Yuda Song

1.1k total citations · 1 hit paper
6 papers, 593 citations indexed

About

Yuda Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Yuda Song has authored 6 papers receiving a total of 593 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 Biomedical Engineering. Recurrent topics in Yuda Song's work include Advanced Image Processing Techniques (6 papers), Image Enhancement Techniques (4 papers) and Advanced Vision and Imaging (2 papers). Yuda Song is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Image Enhancement Techniques (4 papers) and Advanced Vision and Imaging (2 papers). Yuda Song collaborates with scholars based in China. Yuda Song's co-authors include Xin Du and Hui Qian and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Signal Processing Letters.

In The Last Decade

Yuda Song

5 papers receiving 577 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.

Vision Transformers for Single Image Dehazing

2023 522 citations Yuda Song, Hui Qian 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
Yuda Song China	4	544	283	57	31	20	6	593
Yongrui Ma China	5	709 1.3×	354 1.3×	83 1.5×	22 0.7×	15 0.8×	8	752
Mingye Ju China	12	713 1.3×	451 1.6×	81 1.4×	29 0.9×	34 1.7×	34	772
Jiandong Tian China	9	320 0.6×	98 0.3×	26 0.5×	41 1.3×	13 0.7×	39	384
Wei‐Ting Chen Taiwan	9	487 0.9×	181 0.6×	62 1.1×	14 0.5×	25 1.3×	25	559
Laurent Caraffa France	6	416 0.8×	236 0.8×	32 0.6×	16 0.5×	28 1.4×	12	461
Lerenhan Li China	8	743 1.4×	376 1.3×	57 1.0×	23 0.7×	13 0.7×	10	785
Rajeev Yasarla United States	10	543 1.0×	187 0.7×	32 0.6×	30 1.0×	23 1.1×	19	620
Ketan Tang Hong Kong	11	733 1.3×	364 1.3×	40 0.7×	10 0.3×	36 1.8×	38	772

Countries citing papers authored by Yuda Song

Since Specialization

Citations

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

Fields of papers citing papers by Yuda Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuda Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yuda Song. A scholar is included among the top collaborators of Yuda Song 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 Yuda Song. Yuda Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Song, Yuda, et al.. (2023). Vision Transformers for Single Image Dehazing. IEEE Transactions on Image Processing. 32. 1927–1941. 522 indexed citations breakdown →

2.

Song, Yuda, Hui Qian, & Xin Du. (2021). StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4106–4115. 23 indexed citations

3.

Song, Yuda, et al.. (2021). Automatical Enhancement and Denoising of Extremely Low-light Images. 33. 858–865. 1 indexed citations

4.

Song, Yuda, et al.. (2020). Grouped Multi-Scale Network for Real-World Image Denoising. IEEE Signal Processing Letters. 27. 2124–2128. 20 indexed citations

5.

Song, Yuda, et al.. (2020). Model Parameter Learning for Real-Time High-Resolution Image Enhancement. IEEE Signal Processing Letters. 27. 1844–1848. 1 indexed citations

6.

Song, Yuda, et al.. (2019). Dynamic Residual Dense Network for Image Denoising. Sensors. 19(17). 3809–3809. 26 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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