Yading Yuan

3.5k total citations · 1 hit paper
37 papers, 971 citations indexed

About

Yading Yuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yading Yuan has authored 37 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yading Yuan's work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (14 papers) and Advanced Radiotherapy Techniques (9 papers). Yading Yuan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (14 papers) and Advanced Radiotherapy Techniques (9 papers). Yading Yuan collaborates with scholars based in United States, China and Czechia. Yading Yuan's co-authors include Yeh‐Chi Lo, Ming Chao, Maryellen L. Giger, Hui Li, Neha Bhooshan, Charlene A. Sennett, Andrew R. Jamieson, Karen Drukker, Kenji Suzuki and Sanaz A. Jansen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Yading Yuan

36 papers receiving 934 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.

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

2017 471 citations Yading Yuan, Ming Chao et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yading Yuan United States	12	503	321	314	230	130	37	971
Longzhong Liu China	20	414 0.8×	178 0.6×	506 1.6×	217 0.9×	113 0.9×	46	1.3k
André Homeyer Germany	13	376 0.7×	91 0.3×	294 0.9×	229 1.0×	115 0.9×	37	835
Georgios Z. Papadakis United States	20	252 0.5×	312 1.0×	582 1.9×	126 0.5×	282 2.2×	83	1.6k
Lei Bi Australia	20	707 1.4×	689 2.1×	508 1.6×	402 1.7×	267 2.1×	70	1.5k
Guangzhi Ma China	20	254 0.5×	289 0.9×	426 1.4×	255 1.1×	43 0.3×	79	1.2k
N. K. Timofeeva Netherlands	4	717 1.4×	137 0.4×	471 1.5×	292 1.3×	49 0.4×	10	963
Yee‐Wah Tsang United Kingdom	5	857 1.7×	189 0.6×	551 1.8×	429 1.9×	53 0.4×	6	1.2k
Eugene Vorontsov Canada	10	353 0.7×	83 0.3×	742 2.4×	195 0.8×	74 0.6×	14	1.2k
D B Kopans United States	15	735 1.5×	323 1.0×	469 1.5×	372 1.6×	51 0.4×	31	1.4k
Jiawen Yao China	16	582 1.2×	181 0.6×	532 1.7×	426 1.9×	26 0.2×	39	1.2k

Countries citing papers authored by Yading Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Yading Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yading Yuan

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

Chen, Jingyun & Yading Yuan. (2025). Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning. IEEE Transactions on Medical Imaging. 44(7). 2768–2783. 1 indexed citations

Horowitz, David P., Adam C. Riegel, Carl D. Elliston, et al.. (2025). Practical Approach to Computed Tomography Guided Online Adaptive Radiation Therapy for Abdominopelvic Tumors. Practical Radiation Oncology. 15(5). e444–e450. 2 indexed citations

Asad, Muhammad & Yading Yuan. (2024). FeSEC: a secure and efficient federated learning framework for medical imaging. PubMed. 12931. 15–15. 2 indexed citations

Cao, Biwei, et al.. (2022). Prediction-oriented prognostic biomarker discovery with survival machine learning methods. NAR Genomics and Bioinformatics. 5(2). lqad055–lqad055. 2 indexed citations

Yuan, Yading, et al.. (2022). Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy. PubMed. 44. 40–40. 3 indexed citations

Chao, Ming, Jie Wei, G. Narayanasamy, et al.. (2018). Three-dimensional cluster formation and structure in heterogeneous dose distribution of intensity modulated radiation therapy. Radiotherapy and Oncology. 127(2). 197–205. 6 indexed citations

Dumane, V.A., et al.. (2017). Computed tomography-based treatment planning for high-dose-rate brachytherapy using the tandem and ring applicator: influence of applicator choice on organ dose and inter-fraction adaptive planning. Journal of Contemporary Brachytherapy. 3(3). 279–286. 10 indexed citations

Chao, Ming, Jie Wei, Tianfang Li, et al.. (2016). Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques. Physics in Medicine and Biology. 61(8). 3109–3126. 13 indexed citations

Yuan, Yading, et al.. (2015). Tracking fuzzy borders using geodesic curves with application to liver segmentation on planning CT. Medical Physics. 42(7). 4015–4026. 2 indexed citations

10.

Chao, Ming, Sébastien Brousmiche, Yading Yuan, K. Rosenzweig, & Yeh‐Chi Lo. (2015). SU‐D‐207‐01: Markerless Respiratory Motion Tracking with Contrast Enhanced Thoracic Cone Beam CT Projections. Medical Physics. 42(6Part4). 3218–3218. 1 indexed citations

11.

Chao, Ming, et al.. (2015). A Feasibility Study of Tumor Motion Estimate With Regional Deformable Registration Method for 4-Dimensional Radiation Therapy of Lung Cancer. Technology in Cancer Research & Treatment. 15(5). NP8–NP16. 3 indexed citations

12.

Harreld, Julie H., Noah D. Sabin, Wilburn E. Reddick, et al.. (2014). Elevated Cerebral Blood Volume Contributes to Increased FLAIR Signal in the Cerebral Sulci of Propofol-Sedated Children. American Journal of Neuroradiology. 35(8). 1574–1579. 8 indexed citations

13.

Li, Shaoping, et al.. (2014). [An approach to screen fetal agenesis of the corpus callosum at 11-13(+6) weeks].. PubMed. 34(8). 1092–7. 1 indexed citations

14.

Yuan, Yading, Ovidiu C. Andronesi, Thomas Bortfeld, et al.. (2013). Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients. Radiotherapy and Oncology. 106(3). 378–382. 32 indexed citations

15.

Yuan, Yading, Maryellen L. Giger, Hui Li, Neha Bhooshan, & Charlene A. Sennett. (2012). Correlative Analysis of FFDM and DCE-MRI for Improved Breast CADx. Journal of Medical and Biological Engineering. 32(1). 42–50. 8 indexed citations

16.

Bhooshan, Neha, Maryellen L. Giger, Darrin C. Edwards, et al.. (2011). Computerized three-class classification of MRI-based prognostic markers for breast cancer. Physics in Medicine and Biology. 56(18). 5995–6008. 34 indexed citations

17.

Yuan, Yading, et al.. (2011). TU-A-BRC-09: Feasibility Study of MRI in Assessing in Vivo Proton End-Of-Range for Liver Cancer. Medical Physics. 38(6Part28). 3743–3743. 2 indexed citations

18.

Yuan, Yading, Maryellen L. Giger, Hui Li, Neha Bhooshan, & Charlene A. Sennett. (2010). Multimodality Computer-Aided Breast Cancer Diagnosis with FFDM and DCE-MRI. Academic Radiology. 17(9). 1158–1167. 40 indexed citations

19.

Jamieson, Andrew R., Maryellen L. Giger, Karen Drukker, et al.. (2009). Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and ‐SNE. Medical Physics. 37(1). 339–351. 110 indexed citations

20.

Li, Hui, Maryellen L. Giger, Yading Yuan, et al.. (2008). Evaluation of Computer-aided Diagnosis on a Large Clinical Full-field Digital Mammographic Dataset. Academic Radiology. 15(11). 1437–1445. 25 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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