Jinshan Tang

5.1k total citations · 2 hit papers
154 papers, 3.6k citations indexed

About

Jinshan Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jinshan Tang has authored 154 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jinshan Tang's work include Image and Signal Denoising Methods (24 papers), Image Retrieval and Classification Techniques (21 papers) and Medical Image Segmentation Techniques (16 papers). Jinshan Tang is often cited by papers focused on Image and Signal Denoising Methods (24 papers), Image Retrieval and Classification Techniques (21 papers) and Medical Image Segmentation Techniques (16 papers). Jinshan Tang collaborates with scholars based in United States, China and Canada. Jinshan Tang's co-authors include Xiaoming Liu, Scott T. Acton, Qingling Sun, Eli Peli, Rangaraj M. Rangayyan, Issam El Naqa, Jun Xu, Yongyi Yang, Zilong Hu and Kai Zhang and has published in prestigious journals such as Journal of Cleaner Production, Environmental Pollution and IEEE Access.

In The Last Decade

Jinshan Tang

145 papers receiving 3.4k 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.

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

2009 431 citations Jinshan Tang et al. profile →
Deep learning for image-based cancer detection and diagnosis − A survey

2018 360 citations Jinshan Tang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinshan Tang United States	32	1.7k	1.2k	1.1k	553	405	154	3.6k
Wenjing Jia Australia	26	1.8k 1.1×	987 0.8×	617 0.6×	607 1.1×	369 0.9×	161	3.4k
Marco Loog Netherlands	28	1.8k 1.1×	1.4k 1.2×	1.5k 1.4×	320 0.6×	312 0.8×	141	4.2k
Isabella Nogues United States	4	1.1k 0.7×	1.5k 1.3×	1.5k 1.4×	247 0.4×	460 1.1×	6	4.1k
Xian‐Hua Han Japan	22	1.9k 1.2×	936 0.8×	1.1k 1.0×	649 1.2×	422 1.0×	197	3.5k
Mingchen Gao United States	15	1.4k 0.8×	1.8k 1.6×	1.8k 1.7×	268 0.5×	537 1.3×	54	4.8k
Qingli Li China	32	1.4k 0.8×	714 0.6×	892 0.8×	726 1.3×	760 1.9×	328	4.7k
Chen Li China	37	1.3k 0.8×	2.1k 1.8×	1.8k 1.7×	471 0.9×	437 1.1×	239	4.8k
Hoo-Chang Shin United States	10	1.4k 0.9×	2.0k 1.7×	1.9k 1.8×	300 0.5×	550 1.4×	10	5.0k
Wei Shen China	32	2.8k 1.7×	1.3k 1.1×	1.3k 1.2×	459 0.8×	369 0.9×	132	4.7k
Aurélio Campilho Portugal	28	1.7k 1.0×	1.0k 0.9×	2.3k 2.2×	193 0.3×	223 0.6×	140	3.7k

Countries citing papers authored by Jinshan Tang

Since Specialization

Citations

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

Fields of papers citing papers by Jinshan Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinshan Tang

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

Mu, Nan, et al.. (2025). Improving Prediction of Intracranial Aneurysm Rupture Status Using Temporal Velocity-Informatics. Annals of Biomedical Engineering. 53(4). 1024–1041. 2 indexed citations

Jiang, Jingfeng, et al.. (2025). Improving rupture status prediction for intracranial aneurysms using wall shear stress informatics. Acta Neurochirurgica. 167(1). 15–15. 1 indexed citations

Wang, Zhaohui, et al.. (2025). Internal structural design of liquid hydrogen tanks in microgravity: Thermal management and boil-off mitigation. Aerospace Science and Technology. 169. 111483–111483.

Tang, Jinshan, et al.. (2024). Efficient recovery and utilization of phosphorus from sewage sludge via alkalinous fenton-like oxidation with pyrolysis-modified red mud: Full resource utilization attempt. Journal of Cleaner Production. 475. 143588–143588. 1 indexed citations

Ma, Xinyou, Yuting Xie, Jinshan Tang, Jian Xue, & Zhanfen Chen. (2024). Two novel SNS-donor palladium(ii) complexes of benzoxazole and benzothiazole derivatives as potential anticancer agents. Dalton Transactions. 54(4). 1677–1688. 2 indexed citations

Ye, Jin, et al.. (2024). Segmentation of Starch Granules in Microscopic Images Using a U-Net Model. Electronic Imaging. 36(5). 310–1. 1 indexed citations

Liu, Xiaoming, et al.. (2024). Multi-scale local-global transformer with contrastive learning for biomarkers segmentation in retinal OCT images. Journal of Applied Biomedicine. 44(1). 231–246. 5 indexed citations

Tang, Jinshan, et al.. (2024). Chemistry and bioactivity of marine algal toxins and their geographic distribution in China. Fitoterapia. 178. 106193–106193. 3 indexed citations

Tang, Jinshan, et al.. (2024). Bagasse modification of red mud for efficient photocatalytic degradation of real dye wastewater: An utilization attempt for massive waste. Environmental Research. 267. 120608–120608. 4 indexed citations

10.

Tian, Danmei, Huadong Zhao, Wanqi Wang, et al.. (2023). Deciphering in vivo metabolic profile and pharmacological mechanisms of Jitongning Tablet for the treatment of Ankylosing spondylitis. Journal of Pharmaceutical and Biomedical Analysis. 227. 115271–115271. 3 indexed citations

11.

Liu, Xiaoming, Di Zhang, Junping Yao, & Jinshan Tang. (2023). Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images. Biomedical Signal Processing and Control. 83. 104604–104604. 47 indexed citations

12.

Wang, Mi, Zhenyuan Wang, Jichuan Zhang, et al.. (2022). Sustainable Bioactive Salts Fully Composed of Natural Products for Enhanced Pharmaceutical Applicability. ACS Sustainable Chemistry & Engineering. 10(31). 10369–10382. 8 indexed citations

13.

Chen, Zhao, Yan Xu, Zhuo He, et al.. (2021). Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images. Pattern Recognition. 119. 108071–108071. 77 indexed citations

14.

Chen, Zhao, Joyce H. Keyak, Jinshan Tang, et al.. (2021). ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation. Complex & Intelligent Systems. 9(3). 2747–2758. 18 indexed citations

15.

Li, Jin, Jinshan Tang, Bingying Jiang, Yun Xiang, & Ruo Yuan. (2018). Amplified probing of protein/DNA interactions for sensitive fluorescence detection of transcription factors. Journal of Materials Chemistry B. 6(37). 6002–6007. 5 indexed citations

16.

Wang, Jingyan, et al.. (2017). Landcover Classification Using Deep Fully Convolutional Neural Networks. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

17.

Zhou, Jianlong, et al.. (2013). A texture features based medical image retrieval system for breast cancer. 1010–1015. 1 indexed citations

18.

Tang, Jinshan, Garry Choy, Marcelino Bernardo, et al.. (2006). Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Assessment of Early Response to Tumor Necrosis Factor Alpha in a Colon Carcinoma Model. Investigative Radiology. 41(9). 691–696. 14 indexed citations

19.

Tang, Jinshan, et al.. (2006). Surface extraction and thickness measurement of the articular cartilage from MR images using directional gradient vector flow snakes. IEEE Transactions on Biomedical Engineering. 53(5). 896–907. 64 indexed citations

20.

Tang, Jinshan, et al.. (2005). Image Stabilization and Registration for Tracking Cells in the Microvasculature. IEEE Transactions on Biomedical Engineering. 52(2). 287–299. 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.

Explore authors with similar magnitude of impact