Yan‐Tsung Peng

3.0k total citations · 2 hit papers
52 papers, 2.0k citations indexed

About

Yan‐Tsung Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Yan‐Tsung Peng has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 21 papers in Media Technology and 4 papers in Signal Processing. Recurrent topics in Yan‐Tsung Peng's work include Image Enhancement Techniques (27 papers), Advanced Image Processing Techniques (24 papers) and Advanced Image Fusion Techniques (18 papers). Yan‐Tsung Peng is often cited by papers focused on Image Enhancement Techniques (27 papers), Advanced Image Processing Techniques (24 papers) and Advanced Image Fusion Techniques (18 papers). Yan‐Tsung Peng collaborates with scholars based in Taiwan, United States and China. Yan‐Tsung Peng's co-authors include Pamela C. Cosman, Keming Cao, Xiangyun Zhao, Chung-Chi Tsai, Bo‐Hao Chen, Jia-Li Yin, Shih-Chia Huang, Fan‐Chieh Cheng, Chia‐Wen Lin and Yen‐Yu Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yan‐Tsung Peng

46 papers receiving 1.9k 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.

Underwater Image Restoration Based on Image Blurriness and Light Absorption

2017 836 citations Yan‐Tsung Peng, Pamela C. Cosman IEEE Transactions on Image Processing profile →
Generalization of the Dark Channel Prior for Single Image Restoration

2018 567 citations Yan‐Tsung Peng, Keming Cao 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
Yan‐Tsung Peng Taiwan	14	1.8k	877	91	86	85	52	2.0k
Miao Yang China	10	1.4k 0.7×	636 0.7×	56 0.6×	82 1.0×	71 0.8×	40	1.6k
Codruta O. Ancuti Belgium	16	2.4k 1.3×	1.4k 1.6×	98 1.1×	50 0.6×	129 1.5×	41	2.5k
Guojia Hou China	18	1.2k 0.7×	547 0.6×	51 0.6×	82 1.0×	108 1.3×	50	1.4k
Erickson R. Nascimento Brazil	16	1.5k 0.8×	544 0.6×	78 0.9×	49 0.6×	65 0.8×	59	1.7k
Chen Gao United States	8	1.4k 0.7×	566 0.6×	62 0.7×	46 0.5×	109 1.3×	18	1.4k
Yinghao Liao China	8	1.9k 1.0×	904 1.0×	78 0.9×	24 0.3×	108 1.3×	20	2.0k
Dehuan Zhang China	18	808 0.4×	353 0.4×	48 0.5×	50 0.6×	50 0.6×	38	1.0k
Kunqian Li China	13	872 0.5×	312 0.4×	22 0.2×	40 0.5×	52 0.6×	41	958
Li-Wei Kang Taiwan	13	1.2k 0.6×	415 0.5×	44 0.5×	48 0.6×	9 0.1×	32	1.3k
Wenda Zhao China	19	819 0.4×	830 0.9×	141 1.5×	39 0.5×	18 0.2×	53	1.2k

Countries citing papers authored by Yan‐Tsung Peng

Since Specialization

Citations

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

Fields of papers citing papers by Yan‐Tsung Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan‐Tsung Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Tsung Peng. A scholar is included among the top collaborators of Yan‐Tsung Peng 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 Yan‐Tsung Peng. Yan‐Tsung Peng 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

Peng, Yan‐Tsung, et al.. (2025). Rain2Avoid: Learning Deraining by Self-Supervision. IEEE Transactions on Multimedia. 27. 4765–4779.

Peng, Yan‐Tsung, et al.. (2025). Improving AI object detection in fire scenes through data augmentation. Journal of Occupational and Environmental Hygiene. 22(10). 788–797.

Ahmad, W. Haj, Yan‐Tsung Peng, & Yuan-Hao Chang. (2025). FAME: a lightweight spatio-temporal network for model attribution of face-swap deepfakes. Expert Systems with Applications. 292. 128571–128571.

Peng, Yan‐Tsung, et al.. (2025). An ODE based neural network approach for PM2.5 forecasting. Scientific Reports. 15(1). 24830–24830.

Lai, Yi‐Ting, et al.. (2024). Fully automated learning and predict price of aquatic products in Taiwan wholesale markets using multiple machine learning and deep learning methods. Aquaculture. 586. 740741–740741. 4 indexed citations

Peng, Yan‐Tsung, et al.. (2024). Image Demoiréing via Multiscale Fusion Networks With Moiré Data Augmentation. IEEE Sensors Journal. 24(12). 20114–20127. 2 indexed citations

Wu, Jiahao, et al.. (2024). ID-Blau: Image Deblurring by Implicit Diffusion-Based reBLurring AUgmentation. 25847–25856. 6 indexed citations

Wang, Jung-Hua, Te‐Hua Hsu, Yan‐Tsung Peng, et al.. (2023). Anomalous behavior recognition of underwater creatures using lite 3D full-convolution network. Scientific Reports. 13(1). 20051–20051. 3 indexed citations

Peng, Yan‐Tsung, et al.. (2023). Rain2Avoid: Self-Supervised Single Image Deraining. 1–5. 1 indexed citations

10.

Zhang, Dehuan, et al.. (2023). Two-Branch Underwater Image Enhancement and Original Resolution Information Optimization Strategy in Ocean Observation. Journal of Marine Science and Engineering. 11(7). 1285–1285. 1 indexed citations

11.

Peng, Yan‐Tsung, et al.. (2022). Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling. Sensors. 22(6). 2168–2168. 17 indexed citations

12.

Peng, Yan‐Tsung, et al.. (2021). Two-Exposure Image Fusion Based on Cross Attention Fusion. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 2 indexed citations

13.

Peng, Yan‐Tsung, et al.. (2021). Blurriness Guided Underwater Salient Object Detection. OCEANS 2021: San Diego – Porto. 1–5. 1 indexed citations

14.

Peng, Yan‐Tsung, et al.. (2021). Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction. Sensors. 22(1). 24–24. 1 indexed citations

15.

Yin, Jia-Li, et al.. (2021). Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7853–7862. 10 indexed citations

16.

Yang, Liqun, et al.. (2020). Model-Based Deep Encoding Based on USB Transmission for Modern Edge Computing Architectures. IEEE Access. 8. 112553–112561. 1 indexed citations

17.

Yin, Jia-Li, Bo‐Hao Chen, Yan‐Tsung Peng, & Chung-Chi Tsai. (2020). Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement. IEEE Transactions on Multimedia. 23. 1049–1059. 14 indexed citations

18.

Peng, Yan‐Tsung, Keming Cao, & Pamela C. Cosman. (2018). Generalization of the Dark Channel Prior for Single Image Restoration. IEEE Transactions on Image Processing. 27(6). 2856–2868. 567 indexed citations breakdown →

19.

Peng, Yan‐Tsung & Pamela C. Cosman. (2017). Underwater Image Restoration Based on Image Blurriness and Light Absorption. IEEE Transactions on Image Processing. 26(4). 1579–1594. 836 indexed citations breakdown →

20.

Peng, Yan‐Tsung, et al.. (2013). A Sub-Image Edge Preservation method for histogram equalization. 1–4. 1 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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