Diwei Zhou

600 total citations
24 papers, 315 citations indexed

About

Diwei Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diwei Zhou has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Management Science and Operations Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diwei Zhou's work include Advanced Neuroimaging Techniques and Applications (8 papers), Optimization and Search Problems (3 papers) and Advanced MRI Techniques and Applications (3 papers). Diwei Zhou is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), Optimization and Search Problems (3 papers) and Advanced MRI Techniques and Applications (3 papers). Diwei Zhou collaborates with scholars based in United Kingdom, China and United States. Diwei Zhou's co-authors include Ian L. Dryden, Alexey Koloydenko, Shuguang Han, Issaka Ndekugri, Xianjin Cui, Philip J. Blower, Krisztián Szigeti, Bai Li, Dániel Sándor Veres and Domokos Máthé and has published in prestigious journals such as ACS Nano, Chemical Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Diwei Zhou

23 papers receiving 310 citations

Peers

Diwei Zhou

RNMI

CVPR

Ambedkar Dukkipati India

Takashi Takenouchi Japan

Juan Domingo Spain

R. U. Gobithaasan Malaysia

Abhishek Bhattacharya India

Dan Kushnir United States

Wei Qian China

James Lo United States

Qing Mai United States

Alasdair McAndrew Australia

Ambedkar Dukkipati India

Diwei Zhou

42 ×0.6

RNMI

88 ×1.3

CVPR

136 ×2.2

9 ×0.2

26 ×0.7

Citations per year, relative to Diwei Zhou Diwei Zhou (= 1×) peers Ambedkar Dukkipati

Countries citing papers authored by Diwei Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Diwei Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diwei Zhou

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

Li, Lisha, Lei Zhao, Diwei Zhou, et al.. (2025). Targeting pyroptosis reverses KIAA1199-mediated immunotherapy resistance in colorectal cancer. Journal for ImmunoTherapy of Cancer. 13(2). e010000–e010000. 2 indexed citations

Guo, Zhiling, Zifu Li, Fu‐Gang Zhao, et al.. (2025). Prediction of Metal Nanoparticle Interactions with Soil Properties: Machine Learning Insights into Soil Health Dynamics. ACS Nano. 19(23). 21629–21643.

Zhou, Diwei, Justin Keogh, YingLiang Ma, et al.. (2025). Artificial intelligence in sport: A narrative review of applications, challenges and future trends. Journal of Sports Sciences. 1–16. 5 indexed citations

Zhang, Yuting, Boyang Liu, Karina V Bunting, et al.. (2024). Development of automated neural network prediction for echocardiographic left ventricular ejection fraction. Frontiers in Medicine. 11. 1354070–1354070. 8 indexed citations

Bağcı, Ulaş, Jayaram K. Udupa, Xinjian Chen, et al.. (2023). Object Localization Using Non-Euclidean Metrics. 1–7. 1 indexed citations

Sălăgean, Ana, et al.. (2023). Automatic Selective Encryption of DICOM Images. Applied Sciences. 13(8). 4779–4779. 5 indexed citations

Yang, Jianping, et al.. (2022). Fraction-Degree Reference Dependent Stochastic Dominance. Methodology And Computing In Applied Probability. 24(2). 1193–1219. 1 indexed citations

Kryger, Katrine Okholm, Séan Mitchell, Diwei Zhou, & Steph Forrester. (2020). Effect of football boot upper padding on shooting accuracy and velocity performance. Sports Engineering. 23(1). 1 indexed citations

Cui, Xianjin, Diwei Zhou, Rhys W. Lodge, et al.. (2019). Core–Shell NaHoF₄@TiO₂ NPs: A Labeling Method to Trace Engineered Nanomaterials of Ubiquitous Elements in the Environment. ACS Applied Materials & Interfaces. 11(21). 19452–19461. 5 indexed citations

10.

Kryger, Katrine Okholm, Séan Mitchell, Diwei Zhou, & Steph Forrester. (2018). The effect of football boot upper padding on dribbling and passing performance using a test–retest validated protocol. Sports Engineering. 21(4). 401–408. 2 indexed citations

11.

Han, Shuguang, et al.. (2017). COMPETITIVE ANALYSIS OF INTERRELATED PRICE ONLINE INVENTORY PROBLEMS WITH DEMANDS. The ANZIAM Journal. 58(3-4). 368–378. 2 indexed citations

12.

Han, Shuguang, et al.. (2017). Competitive analysis of interrelated price online inventory problems with demands. ANZIAM Journal. 58. 368–368. 2 indexed citations

13.

Fish, Andrew, et al.. (2016). Cluster Analysis of Diffusion Tensor Fields with Application to the Segmentation of the Corpus Callosum. Procedia Computer Science. 90. 15–21. 1 indexed citations

14.

Chin, Francis Y. L., Bin Fu, Shuguang Han, et al.. (2015). Competitive algorithms for unbounded one-way trading. Theoretical Computer Science. 607. 35–48. 16 indexed citations

15.

Zhou, Diwei, Ian L. Dryden, Alexey Koloydenko, & Li Bai. (2013). Procrustes Analysis for Diffusion Tensor Image Processing. International Journal of Computer Theory and Engineering. 108–113. 4 indexed citations

16.

Ndekugri, Issaka, et al.. (2013). The project insurance option in infrastructure procurement. Engineering Construction & Architectural Management. 20(3). 267–289. 10 indexed citations

17.

Zhou, Diwei. (2011). Statistical Analysis of Diffusion Tensor Imaging. Nottingham ePrints (University of Nottingham). 2 indexed citations

18.

Zhou, Diwei, Ian L. Dryden, Alexey Koloydenko, & Li Bai. (2009). Procrustes analysis of diffusion tensor data. Loughborough University Institutional Repository (Loughborough University). 1 indexed citations

19.

Zhou, Diwei, Ian L. Dryden, Alexey Koloydenko, & Li Bai. (2008). A Bayesian method with reparameterization for diffusion tensor imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 69142J–69142J. 5 indexed citations

20.

Zhou, Diwei, Keiichiro Yasuda, & Ryuichi Yokoyama. (1997). A Method to Combine Chaos and Neural Network Based on the Fixed Point Theory. IEEJ Transactions on Electronics Information and Systems. 117(5). 599–608. 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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