Dinggang Shen

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Dinggang Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Dinggang Shen has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Dinggang Shen's work include Medical Image Segmentation Techniques (10 papers), Brain Tumor Detection and Classification (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Dinggang Shen is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Brain Tumor Detection and Classification (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Dinggang Shen collaborates with scholars based in United States, China and South Korea. Dinggang Shen's co-authors include Christos Davatzikos, Seong‐Whan Lee, Heung‐Il Suk, Tianming Liu, Kun Sun, Yue Wang, Yuanjie Zheng, Qian Wang, Dajiang Zhu and Li Wang and has published in prestigious journals such as Radiology, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Dinggang Shen

27 papers receiving 1.2k 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.

HAMMER: hierarchical attribute matching mechanism for elastic registration

2002 847 citations Dinggang Shen, Christos Davatzikos IEEE Transactions on Medical Imaging profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dinggang Shen	576	490	207	189	166	27	1.2k
Lasse Riis Østergaard	388 0.7×	488 1.0×	151 0.7×	119 0.6×	123 0.7×	57	1.2k
Jung W. Suh	483 0.8×	316 0.6×	166 0.8×	95 0.5×	172 1.0×	21	968
Martin Rajchl	584 1.0×	640 1.3×	190 0.9×	285 1.5×	105 0.6×	61	1.6k
O. Cuisenaire	631 1.1×	397 0.8×	349 1.7×	94 0.5×	172 1.0×	39	1.6k
Brent C. Munsell	391 0.7×	365 0.7×	375 1.8×	216 1.1×	225 1.4×	31	1.2k
Kirt Schaper	739 1.3×	651 1.3×	332 1.6×	94 0.5×	277 1.7×	19	1.5k
Olivier Commowick	693 1.2×	787 1.6×	113 0.5×	166 0.9×	175 1.1×	73	1.7k
A. C. F. Colchester	498 0.9×	400 0.8×	378 1.8×	101 0.5×	207 1.2×	60	1.8k
Lucia Ballerini	348 0.6×	683 1.4×	105 0.5×	166 0.9×	207 1.2×	93	2.1k
Vincent Noblet	249 0.4×	598 1.2×	333 1.6×	144 0.8×	199 1.2×	94	1.6k

Countries citing papers authored by Dinggang Shen

Since Specialization

Citations

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

Fields of papers citing papers by Dinggang Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinggang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Dinggang Shen. A scholar is included among the top collaborators of Dinggang Shen 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 Dinggang Shen. Dinggang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dai, Haixing, Zhengliang Liu, Wenxiong Liao, et al.. (2025). AugGPT: Leveraging ChatGPT for Text Data Augmentation. IEEE Transactions on Big Data. 11(3). 907–918. 16 indexed citations

Wang, Sheng, et al.. (2024). Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. Knowledge-Based Systems. 309. 112856–112856. 2 indexed citations

Wang, Xin, et al.. (2024). Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning. 1–5. 2 indexed citations

Cai, Xiaoyan, Sen Liu, Libin Yang, et al.. (2022). COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. Journal of Biomedical Informatics. 127. 103999–103999. 20 indexed citations

Sun, Kun, Zhicheng Jiao, Hong Zhu, et al.. (2021). Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR. Journal of Translational Medicine. 19(1). 443–443. 16 indexed citations

Liu, Yu, Chencheng Zhang, Junchen Li, et al.. (2021). Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study. Frontiers in Neuroscience. 15. 731109–731109. 14 indexed citations

Wang, Shuai, Kun Sun, Li Wang, et al.. (2021). Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 4990–5001. 32 indexed citations

Ma, Yixin, et al.. (2021). A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. 227–235. 1 indexed citations

Zheng, Yuanjie, Yanhui Ding, Sujuan Hou, et al.. (2018). A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment. IEEE Access. 6. 25130–25141. 14 indexed citations

10.

Wang, Kyle, Aaron D. Falchook, Jun Lian, et al.. (2017). Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer. Frontiers in Oncology. 7. 8–8. 22 indexed citations

11.

Zhang, Jun, Yaozong Gao, Sang Hyun Park, et al.. (2016). Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. Lecture notes in computer science. 10019. 61–68. 8 indexed citations

12.

Chen, Yasheng, Rajat Dhar, Laura Heitsch, et al.. (2016). Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs. NeuroImage Clinical. 12. 673–680. 47 indexed citations

13.

Suk, Heung‐Il, Seong‐Whan Lee, & Dinggang Shen. (2014). Subclass-based multi-task learning for Alzheimer's disease diagnosis. Frontiers in Aging Neuroscience. 6. 168–168. 31 indexed citations

14.

Chen, Hanbo, Kaiming Li, Dajiang Zhu, et al.. (2013). Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering. IEEE Transactions on Medical Imaging. 32(9). 1576–1586. 37 indexed citations

15.

Qiao, Hui, Hualei Zhang, Yuanjie Zheng, et al.. (2009). Embryonic Stem Cell Grafting in Normal and Infarcted Myocardium: Serial Assessment with MR Imaging and PET Dual Detection. Radiology. 250(3). 821–829. 48 indexed citations

16.

Kim, Minjeong, et al.. (2008). Learning-based deformation estimation for fast non-rigid registration. PubMed. JUNE(23-28). 1–6. 14 indexed citations

17.

Ou, Yangming, et al.. (2007). SIMULTANEOUS ESTIMATION AND SEGMENTATION OF T1 MAP FOR BREAST PARENCHYMA MEASUREMENT. 332–335. 10 indexed citations

18.

Fan, Yong, Susan M. Resnick, Dinggang Shen, Michael A. Kraut, & Christos Davatzikos. (2007). O2–03–06: MCI diagnosis via high‐dimensional pattern classification with simultaneous utilization of MR and pet‐CBF images yields 100% correct classification. Alzheimer s & Dementia. 3(3S_Part_3). 2 indexed citations

19.

Fan, Yong, Hengyi Rao, Joan M. Giannetta, et al.. (2006). Diagnosis of Brain Abnormality Using both Structural and Functional MR Images. 6585–6588. 4 indexed citations

20.

Shen, Dinggang & Christos Davatzikos. (2002). HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Transactions on Medical Imaging. 21(11). 1421–1439. 847 indexed citations breakdown →

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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