Can Zhao

2.0k total citations
46 papers, 857 citations indexed

About

Can Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Can Zhao has authored 46 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Can Zhao's work include Medical Image Segmentation Techniques (7 papers), Computational Drug Discovery Methods (6 papers) and Image and Signal Denoising Methods (5 papers). Can Zhao is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Computational Drug Discovery Methods (6 papers) and Image and Signal Denoising Methods (5 papers). Can Zhao collaborates with scholars based in United States, China and Taiwan. Can Zhao's co-authors include Jerry L. Prince, Aaron Carass, Blake E. Dewey, Peter A. Calabresi, Dzung L. Pham, Junghoon Lee, Heran Yang, Jian Sun, Zongben Xu and Daniel S. Reich and has published in prestigious journals such as Critical Care Medicine, IEEE Transactions on Medical Imaging and Information Sciences.

In The Last Decade

Can Zhao

43 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Can Zhao United States	15	373	370	179	137	60	46	857
Veronika Cheplygina Netherlands	14	464 1.2×	381 1.0×	593 3.3×	111 0.8×	34 0.6×	24	1.3k
Anas Bilal China	18	324 0.9×	492 1.3×	302 1.7×	50 0.4×	55 0.9×	66	1.1k
Alireza Osareh Iran	17	509 1.4×	791 2.1×	238 1.3×	58 0.4×	54 0.9×	31	1.1k
Shunxing Bao United States	14	359 1.0×	472 1.3×	257 1.4×	138 1.0×	32 0.5×	85	908
Bita Shadgar Iran	13	244 0.7×	355 1.0×	208 1.2×	48 0.4×	61 1.0×	29	632
Jonathan Passerat‐Palmbach United Kingdom	10	233 0.6×	256 0.7×	365 2.0×	79 0.6×	42 0.7×	18	773
Xiaohong Wang China	14	253 0.7×	202 0.5×	224 1.3×	58 0.4×	22 0.4×	72	682
Yuxing Tang China	15	269 0.7×	437 1.2×	380 2.1×	68 0.5×	23 0.4×	38	842
Changhee Han Japan	10	325 0.9×	249 0.7×	316 1.8×	65 0.5×	34 0.6×	27	762

Countries citing papers authored by Can Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Can Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Zhao

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

He, Yufan, Yucheng Tang, Andriy Myronenko, et al.. (2025). VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. 20863–20873. 7 indexed citations

Wang, Chih‐Hung, Yu‐Sen Huang, Joyce Tay, et al.. (2024). Deep Learning–Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study. Journal of Imaging Informatics in Medicine. 38(1). 335–345.

Wang, Xuebin, et al.. (2024). Knock-Knock: De-Anonymise Hidden Services by Exploiting Service Answer Vulnerability. 1–7. 1 indexed citations

Zhao, Can, et al.. (2024). MR to CT Synthesis Using 3d Latent Diffusion. 1–5. 3 indexed citations

Zhao, Can, Holger R. Roth, Syed Muhammad Anwar, et al.. (2024). Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. Lecture notes in computer science. 15003. 444–454.

Zhao, Can, et al.. (2023). DIHBA: Dynamic, invisible and high attack success rate boundary backdoor attack with low poison ratio. Computers & Security. 129. 103212–103212. 1 indexed citations

Wang, Chih‐Hung, Guan‐Ru Chen, Meng‐Rui Lee, et al.. (2023). Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. Journal of Medical Systems. 48(1). 1–1. 6 indexed citations

He, Yufan, Dong Yang, Holger R. Roth, Can Zhao, & Daguang Xu. (2021). DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. 5837–5846. 54 indexed citations

Cheng, Lijun, et al.. (2021). A thorough review of models, evaluation metrics, and datasets on image captioning. IET Image Processing. 16(2). 311–332. 19 indexed citations

10.

Dewey, Blake E., Can Zhao, Jacob C. Reinhold, et al.. (2019). DeepHarmony: A deep learning approach to contrast harmonization across scanner changes. Magnetic Resonance Imaging. 64. 160–170. 136 indexed citations

11.

Zhao, Can, Aaron Carass, Blake E. Dewey, et al.. (2018). A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. Lecture notes in computer science. 11070. 100–108. 23 indexed citations

12.

Zhao, Can, Aaron Carass, Blake E. Dewey, & Jerry L. Prince. (2018). Self super-resolution for magnetic resonance images using deep networks. 365–368. 29 indexed citations

13.

Zhao, Can, et al.. (2017). A two-step framework for inferring direct protein-protein interaction network from AP-MS data. BMC Systems Biology. 11(S4). 82–82. 8 indexed citations

14.

Zhao, Can, et al.. (2017). Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(2). 365–376. 2 indexed citations

15.

He, Zengyou, et al.. (2016). Protein Inference. Advances in experimental medicine and biology. 919. 237–242. 2 indexed citations

16.

Zhao, Can, Jian Zhao, Xiaojun Lin, & Chuan Wu. (2015). Capacity of P2P On-Demand Streaming With Simple, Robust, and Decentralized Control. IEEE/ACM Transactions on Networking. 24(5). 2607–2620. 11 indexed citations

17.

Zhao, Can, et al.. (2015). BagReg: Protein inference through machine learning. Computational Biology and Chemistry. 57. 12–20. 7 indexed citations

18.

Zhao, Can, Xiaojun Lin, & Chuan Wu. (2014). The Streaming Capacity of Sparsely Connected P2P Systems With Distributed Control. IEEE/ACM Transactions on Networking. 24(1). 58–71. 6 indexed citations

19.

Zhao, Can, et al.. (2013). Multisensor Information Fusion Based on D-S Evidence Theory and BP Neural Network. Key engineering materials. 567. 113–117. 4 indexed citations

20.

Zhao, Can & Xiaojun Lin. (2010). On the queue-overflow probabilities of a class of distributed scheduling algorithms. Computer Networks. 55(1). 343–355. 2 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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