Dong Zeng

2.0k total citations
105 papers, 1.3k citations indexed

About

Dong Zeng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dong Zeng has authored 105 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Radiology, Nuclear Medicine and Imaging, 74 papers in Biomedical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dong Zeng's work include Medical Imaging Techniques and Applications (79 papers), Advanced X-ray and CT Imaging (64 papers) and Advanced MRI Techniques and Applications (33 papers). Dong Zeng is often cited by papers focused on Medical Imaging Techniques and Applications (79 papers), Advanced X-ray and CT Imaging (64 papers) and Advanced MRI Techniques and Applications (33 papers). Dong Zeng collaborates with scholars based in China, United States and Australia. Dong Zeng's co-authors include Jianhua Ma, Zhaoying Bian, Zhengrong Liang, Hua Zhang, Hao Zhang, Jing Huang, Wufan Chen, Qianjin Feng, Shanzhou Niu and Yongbo Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dong Zeng

91 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Zeng China 20 1.1k 838 241 120 68 105 1.3k
Dufan Wu United States 16 712 0.7× 463 0.6× 166 0.7× 102 0.8× 62 0.9× 59 901
Z. Liang United States 18 556 0.5× 322 0.4× 149 0.6× 185 1.5× 62 0.9× 67 1.0k
Shekhar S. Chandra Australia 15 347 0.3× 244 0.3× 192 0.8× 140 1.2× 91 1.3× 70 876
Bernhard Brendel Germany 20 1.1k 1.0× 958 1.1× 109 0.5× 107 0.9× 120 1.8× 53 1.4k
Shaoyu Wang China 16 484 0.5× 419 0.5× 90 0.4× 41 0.3× 21 0.3× 43 615
Aaron Fenster Canada 16 370 0.4× 352 0.4× 286 1.2× 116 1.0× 266 3.9× 58 861
Adam Wang United States 22 1.2k 1.2× 1.2k 1.4× 114 0.5× 370 3.1× 232 3.4× 128 1.6k
Jan Ehrhardt Germany 20 807 0.8× 371 0.4× 495 2.1× 410 3.4× 348 5.1× 92 1.4k
Stefan Wesarg Germany 20 398 0.4× 556 0.7× 376 1.6× 40 0.3× 73 1.1× 92 1.1k
Yves Trousset France 13 473 0.5× 319 0.4× 355 1.5× 90 0.8× 311 4.6× 40 999

Countries citing papers authored by Dong Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Dong Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Zeng

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

All Works

20 of 20 papers shown
1.
Dang, Qin, Dong Zeng, Peihua Cao, et al.. (2025). MRI-based radiomics to determine the role of thigh muscle quality in the development of knee osteoarthritis: A discovery and validation study. Journal of Advanced Research. 79. 819–831.
2.
Wang, Qianchao, et al.. (2025). Don’t fear peculiar activation functions: EUAF and beyond. Neural Networks. 186. 107258–107258.
3.
Wang, Hao, Xiaoyu Zhang, Xuebin Ren, et al.. (2025). Federated Metadata-Constrained iRadonMAP Framework with Mutual Learning for All-in-One Computed Tomography Imaging. Cyborg and Bionic Systems. 6. 376–376.
4.
Ma, Jianhua, et al.. (2024). b-MAR: bidirectional artifact representations learning framework for metal artifact reduction in dental CBCT. Physics in Medicine and Biology. 69(14). 145010–145010. 3 indexed citations
5.
Pang, Shumao, et al.. (2023). Cross-Domain Unpaired Learning for Low-Dose CT Imaging. IEEE Journal of Biomedical and Health Informatics. 27(11). 5471–5482. 6 indexed citations
6.
Chen, Haowei, Tianyu Chen, Jia Li, et al.. (2023). The application of machine learning in early diagnosis of osteoarthritis: a narrative review. Therapeutic Advances in Musculoskeletal Disease. 15. 1759720X231158198–1759720X231158198. 23 indexed citations
7.
Hu, Chunyan, Anmei Zhang, Xinxin Wang, et al.. (2023). A real-world retrospective study of incidence and associated factors of endocrine adverse events related to PD-1/PD-L1 inhibitors. Annals of Translational Medicine. 11(4). 164–164. 3 indexed citations
8.
9.
Li, Jia, Zhaohua Zhu, Dong Zeng, et al.. (2022). MRI-based Texture Analysis of Infrapatellar Fat Pad to Predict Knee Osteoarthritis Incidence. Radiology. 304(3). 611–621. 51 indexed citations
10.
Chen, Zixiang, Dong Zeng, Zhenxing Huang, et al.. (2021). Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography. Physics in Medicine and Biology. 66(4). 45012–45012. 7 indexed citations
11.
Zhang, Yuanke, Jiangjun Peng, Dong Zeng, et al.. (2020). Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans. IEEE Transactions on Computational Imaging. 6. 1375–1388. 8 indexed citations
12.
Niu, Shanzhou, Zhaoying Bian, Dong Zeng, et al.. (2018). Total image constrained diffusion tensor for spectral computed tomography reconstruction. Applied Mathematical Modelling. 68. 487–508. 13 indexed citations
13.
Zeng, Dong, Gaofeng Chen, Yuting Liao, et al.. (2018). Multi-energy computed tomography reconstruction using a nonlocal spectral similarity model. Physics in Medicine and Biology. 64(3). 35018–35018. 16 indexed citations
14.
Zeng, Dong, Jiahui Lin, Li Sui, et al.. (2018). Promote quantitative ischemia imaging via myocardial perfusion CT iterative reconstruction with tensor total generalized variation regularization. Physics in Medicine and Biology. 63(12). 125009–125009. 7 indexed citations
15.
Wang, Yongbo, Yuting Liao, Yuanke Zhang, et al.. (2018). Iterative quality enhancement via residual-artifact learning networks for low-dose CT. Physics in Medicine and Biology. 63(21). 215004–215004. 34 indexed citations
16.
Tao, Xi, Jianhua Ma, Zhaoying Bian, et al.. (2017). Motion guided Spatiotemporal Sparsity for high quality 4D-CBCT reconstruction. Scientific Reports. 7(1). 17461–17461. 10 indexed citations
17.
Zeng, Dong, Zhaoying Bian, Jing Huang, et al.. (2016). Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study. Physics in Medicine and Biology. 61(22). 8135–8156. 12 indexed citations
18.
Zeng, Dong, Xinyu Zhang, Zhaoying Bian, et al.. (2016). Cerebral perfusion computed tomography deconvolution via structure tensor total variation regularization. Medical Physics. 43(5). 2091–2107. 27 indexed citations
19.
Zeng, Dong, Yuanyuan Gao, Jing Huang, et al.. (2016). Penalized weighted least-squares approach for multienergy computed tomography image reconstruction via structure tensor total variation regularization. Computerized Medical Imaging and Graphics. 53. 19–29. 36 indexed citations
20.
Bian, Zhaoying, Jing Huang, Jianhua Ma, et al.. (2014). Dynamic Positron Emission Tomography Image Restoration via a Kinetics-Induced Bilateral Filter. PLoS ONE. 9(2). e89282–e89282. 22 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

Breakdown of academic impact, for papers by Dufan Wu Breakdown of academic impact, for papers by Z. Liang Breakdown of academic impact, for papers by Shekhar S. Chandra Breakdown of academic impact, for papers by Bernhard Brendel Breakdown of academic impact, for papers by Shaoyu Wang Breakdown of academic impact, for papers by Aaron Fenster Breakdown of academic impact, for papers by Adam Wang Breakdown of academic impact, for papers by Jan Ehrhardt Breakdown of academic impact, for papers by Stefan Wesarg Breakdown of academic impact, for papers by Yves Trousset
Rankless by CCL
2026