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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics
Chengyue Wu, David A. Hormuth, Guillermo Lorenzo, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 11, pp. 3334-3344
Open Access | Times Cited: 20

Showing 20 citing articles:

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth, et al.
Annual Review of Biomedical Engineering (2024) Vol. 26, Iss. 1, pp. 529-560
Open Access | Times Cited: 22
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Chengyue Wu, Guillermo Lorenzo, David A. Hormuth, et al.
Biophysics Reviews (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 67
MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Chengyue Wu, Angela M. Jarrett, Zijian Zhou, et al.
Cancer Research (2022) Vol. 82, Iss. 18, pp. 3394-3404
Open Access | Times Cited: 44
Computational approaches to modelling and optimizing cancer treatment
Thomas O. McDonald, Yu-Chen Cheng, Christopher Graser, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 10, pp. 695-711
Closed Access | Times Cited: 25
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens
Chengyue Wu, Ernesto A. B. F. Lima, Casey Stowers, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data
David A. Hormuth, Caleb M. Phillips, Chengyue Wu, et al.
Cancers (2021) Vol. 13, Iss. 12, pp. 3008-3008
Open Access | Times Cited: 43
Image-based predictive modelling frameworks for personalised drug delivery in cancer therapy
Ajay Bhandari, Boram Gu, Farshad Moradi Kashkooli, et al.
Journal of Controlled Release (2024) Vol. 370, pp. 721-746
Open Access | Times Cited: 7
Designing clinical trials for patients who are not average
Thomas E. Yankeelov, David A. Hormuth, Ernesto A. B. F. Lima, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108589-108589
Open Access | Times Cited: 16
A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model
Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss, et al.
Cancer Research Communications (2024) Vol. 4, Iss. 3, pp. 617-633
Open Access | Times Cited: 6
A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin
Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, et al.
Cancer Biology & Therapy (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
Macroscopic transport models for drugs and vehicles in cancer tissues
Álvaro González‐Garcinuño, Antonio Tabernero, Eva M. Martín del Valle
Physical Sciences Reviews (2025)
Closed Access
Optimizing combination therapy in a murine model of HER2+ breast cancer
Ernesto A. B. F. Lima, Reid A.F. Wyde, Anna G. Sorace, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 402, pp. 115484-115484
Open Access | Times Cited: 11
A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data
Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, et al.
Engineering With Computers (2023) Vol. 40, Iss. 3, pp. 1469-1499
Open Access | Times Cited: 4
Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer
Zhen Ren, Federico Pineda, Frederick M. Howard, et al.
Magnetic Resonance Imaging (2023) Vol. 104, pp. 9-15
Open Access | Times Cited: 2
A phase-field model for non-small cell lung cancer under the effects of immunotherapy
Andreas Wagner, Pirmin Schlicke, Marvin Fritz, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 10, pp. 18670-18694
Open Access | Times Cited: 2
A phase-field model for non-small cell lung cancer under the effects of immunotherapy
A Wagner, Pirmin Schlicke, Marvin Fritz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Image-guided patient-specific prediction of interstitial fluid flow and drug transport in solid tumors
Hooman Salavati, Pim Pullens, Charlotte Debbaut, et al.
Journal of Controlled Release (2024) Vol. 378, pp. 899-911
Closed Access
Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Chengyue Wu, Angela M. Jarrett, Zijian Zhou, et al.
(2023)
Open Access
Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Chengyue Wu, Angela M. Jarrett, Zijian Zhou, et al.
(2023)
Open Access
2022 Index IEEE Transactions on Biomedical Engineering Vol. 69

IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 12, pp. 3836-3924
Open Access
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