Bin Yan

1.6k total citations
107 papers, 1.1k citations indexed

About

Bin Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Bin Yan has authored 107 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Biomedical Engineering and 24 papers in Cognitive Neuroscience. Recurrent topics in Bin Yan's work include Medical Imaging Techniques and Applications (37 papers), Advanced X-ray and CT Imaging (37 papers) and Radiation Dose and Imaging (16 papers). Bin Yan is often cited by papers focused on Medical Imaging Techniques and Applications (37 papers), Advanced X-ray and CT Imaging (37 papers) and Radiation Dose and Imaging (16 papers). Bin Yan collaborates with scholars based in China, Switzerland and Hong Kong. Bin Yan's co-authors include Li Tong, Linyuan Wang, Ying Zeng, Ailong Cai, Chi Zhang, Baoci Shan, Kuncheng Li, Hua Liu, Xiaowei Tang and Yu Gu and has published in prestigious journals such as PLoS ONE, Brain Research and Neuroscience.

In The Last Decade

Bin Yan

93 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Yan China	16	365	351	323	162	114	107	1.1k
Md Belal Bin Heyat China	26	208 0.6×	317 0.9×	326 1.0×	40 0.2×	48 0.4×	85	1.7k
Oldřich Vyšata Czechia	24	520 1.4×	411 1.2×	137 0.4×	28 0.2×	89 0.8×	106	1.5k
Hsiao‐Lung Chan Taiwan	21	552 1.5×	469 1.3×	53 0.2×	46 0.3×	57 0.5×	82	1.4k
Giovanni Calcagnini Italy	26	490 1.3×	269 0.8×	417 1.3×	38 0.2×	54 0.5×	151	2.0k
Makoto Yoshizawa Japan	22	694 1.9×	224 0.6×	304 0.9×	127 0.8×	37 0.3×	239	1.9k
Ramakrishnan Swaminathan India	20	648 1.8×	434 1.2×	303 0.9×	20 0.1×	43 0.4×	199	1.7k
Kouhyar Tavakolian United States	25	1.8k 4.9×	224 0.6×	143 0.4×	51 0.3×	24 0.2×	138	2.6k
Liam Kilmartin Ireland	18	237 0.6×	278 0.8×	106 0.3×	18 0.1×	130 1.1×	59	1.1k
Ping Wu China	24	187 0.5×	268 0.8×	322 1.0×	43 0.3×	133 1.2×	126	1.8k
Jiehui Jiang China	19	199 0.5×	311 0.9×	491 1.5×	41 0.3×	289 2.5×	143	1.3k

Countries citing papers authored by Bin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yan

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

Yan, Bin, et al.. (2025). Latent normal images-based zero-negative sample rail surface defect segmentation method. Automation in Construction. 173. 106097–106097. 2 indexed citations

Cai, Ailong, et al.. (2025). DuDoCROP: Dual-Domain CLIP-Assisted Residual Optimization Perception Model for CT Metal Artifact Reduction. IEEE Transactions on Radiation and Plasma Medical Sciences. 1–1.

Hai, Jinjin, et al.. (2024). Semantic contrast with uncertainty-aware pseudo label for lumbar semi-supervised classification. Computers in Biology and Medicine. 178. 108754–108754. 1 indexed citations

Zhu, Linlin, Chunhui Wang, Xiaoqi Xi, et al.. (2024). A Tabletop Nano-CT Image Noise Reduction Network Based on 3-Dimensional Axial Attention Mechanism. Computers, materials & continua/Computers, materials & continua (Print). 80(1). 1711–1725.

Wang, Yizhong, et al.. (2024). Hybrid-Domain Integrative Transformer Iterative Network for Spectral CT Imaging. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations

Wang, Yizhong, et al.. (2024). SVB: Self-Supervised Real CT Denoising via Similarity-Based Visual Blind-Spot Scheme. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.

Chen, Ziyang, Zhihai Su, Zhengyan Wang, et al.. (2023). Deep learning‐based detection and classification of lumbar disc herniation on magnetic resonance images. JOR Spine. 6(3). e1276–e1276. 14 indexed citations

Zhu, Linlin, et al.. (2023). Unsupervised metal artifacts reduction network for CT images based on efficient transformer. Biomedical Signal Processing and Control. 89. 105753–105753.

Wang, Shaoyu, et al.. (2023). Low-Rank Tensor Train and Self-Similarity Based Spectral CT Reconstruction. IEEE Access. 12. 56368–56382. 1 indexed citations

10.

Cai, Ailong, et al.. (2023). Direct Multi-Material Reconstruction via Iterative Proximal Adaptive Descent for Spectral CT Imaging. Bioengineering. 10(4). 470–470. 1 indexed citations

11.

Cai, Ailong, et al.. (2023). Volume Conservation Constrained Multi-Material Reconstruction for Inconsistent Spectral CT Imaging. IEEE Access. 12. 58128–58142. 1 indexed citations

12.

Zeng, Ying, et al.. (2022). A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets. Computational Intelligence and Neuroscience. 2022. 1–12. 5 indexed citations

13.

Zhang, Lijie, Zhengguang Chen, Liwei Guo, et al.. (2021). Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy. BMC Medical Imaging. 21(1). 115–115. 12 indexed citations

14.

Han, Yu, et al.. (2019). X-ray cone-beam computed tomography geometric artefact reduction based on a data-driven strategy. Applied Optics. 58(17). 4771–4771. 9 indexed citations

15.

Cai, Ailong, et al.. (2019). Promising Generative Adversarial Network Based Sinogram Inpainting Method for Ultra-Limited-Angle Computed Tomography Imaging. Sensors. 19(18). 3941–3941. 46 indexed citations

16.

Chen, Siyu, et al.. (2016). A filter design method for beam hardening correction in middle-energy x-ray computed tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10033. 1003352–1003352. 8 indexed citations

17.

Yan, Bin. (2011). Applications of Dental CT in Oral Clinical Practice. 1 indexed citations

18.

Li, Ke, Baoci Shan, Jianyang Xu, et al.. (2006). Changes in fMRI in the Human Brain Related to Different Durations of Manual Acupuncture Needling. The Journal of Alternative and Complementary Medicine. 12(7). 615–623. 34 indexed citations

19.

Hao, Jing, Kuncheng Li, Yanhui Yang, et al.. (2005). Visual attention deficits in Alzheimer's disease--a fMRI study. Zhonghua fangshexian yixue zazhi. 39(5). 453–458. 1 indexed citations

20.

Hao, Jing, Kuncheng Li, Dexuan Zhang, et al.. (2005). Visual attention deficits in Alzheimer's disease: an fMRI study. Neuroscience Letters. 385(1). 18–23. 64 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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