 1 hit paper
92 papers, 1.4k citations indexed

About

Yun Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yun Liu has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 17 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Yun Liu's work include Image Enhancement Techniques (32 papers), Advanced Image Fusion Techniques (16 papers) and Advanced Image Processing Techniques (15 papers). Yun Liu is often cited by papers focused on Image Enhancement Techniques (32 papers), Advanced Image Fusion Techniques (16 papers) and Advanced Image Processing Techniques (15 papers). Yun Liu collaborates with scholars based in China, Singapore and United States. Yun Liu's co-authors include Ye Tian, Tun Liu, Erkang Chen, Sixiang Chen, Minghui Wang, Hao Zhou, Anzhi Wang, Hailing Xiong, Xin Li and Hao Cui and has published in prestigious journals such as Environmental Pollution, Journal of Medicinal Chemistry and IEEE Access.

In The Last Decade

Yun Liu

81 papers receiving 1.4k 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.

VNDHR: Variational Single Nighttime Image Dehazing for Enhancing Visibility in Intelligent Transportation Systems via Hybrid Regularization

2025 25 citations Yun Liu, Anzhi Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun Liu China	21	688	309	181	178	154	92	1.4k
Siyuan Li China	19	748 1.1×	345 1.1×	170 0.9×	45 0.3×	164 1.1×	123	1.6k
Chen Yang China	20	460 0.7×	231 0.7×	63 0.3×	72 0.4×	147 1.0×	86	1.5k
Wencheng Wang China	24	1.1k 1.5×	671 2.2×	169 0.9×	59 0.3×	102 0.7×	106	2.4k
Feng Liu China	28	1.1k 1.6×	167 0.5×	95 0.5×	49 0.3×	145 0.9×	168	2.6k
Tengfei Zhang China	14	640 0.9×	308 1.0×	54 0.3×	273 1.5×	140 0.9×	43	1.5k
Dongyan Guo China	14	1.1k 1.5×	121 0.4×	93 0.5×	49 0.3×	154 1.0×	52	1.6k
Guoqing Wang China	21	616 0.9×	150 0.5×	60 0.3×	27 0.2×	212 1.4×	107	1.5k
Xiaoqiang Zhang China	22	1.2k 1.8×	81 0.3×	126 0.7×	55 0.3×	231 1.5×	124	1.7k
Tianyu Guo China	23	1.4k 2.1×	535 1.7×	108 0.6×	37 0.2×	140 0.9×	73	2.6k

Countries citing papers authored by Yun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Liu

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

Liu, Yun, et al.. (2025). Low-Light Image Enhancement Using a Retinex-Based Variational Model With Weighted $L_{p}$ Norm Constraint. IEEE Transactions on Multimedia. 28. 152–166.

2.

Li, Tao, Yun Liu, Wenqi Ren, Babak Shiri, & Weisi Lin. (2025). Single Image Dehazing Using Fuzzy Region Segmentation and Haze Density Decomposition. IEEE Transactions on Circuits and Systems for Video Technology. 35(10). 9964–9978. 6 indexed citations

3.

Lin, Weisi, et al.. (2025). CLIP-HNet: Hybrid Network with Cross-Modal Guidance for Self-Supervised Remote Sensing Dehazing. DR-NTU (Nanyang Technological University). 8968–8977.

4.

Wang, Bo, et al.. (2025). A self-prompt based dual-domain network for nighttime flare removal. Engineering Applications of Artificial Intelligence. 144. 110103–110103. 1 indexed citations

5.

Chen, Erkang, et al.. (2024). Mutual learning for domain adaptation: Self-distillation image dehazing network with sample-cycle. Displays. 87. 102904–102904.

6.

Peng, Jian, et al.. (2024). SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks. Information Sciences. 674. 120730–120730.

7.

Teng, Qi, et al.. (2024). Innovative Dual-Decoupling CNN With Layer-Wise Temporal-Spatial Attention for Sensor-Based Human Activity Recognition. IEEE Journal of Biomedical and Health Informatics. 29(2). 1035–1048. 9 indexed citations

8.

Chen, Erkang, Sixiang Chen, Ye Tian, & Yun Liu. (2024). Degradation-adaptive neural network for jointly single image dehazing and desnowing. Frontiers of Computer Science. 18(2). 20 indexed citations

9.

Liu, Yun, et al.. (2024). Haze-Aware Attention Network for Single-Image Dehazing. Applied Sciences. 14(13). 5391–5391. 7 indexed citations

10.

Liu, Yun, et al.. (2024). SNER: Semi-Supervised Named Entity Recognition for Large Volume of Diabetes Data. IEEE Journal of Biomedical and Health Informatics. 29(6). 3942–3955. 1 indexed citations

11.

Chen, Sixiang, Ye Tian, Haoyu Chen, et al.. (2023). Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4269–4280. 6 indexed citations

12.

Zhou, Hao, et al.. (2023). Physical-priors-guided DehazeFormer. Knowledge-Based Systems. 266. 110410–110410. 17 indexed citations

13.

Liu, Yun, et al.. (2023). Privacy‐preserving scheme of distributed sensor networks with dynamic code. Internet Technology Letters. 7(3). 1 indexed citations

14.

Tian, Ye, Sixiang Chen, Yun Liu, et al.. (2023). Sequential Affinity Learning for Video Restoration. 4147–4156. 2 indexed citations

15.

Chen, Sixiang, et al.. (2023). CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4228–4239. 6 indexed citations

16.

Liu, Yun, et al.. (2023). NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer. 4119–4128. 55 indexed citations

17.

Liu, Yun, Rui Zhang, Feiping Nie, Xuelong Li, & Chris Ding. (2019). Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3269–3279. 15 indexed citations

18.

Liu, Yun, et al.. (2014). An Algorithm to Detect the Crack in the Tunnel Based on the Image Processing. 860–863. 15 indexed citations

19.

Wang, Chuanxu, Yun Liu, & Wanqing Li. (2011). Research of unsupervised posture modeling and action recognition based on spatial-temporal interesting points. Dianzi xuebao. 1751–1756. 1 indexed citations

20.

Liu, Yun. (2003). Fuzzy Logic and Fuzzy Reasoning Based on Triangular Norms.

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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