Feng Shao

6.3k total citations · 2 hit papers
256 papers, 4.6k citations indexed

About

Feng Shao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Feng Shao has authored 256 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 225 papers in Computer Vision and Pattern Recognition, 118 papers in Media Technology and 28 papers in Signal Processing. Recurrent topics in Feng Shao's work include Image and Video Quality Assessment (123 papers), Advanced Image Fusion Techniques (83 papers) and Visual Attention and Saliency Detection (66 papers). Feng Shao is often cited by papers focused on Image and Video Quality Assessment (123 papers), Advanced Image Fusion Techniques (83 papers) and Visual Attention and Saliency Detection (66 papers). Feng Shao collaborates with scholars based in China, South Korea and Singapore. Feng Shao's co-authors include Gangyi Jiang, Qiuping Jiang, Weisi Lin, Xiangchao Meng, Yo‐Sung Ho, Jayavel Shanmugasundaram, Chavdar Botev, Guo Lin, Mei Yu and Mei Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Feng Shao

244 papers receiving 4.4k 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.

XRANK

2003 430 citations Feng Shao et al. profile →
Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric

2022 182 citations Qiuping Jiang, Chongyi Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Shao China	33	3.4k	1.9k	635	427	399	256	4.6k
Junhui Hou Hong Kong	38	4.8k 1.4×	1.6k 0.9×	386 0.6×	657 1.5×	106 0.3×	207	6.4k
Seiichi Serikawa Japan	26	2.1k 0.6×	900 0.5×	135 0.2×	743 1.7×	256 0.6×	208	3.8k
Mai Xu China	40	3.5k 1.0×	674 0.4×	1.2k 1.8×	509 1.2×	217 0.5×	214	5.6k
Ke Gu China	45	7.4k 2.2×	3.7k 2.0×	330 0.5×	294 0.7×	40 0.1×	168	8.5k
Vikrant Bhateja India	26	1.2k 0.4×	841 0.5×	157 0.2×	481 1.1×	263 0.7×	153	2.4k
Zuoyong Li China	28	2.0k 0.6×	801 0.4×	166 0.3×	817 1.9×	140 0.4×	186	3.3k
Qingbo Wu China	30	2.6k 0.8×	839 0.4×	426 0.7×	667 1.6×	415 1.0×	223	3.5k
Xin Yang China	27	2.4k 0.7×	540 0.3×	107 0.2×	587 1.4×	194 0.5×	230	3.7k
Xiaomin Yang China	26	1.8k 0.5×	1.5k 0.8×	319 0.5×	203 0.5×	80 0.2×	175	3.1k
Zhijun Fang China	27	2.0k 0.6×	456 0.2×	206 0.3×	650 1.5×	252 0.6×	162	3.0k

Countries citing papers authored by Feng Shao

Since Specialization

Citations

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

Fields of papers citing papers by Feng Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shao

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

Shao, Feng, et al.. (2025). Multi-view stereo with cross-scale feature fusion strategy and hybrid depth estimation. Displays. 90. 103128–103128. 1 indexed citations

Jiang, Qiuping, et al.. (2025). Deep Underwater Image Quality Assessment With Explicit Degradation Awareness Embedding. IEEE Transactions on Image Processing. 34. 1297–1310. 10 indexed citations

Shao, Feng, et al.. (2024). AFNet: Asymmetric fusion network for monocular panorama depth estimation. Displays. 84. 102744–102744. 1 indexed citations

Meng, Xiangchao, et al.. (2024). CIG-STF: Change Information Guided Spatiotemporal Fusion for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 4 indexed citations

Shao, Feng, et al.. (2024). BGDFNet: Bidirectional Gated and Dynamic Fusion Network for RGB-T Crowd Counting in Smart City System. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 9 indexed citations

Chen, Hongjie, Feng Shao, Xiongli Chai, & Hangwei Chen. (2023). Progressive spatial-angular feature enhancement network for light field image super-resolution. Displays. 79. 102501–102501. 2 indexed citations

Yan, X. H., Feng Shao, Hangwei Chen, & Qiuping Jiang. (2023). Hybrid CNN-transformer based meta-learning approach for personalized image aesthetics assessment. Journal of Visual Communication and Image Representation. 98. 104044–104044. 4 indexed citations

Shao, Feng, et al.. (2023). Jointly Texture Enhanced and Stereo Captured Network for Stereo Image Super-Resolution. Pattern Recognition Letters. 167. 141–148. 6 indexed citations

Shao, Feng, et al.. (2023). Hallucinated-PQA: No reference point cloud quality assessment via injecting pseudo-reference features. Expert Systems with Applications. 243. 122953–122953. 7 indexed citations

10.

Chai, Xiongli, et al.. (2023). TCCL-Net: Transformer-Convolution Collaborative Learning Network for Omnidirectional Image Super-Resolution. Knowledge-Based Systems. 274. 110625–110625. 20 indexed citations

11.

Jiang, Qiuping, Zhentao Liu, Ke Gu, et al.. (2022). Single Image Super-Resolution Quality Assessment: A Real-World Dataset, Subjective Studies, and an Objective Metric. IEEE Transactions on Image Processing. 31. 2279–2294. 89 indexed citations

12.

Jiang, Qiuping, Zhentao Liu, Shiqi Wang, Feng Shao, & Weisi Lin. (2022). Toward Top-Down Just Noticeable Difference Estimation of Natural Images. IEEE Transactions on Image Processing. 31. 3697–3712. 37 indexed citations

13.

Meng, Xiangchao, Feng Shao, Huanfeng Shen, et al.. (2020). A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation. IEEE Geoscience and Remote Sensing Magazine. 9(1). 18–52. 129 indexed citations

14.

Jiang, Qiuping, Wei Zhou, Xiongli Chai, et al.. (2020). A Full-Reference Stereoscopic Image Quality Measurement Via Hierarchical Deep Feature Degradation Fusion. IEEE Transactions on Instrumentation and Measurement. 69(12). 9784–9796. 33 indexed citations

15.

Yang, Jiachen, Qinggang Meng, Maurizio Murroni, Shiqi Wang, & Feng Shao. (2020). IEEE Access Special Section Editorial: Biologically Inspired Image Processing Challenges and Future Directions. IEEE Access. 8. 147459–147462. 3 indexed citations

16.

Fu, Randi, et al.. (2020). A SAR-to-Optical Image Translation Method Based on Conditional Generation Adversarial Network (cGAN). IEEE Access. 8. 60338–60343. 54 indexed citations

17.

Jiang, Qiuping, Wei Gao, Shiqi Wang, et al.. (2020). Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network. IEEE Transactions on Instrumentation and Measurement. 69(10). 7398–7410. 37 indexed citations

18.

Jiang, Qiuping, et al.. (2020). No-Reference Image Contrast Evaluation by Generating Bidirectional Pseudoreferences. IEEE Transactions on Industrial Informatics. 17(9). 6062–6072. 17 indexed citations

19.

Song, Yang, Mei Yu, Gangyi Jiang, Feng Shao, & Zongju Peng. (2017). Video quality assessment using motion-compensated temporal filtering and manifold feature similarity. PLoS ONE. 12(4). e0175798–e0175798. 1 indexed citations

20.

Jiang, Gangyi, et al.. (2008). New view generation method for free-viewpoint video system. WSEAS Transactions on Computers archive. 7(6). 589–598. 3 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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