Jiebin Yan

744 total citations
47 papers, 515 citations indexed

About

Jiebin Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jiebin Yan has authored 47 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jiebin Yan's work include Image and Video Quality Assessment (35 papers), Advanced Image Fusion Techniques (19 papers) and Visual Attention and Saliency Detection (19 papers). Jiebin Yan is often cited by papers focused on Image and Video Quality Assessment (35 papers), Advanced Image Fusion Techniques (19 papers) and Visual Attention and Saliency Detection (19 papers). Jiebin Yan collaborates with scholars based in China, Canada and United Kingdom. Jiebin Yan's co-authors include Yuming Fang, Leida Li, Jinjian Wu, Weisi Lin, Jiheng Wang, Qiaohong Li, Wenhui Jiang, Yan Zeng, Jiaying Liu and Zongming Guo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Jiebin Yan

42 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiebin Yan China 14 475 248 46 39 28 47 515
Zisheng Cao Hong Kong 8 680 1.4× 279 1.1× 45 1.0× 47 1.2× 11 0.4× 13 749
Vlad Hosu Germany 10 740 1.6× 273 1.1× 36 0.8× 56 1.4× 28 1.0× 24 795
Shaolin Su China 5 446 0.9× 236 1.0× 19 0.4× 12 0.3× 31 1.1× 12 518
Jingtao Xu China 8 596 1.3× 370 1.5× 37 0.8× 11 0.3× 17 0.6× 12 635
Олег Єремеєв Ukraine 7 960 2.0× 589 2.4× 115 2.5× 28 0.7× 40 1.4× 23 1.0k
Qiaohong Li Singapore 11 963 2.0× 599 2.4× 98 2.1× 33 0.8× 25 0.9× 20 1.0k
YiChang Shih United States 9 613 1.3× 137 0.6× 24 0.5× 20 0.5× 7 0.3× 13 663
Hanwei Zhu China 9 455 1.0× 295 1.2× 11 0.2× 13 0.3× 21 0.8× 25 526
Weilong Hou China 6 356 0.7× 200 0.8× 20 0.4× 26 0.7× 6 0.2× 8 421
Praful Gupta United States 8 418 0.9× 193 0.8× 20 0.4× 8 0.2× 15 0.5× 15 469

Countries citing papers authored by Jiebin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jiebin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiebin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiebin Yan. A scholar is included among the top collaborators of Jiebin Yan 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 Jiebin Yan. Jiebin Yan 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.
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
2.
Yan, Jiebin, et al.. (2025). Towards Scalable and Efficient Full-Reference Omnidirectional Image Quality Assessment. IEEE Signal Processing Letters. 32. 2459–2463.
3.
Yan, Jiebin, et al.. (2025). Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm. ACM Transactions on Multimedia Computing Communications and Applications. 21(5). 1–19. 1 indexed citations
4.
Zuo, Yifan, Yuqi Hu, Yaping Xu, et al.. (2025). Learning Guided Implicit Depth Function With Scale-Aware Feature Fusion. IEEE Transactions on Image Processing. 34. 3309–3322. 5 indexed citations
5.
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.
6.
Yan, Jiebin, et al.. (2025). Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images. IEEE Transactions on Multimedia. 27. 2695–2707. 1 indexed citations
7.
Yan, Jiebin, et al.. (2025). Opinion-unaware blind stereoscopic image quality assessment: A comprehensive study. Pattern Recognition. 167. 111749–111749.
8.
Yan, Jiebin, et al.. (2025). Max360IQ: Blind omnidirectional image quality assessment with multi-axis attention. Pattern Recognition. 162. 111429–111429. 2 indexed citations
9.
Yan, Jiebin, et al.. (2025). Omnidirectional Image Quality Captioning: A Large-Scale Database and a New Model. IEEE Transactions on Image Processing. 34. 1326–1339. 2 indexed citations
10.
Shu, Lei, et al.. (2024). A survey of super-resolution image quality assessment. Neurocomputing. 621. 129279–129279. 2 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.
Yan, Jiebin, et al.. (2024). Viewport-independent and deformation-unaware no-reference omnidirectional image quality assessment. Journal of Image and Graphics. 29(12). 3699–3711. 1 indexed citations
13.
Yan, Jiebin, et al.. (2024). Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images. IEEE Transactions on Circuits and Systems for Video Technology. 35(3). 2782–2793. 3 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.
Yan, Jiebin, et al.. (2022). The review of distortion-related image quality assessment. Journal of Image and Graphics. 27(5). 1430–1466. 13 indexed citations
16.
Fang, Yuming, et al.. (2021). Progress in no-reference image quality assessment. Journal of Image and Graphics. 26(2). 265–286. 6 indexed citations
17.
Fang, Yuming, Yan Zeng, Wenhui Jiang, Hanwei Zhu, & Jiebin Yan. (2021). Superpixel-Based Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes. IEEE Transactions on Image Processing. 30. 2526–2537. 20 indexed citations
18.
Fang, Yuming, et al.. (2019). Learning a No-Reference Quality Predictor of Stereoscopic Images by Visual Binocular Properties. IEEE Access. 7. 132649–132661. 11 indexed citations
19.
Fang, Yuming, Jiebin Yan, Leida Li, & Jinjian Wu. (2017). No reference quality assessment for screen content images. 22. 169–174. 6 indexed citations
20.
Fang, Yuming, Jiebin Yan, Jiaying Liu, et al.. (2017). Objective Quality Assessment of Screen Content Images by Uncertainty Weighting. IEEE Transactions on Image Processing. 26(4). 2016–2027. 80 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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