Yunjin Chen

13.9k total citations · 4 hit papers
53 papers, 7.7k citations indexed

About

Yunjin Chen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yunjin Chen has authored 53 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yunjin Chen's work include Image and Signal Denoising Methods (14 papers), Advanced Image Processing Techniques (9 papers) and Sparse and Compressive Sensing Techniques (7 papers). Yunjin Chen is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Advanced Image Processing Techniques (9 papers) and Sparse and Compressive Sensing Techniques (7 papers). Yunjin Chen collaborates with scholars based in China, Austria and Hong Kong. Yunjin Chen's co-authors include Wangmeng Zuo, Lei Zhang, Kai Zhang, Deyu Meng, Thomas Pock, Peter Ochs, Thomas Brox, Wei Yu, Yi Zhang and Jiliu Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Yunjin Chen

51 papers receiving 7.5k citations

Hit Papers

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN... 2014 2026 2018 2022 2017 2016 2018 2014 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjin Chen China 16 5.3k 2.8k 1.2k 1.1k 910 53 7.7k
B. Coll Spain 23 7.8k 1.5× 4.2k 1.5× 1.1k 1.0× 1.1k 1.1× 1.5k 1.6× 51 10.9k
Antoni Buades Spain 28 9.0k 1.7× 4.8k 1.7× 1.3k 1.1× 1.7k 1.6× 1.7k 1.8× 75 12.2k
Kostadin Dabov Finland 8 6.6k 1.2× 3.9k 1.4× 1.2k 1.0× 797 0.8× 1.4k 1.6× 12 7.9k
Alessandro Foi Finland 33 10.0k 1.9× 5.8k 2.1× 1.8k 1.6× 1.3k 1.3× 2.2k 2.4× 94 12.6k
Andrew P. Aitken United Kingdom 9 10.2k 1.9× 4.8k 1.7× 680 0.6× 902 0.9× 507 0.6× 11 12.6k
Zehan Wang China 12 10.4k 1.9× 4.8k 1.7× 725 0.6× 857 0.8× 514 0.6× 49 12.8k
Johannes Totz United Kingdom 9 10.4k 1.9× 4.8k 1.7× 730 0.6× 769 0.7× 517 0.6× 12 12.5k
José Caballero United Kingdom 11 10.9k 2.0× 5.0k 1.8× 1.1k 1.0× 2.1k 2.0× 833 0.9× 14 14.3k
Wenzhe Shi United Kingdom 24 11.1k 2.1× 5.0k 1.8× 916 0.8× 1.2k 1.2× 557 0.6× 61 14.1k

Countries citing papers authored by Yunjin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yunjin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjin Chen. A scholar is included among the top collaborators of Yunjin Chen 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 Yunjin Chen. Yunjin Chen 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
2.
Yang, Yong, Sheng Li, Qi Zhang, et al.. (2024). P‐91: The Causes and Improvement of Circular Mura in Micro OLED Displays. SID Symposium Digest of Technical Papers. 55(1). 1740–1742. 1 indexed citations
3.
Chen, Yunjin, et al.. (2023). Technical comparison of continuous versus intermittent perfusion computed tomography computed tomography scans of the human pancreas. Quantitative Imaging in Medicine and Surgery. 13(5). 3279–3287. 1 indexed citations
4.
Zhao, Xinyi, et al.. (2023). Aluminum decreases cadmium accumulation by down-regulating the expression of cadmium-related genes in wheat. Plant Physiology and Biochemistry. 204. 108144–108144. 1 indexed citations
5.
Chen, Yunjin, et al.. (2023). Quantitative energy spectrum CT in differential diagnosis of aldosterone-producing adenoma and cortisol-producing adenoma. Quantitative Imaging in Medicine and Surgery. 13(8). 5012–5021. 2 indexed citations
6.
7.
Huang, Wenpeng, Yunjin Chen, Liming Li, et al.. (2022). Application of computed tomography-based radiomics in differential diagnosis of adenocarcinoma and squamous cell carcinoma at the esophagogastric junction. World Journal of Gastroenterology. 28(31). 4363–4375. 14 indexed citations
8.
Hao, Hui, et al.. (2022). Application of spectral CT combined with perfusion scan in diagnosis of pancreatic neuroendocrine tumors. Insights into Imaging. 13(1). 145–145. 7 indexed citations
9.
Gu, Shuhang, Shi Guo, Wangmeng Zuo, et al.. (2019). Learned Dynamic Guidance for Depth Image Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(10). 2437–2452. 21 indexed citations
10.
Zhao, Peng, Christopher Qian, Yunjin Chen, et al.. (2019). Cystathionine β-synthase (CBS) deficiency suppresses erythropoiesis by disrupting expression of heme biosynthetic enzymes and transporter. Cell Death and Disease. 10(10). 708–708. 15 indexed citations
11.
Chen, Yunjin, Zhong‐Ming Qian, Yuan Sheng, Jie Zheng, & Yong Liu. (2019). Angiotensin II down-regulates transferrin receptor 1 and ferroportin 1 expression in Neuro-2a cells via activation of type-1 receptor. Neuroscience Letters. 716. 134684–134684. 10 indexed citations
12.
Zhang, Kai, Wangmeng Zuo, Yunjin Chen, Deyu Meng, & Lei Zhang. (2017). Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Transactions on Image Processing. 26(7). 3142–3155. 5402 indexed citations breakdown →
13.
Luo, Qianqian, Gan Zhou, Suna Huang, et al.. (2017). Ghrelin is Negatively Correlated with Iron in the Serum in Human and Mice. Annals of Nutrition and Metabolism. 72(1). 37–42. 7 indexed citations
14.
Qiao, Peng, Yunjin Chen, & Yong Dou. (2017). Variational single image interpolation with time-varying regularization. Signal Processing Image Communication. 58. 258–269. 5 indexed citations
15.
Chen, Yunjin. (2014). Study on Ce Doped Na_(0.25)K_(0.25)Bi_(2.5)Nb_2O_9-0.4wt%Cr_2O_3 High Temperature Lead-free Piezoelectric Ceramics. Guisuanyan tongbao. 1 indexed citations
16.
Chen, Yunjin. (2014). Higher-order MRFs based image super resolution: MMSE or MAP?. arXiv (Cornell University). 1 indexed citations
17.
Chen, Yunjin, Thomas Pock, & Horst Bischof. (2012). Learning $\ell_1$-based analysis and synthesis sparsity priors using bi-level optimization. Neural Information Processing Systems. 13 indexed citations
18.
Chen, Yunjin. (2011). Fast Method for Image Sequences Mosaic Based on SURF. Computer Technology and Development. 2 indexed citations
19.
Chen, Yunjin. (2011). Application of Grayscale Nonuniformity Correction in Infrared Image Sequence Mosaic. 1 indexed citations
20.
Chen, Yunjin. (2003). Electroless Ni and Co Platings on Carbon Nanotubes. China Surface Engineering. 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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