Yuming Fang

10.6k total citations · 3 hit papers
272 papers, 7.6k citations indexed

About

Yuming Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yuming Fang has authored 272 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Computer Vision and Pattern Recognition, 79 papers in Media Technology and 17 papers in Artificial Intelligence. Recurrent topics in Yuming Fang's work include Image and Video Quality Assessment (129 papers), Visual Attention and Saliency Detection (88 papers) and Advanced Image Fusion Techniques (64 papers). Yuming Fang is often cited by papers focused on Image and Video Quality Assessment (129 papers), Visual Attention and Saliency Detection (88 papers) and Advanced Image Fusion Techniques (64 papers). Yuming Fang collaborates with scholars based in China, Singapore and Hong Kong. Yuming Fang's co-authors include Weisi Lin, Shiqi Wang, Zhou Wang, Jiaying Liu, Zhijun Fang, Chia‐Wen Lin, Kede Ma, Wenhan Yang, Qiaohong Li and Leida Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain Research and IEEE Transactions on Industrial Electronics.

In The Last Decade

Yuming Fang

250 papers receiving 7.5k citations

Hit Papers

align trajectories sort by overperformance

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.

From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

2020 397 citations Shiqi Wang, Yuming Fang et al. profile →
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

2014 291 citations Yuming Fang, Zhou Wang et al. IEEE Signal Processing Letters profile →
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

2020 231 citations Yuming Fang, Sam Kwong et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuming Fang China	45	6.9k	2.7k	512	393	383	272	7.6k
Yu‐Wing Tai China	49	6.5k 0.9×	2.1k 0.8×	787 1.5×	151 0.4×	124 0.3×	138	7.4k
Xiaohui Shen United States	42	8.7k 1.3×	1.3k 0.5×	1.5k 3.0×	407 1.0×	495 1.3×	99	9.9k
Shai Avidan Israel	42	9.8k 1.4×	1.9k 0.7×	771 1.5×	168 0.4×	166 0.4×	128	10.7k
King Ngi Ngan Hong Kong	41	6.3k 0.9×	1.2k 0.4×	383 0.7×	291 0.7×	188 0.5×	378	7.1k
S.S. Hemami United States	27	5.5k 0.8×	1.2k 0.5×	189 0.4×	791 2.0×	582 1.5×	126	5.9k
Jingyi Yu China	37	4.4k 0.6×	817 0.3×	306 0.6×	209 0.5×	224 0.6×	219	5.3k
Junhui Hou Hong Kong	38	4.8k 0.7×	1.6k 0.6×	657 1.3×	51 0.1×	139 0.4×	207	6.4k
Dong Wang China	36	5.0k 0.7×	880 0.3×	544 1.1×	191 0.5×	486 1.3×	149	6.0k
Hongliang Li China	35	4.1k 0.6×	1.1k 0.4×	479 0.9×	175 0.4×	79 0.2×	215	4.5k
Qingxiong Yang Hong Kong	35	5.4k 0.8×	1.2k 0.5×	188 0.4×	108 0.3×	105 0.3×	76	5.9k

Countries citing papers authored by Yuming Fang

Since Specialization

Citations

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

Fields of papers citing papers by Yuming Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuming Fang

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

Yan, Jiebin, et al.. (2025). Hierarchical boundary feature alignment network for video salient object detection. Journal of Visual Communication and Image Representation. 109. 104435–104435. 1 indexed citations

Chen, Qiqiang, et al.. (2025). Perceptual Transform Fusion of Infrared and Visible Images. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 11935–11949. 1 indexed citations

Zhu, Hanwei, et al.. (2025). Perceptual Quality Assessment of 360° Images Based on Generative Scanpath Representation. IEEE Transactions on Image Processing. 34. 4485–4499. 1 indexed citations

Liu, Weide, Jingwen Hou, Jingwen Hou, et al.. (2025). Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training. Neurocomputing. 640. 130318–130318.

Yan, Jiebin, et al.. (2025). Towards Scalable and Efficient Full-Reference Omnidirectional Image Quality Assessment. IEEE Signal Processing Letters. 32. 2459–2463.

Yan, Jiebin, et al.. (2025). Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment. ACM Transactions on Multimedia Computing Communications and Applications. 21(5). 1–23.

Wang, Tao, Wenying Wen, Xiangli Xiao, et al.. (2025). Beyond Privacy: Generating Privacy-Preserving Faces Supporting Robust Image Authentication. IEEE Transactions on Information Forensics and Security. 20. 2564–2576. 2 indexed citations

Chen, Chenglizhao, et al.. (2025). UNI-IQA: A Unified Approach for Mutual Promotion of Natural and Screen Content Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6371–6385.

Xu, Liming, et al.. (2024). Latest advances and clinical application prospects of resveratrol therapy for neurocognitive disorders. Brain Research. 1830. 148821–148821. 2 indexed citations

10.

Jiang, Wenhui, et al.. (2024). Comprehensive Visual Grounding for Video Description. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2552–2560. 1 indexed citations

11.

Yan, Jiebin, et al.. (2024). Blind Quality Assessment of Panoramic Images Based on Multiple Viewport Sequences. 1–5. 1 indexed citations

12.

Zhu, Hanwei, et al.. (2024). 2AFC Prompting of Large Multimodal Models for Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12873–12878. 7 indexed citations

13.

Shi, Tengfei, Chenglizhao Chen, Zhenyu Wu, Aimin Hao, & Yuming Fang. (2024). Improving Image Aesthetic Assessment via Multiple Image Joint Learning. ACM Transactions on Multimedia Computing Communications and Applications. 20(11). 1–24. 1 indexed citations

14.

Zuo, Yifan, Yaping Xu, Yifeng Zeng, et al.. (2023). A² GSTran: Depth Map Super-Resolution via Asymmetric Attention With Guidance Selection. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4668–4681. 3 indexed citations

15.

Huang, Xiaoshui, et al.. (2022). GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection. IEEE Robotics and Automation Letters. 7(4). 12585–12592. 12 indexed citations

16.

Pan, Zhaoqing, Hao Zhang, Jianjun Lei, et al.. (2022). DACNN: Blind Image Quality Assessment via a Distortion-Aware Convolutional Neural Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7518–7531. 57 indexed citations

17.

Gao, Yongbin, Zhijun Fang, Yuming Fang, et al.. (2021). Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1751–1766. 44 indexed citations

18.

Lei, Jianjun, et al.. (2021). Stereoscopic Image Retargeting Based on Deep Convolutional Neural Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(12). 4759–4770. 9 indexed citations

19.

Zuo, Yifan, et al.. (2020). Frequency-Dependent Depth Map Enhancement via Iterative Depth-Guided Affine Transformation and Intensity-Guided Refinement. IEEE Transactions on Multimedia. 23. 772–783. 25 indexed citations

20.

Yang, Yong, Jiahua Wu, Shuying Huang, et al.. (2018). Multimodal Medical Image Fusion Based on Fuzzy Discrimination With Structural Patch Decomposition. IEEE Journal of Biomedical and Health Informatics. 23(4). 1647–1660. 62 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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