Shan Yang

2.5k total citations · 3 hit papers
43 papers, 1.1k citations indexed

About

Shan Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Shan Yang has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Shan Yang's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced MIMO Systems Optimization (8 papers) and Cardiac Imaging and Diagnostics (5 papers). Shan Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced MIMO Systems Optimization (8 papers) and Cardiac Imaging and Diagnostics (5 papers). Shan Yang collaborates with scholars based in Switzerland, China and United States. Shan Yang's co-authors include David A. Ross, Angjoo Kanazawa, Ruilong Li, Alexander Sauter, Joshy Cyriac, Jakob Wasserthal, Michael Bach, Daniel T. Boll, Martin Segeroth and Hanns‐Christian Breit and has published in prestigious journals such as PLoS ONE, Radiology and Cells.

In The Last Decade

Shan Yang

40 papers receiving 1.1k 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.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. profile →
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

2021 280 citations Shan Yang et al. profile →
TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

2025 26 citations Tugba Akinci D’Antonoli, Matthias Jung et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Yang Switzerland	12	466	331	227	194	151	43	1.1k
Mingfeng Jiang China	17	299 0.6×	324 1.0×	156 0.7×	59 0.3×	248 1.6×	136	1.1k
Marcos Salganicoff United States	22	577 1.2×	247 0.7×	210 0.9×	85 0.4×	331 2.2×	56	1.2k
Hong Song China	17	444 1.0×	562 1.7×	315 1.4×	25 0.1×	268 1.8×	182	1.4k
Alexander Schlaefer Germany	22	659 1.4×	202 0.6×	527 2.3×	52 0.3×	233 1.5×	175	1.6k
Shivajirao M. Jadhav India	15	388 0.8×	240 0.7×	173 0.8×	38 0.2×	474 3.1×	25	1.2k
Tomasz Markiewicz Poland	16	230 0.5×	299 0.9×	243 1.1×	39 0.2×	427 2.8×	70	1.2k
Hélder P. Oliveira Portugal	20	304 0.7×	173 0.5×	110 0.5×	48 0.2×	251 1.7×	94	916
Martin Lillholm Denmark	17	479 1.0×	281 0.8×	170 0.7×	84 0.4×	572 3.8×	49	1.4k
Fatma Taher United Arab Emirates	21	483 1.0×	297 0.9×	111 0.5×	36 0.2×	464 3.1×	110	1.3k
Qianni Zhang United Kingdom	18	418 0.9×	748 2.3×	161 0.7×	31 0.2×	447 3.0×	97	1.5k

Countries citing papers authored by Shan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yang

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

Wasserthal, Jakob, Martin Segeroth, Shan Yang, et al.. (2025). Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. Journal of Imaging Informatics in Medicine. 39(1). 345–354.

D’Antonoli, Tugba Akinci, Matthias Jung, Alexander Rau, et al.. (2025). TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI. Radiology. 314(2). e241613–e241613. 26 indexed citations breakdown →

Wasserthal, Jakob, Jan Vosshenrich, Shan Yang, et al.. (2024). Intra-Individual Reproducibility of Automated Abdominal Organ Segmentation—Performance of TotalSegmentator Compared to Human Readers and an Independent nnU-Net Model. Journal of Imaging Informatics in Medicine. 38(3). 1617–1627. 1 indexed citations

Fan, Xiaoya, et al.. (2024). EEG-based Seizure Type Classification with Temporal-Spatial-Spectral Attention. 4150–4157.

Segeroth, Martin, Jonathan I. Sperl, Joshy Cyriac, et al.. (2023). Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT. European Journal of Radiology. 168. 111093–111093. 4 indexed citations

Yang, Shan, Thomas Weikert, Jens Bremerich, et al.. (2022). Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Diagnostics. 12(5). 1045–1045. 11 indexed citations

Qiu, Junyi, Lei Li, Ke Zhang, et al.. (2022). MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images. Medical Image Analysis. 84. 102694–102694. 23 indexed citations

Weikert, Thomas, Shan Yang, Jonathan I. Sperl, et al.. (2022). Automated quantification of airway wall thickness on chest CT using retina U-Nets – Performance evaluation and application to a large cohort of chest CTs of COPD patients. European Journal of Radiology. 155. 110460–110460. 8 indexed citations

Pradella, Maurice, Constantin Anastasopoulos, Shan Yang, et al.. (2022). Associations between fully-automated, 3D-based functional analysis of the left atrium and classification schemes in atrial fibrillation. PLoS ONE. 17(8). e0272011–e0272011. 4 indexed citations

10.

Bach, Michael, Shan Yang, Bram Stieltjes, et al.. (2022). Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia. European Journal of Radiology. 150. 110259–110259. 14 indexed citations

11.

Bach, Michael, Shan Yang, Fabian Franzeck, et al.. (2021). Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds. Diagnostics. 11(5). 738–738. 11 indexed citations

12.

Wasserthal, Jakob, Thomas Weikert, Alexander Sauter, et al.. (2021). Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning. Diagnostics. 11(5). 901–901. 29 indexed citations

13.

Rau, Alexander, Suam Kim, Shan Yang, et al.. (2021). SVM-Based Normal Pressure Hydrocephalus Detection. Clinical Neuroradiology. 31(4). 1029–1035. 19 indexed citations

14.

Ding, Zijian, Guijin Wang, Huazhong Yang, et al.. (2021). A community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram. Medical & Biological Engineering & Computing. 60(1). 33–45. 1 indexed citations

15.

Yang, Shan, Peng Chen, Liang Lin, Jianchi Zhu, & Xiaoming She. (2020). Uplink Multiple Access Schemes for 5G: A Survey. ZTE communications. 15. 31–40. 10 indexed citations

16.

Anastasopoulos, Constantin, Thomas Weikert, Shan Yang, et al.. (2020). Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning. European Journal of Radiology. 131. 109233–109233. 18 indexed citations

17.

Weikert, Thomas, et al.. (2019). A Practical Guide to Artificial Intelligence–Based Image Analysis in Radiology. Investigative Radiology. 55(1). 1–7. 38 indexed citations

18.

Wang, Yanbin, Zhu‐Hong You, Liping Li, et al.. (2018). Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles. International Journal of Biological Sciences. 14(8). 983–991. 14 indexed citations

19.

Yang, Shan, et al.. (2016). Interference modeling and performance evaluation for BS MMSE-IRC receiver in LTE-A release 13. Wireless Personal Multimedia Communications. 239–243. 2 indexed citations

20.

Yang, Shan, et al.. (2003). Study on three level system population transfer. Chinese Optics Letters. 1(5). 253–255. 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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