Shuwei Shi

838 total citations · 1 hit paper
9 papers, 369 citations indexed

About

Shuwei Shi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Molecular Biology. According to data from OpenAlex, Shuwei Shi has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 1 paper in Molecular Biology. Recurrent topics in Shuwei Shi's work include Image and Video Quality Assessment (4 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Shuwei Shi is often cited by papers focused on Image and Video Quality Assessment (4 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Shuwei Shi collaborates with scholars based in China, Australia and Hong Kong. Shuwei Shi's co-authors include Yujiu Yang, Tianhe Wu, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Bo Zhao, Yajun Chen, Weihao Xia and Yifan Chen and has published in prestigious journals such as Sensors, Frontiers in Neurology and International Journal of General Medicine.

In The Last Decade

Shuwei Shi

9 papers receiving 363 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.

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

2022 197 citations Tianhe Wu, Shuwei Shi et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuwei Shi China	6	231	124	58	22	20	9	369
Jarbas Joaci de Mesquita Sá Brazil	11	187 0.8×	58 0.5×	82 1.4×	9 0.4×	54 2.7×	18	297
Vladimir Y. Mariano Philippines	7	169 0.7×	40 0.3×	79 1.4×	33 1.5×	24 1.2×	41	310
Dengwen Zhou China	11	384 1.7×	242 2.0×	35 0.6×	21 1.0×	27 1.4×	22	483
Wenyan Pan China	7	225 1.0×	46 0.4×	60 1.0×	16 0.7×	67 3.4×	12	359
Wan Nural Jawahir Hj Wan Yussof Malaysia	7	340 1.5×	150 1.2×	17 0.3×	29 1.3×	21 1.1×	23	411
Asem Khmag Libya	11	378 1.6×	271 2.2×	23 0.4×	37 1.7×	30 1.5×	40	460
Romulus Terebeş Romania	9	89 0.4×	52 0.4×	91 1.6×	22 1.0×	31 1.6×	44	284
Weijia Wu China	9	137 0.6×	40 0.3×	21 0.4×	15 0.7×	81 4.0×	44	266
H.M.G. Stokman Netherlands	9	293 1.3×	113 0.9×	13 0.2×	12 0.5×	22 1.1×	20	373

Countries citing papers authored by Shuwei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Shuwei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuwei Shi. A scholar is included among the top collaborators of Shuwei Shi 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 Shuwei Shi. Shuwei Shi 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:

9 of 9 papers shown

1.

Shi, Shuwei, et al.. (2025). ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 6887–6895. 1 indexed citations

2.

Xie, Liangbin, Xintao Wang, Shuwei Shi, et al.. (2023). Mitigating Artifacts in Real-World Video Super-resolution Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2956–2964. 12 indexed citations

3.

Liu, Rui, et al.. (2022). Deficits in ascending pain modulation pathways in breast cancer survivors with chronic neuropathic pain: A resting-state fMRI study. Frontiers in Neurology. 13. 959122–959122. 4 indexed citations

4.

Wu, Tianhe, Shuwei Shi, Shanshan Lao, et al.. (2022). MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1190–1199. 197 indexed citations breakdown →

5.

Cao, Mingdeng, et al.. (2022). Attention Probe: Vision Transformer Distillation in the Wild. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2220–2224. 6 indexed citations

6.

Lao, Shanshan, Yuan Gong, Shuwei Shi, et al.. (2022). Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1139–1148. 61 indexed citations

7.

Zhou, Yuxin, et al.. (2021). Nomogram Incorporating the WNT/β-Catenin Signaling Pathway for Predicting the Survival of Cutaneous Melanoma. International Journal of General Medicine. Volume 14. 2751–2761. 4 indexed citations

8.

Shi, Shuwei, Qingyan Bai, Mingdeng Cao, et al.. (2021). Region-Adaptive Deformable Network for Image Quality Assessment. 324–333. 21 indexed citations

9.

Chen, Yajun, et al.. (2020). Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine. Sensors. 21(1). 212–212. 63 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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