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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:

Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy
David A. Hormuth, Maguy Farhat, Chase Christenson, et al.
Advanced Drug Delivery Reviews (2022) Vol. 187, pp. 114367-114367
Open Access | Times Cited: 33

Showing 1-25 of 33 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
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
Anirban Chaudhuri, Graham Pash, David A. Hormuth, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 33
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning
Feng Zhao, Xin Sun, Yuan‐Hua Chen, et al.
Radiotherapy and Oncology (2025), pp. 110833-110833
Closed Access | Times Cited: 1
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation
Khushi C. Hiremath, Kenan Atakishi, Ernesto A. B. F. Lima, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2293
Open Access | Times Cited: 1
TME-targeted approaches of brain metastases and its clinical therapeutic evidence
Ibrar Muhammad Khan, Safir Ullah Khan, Hari Siva Sai Sala, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 18
Enhancing Medical Diagnostics: Integrating AI for precise Brain Tumour Detection
Arohee Sinha, Tarun Kumar
Procedia Computer Science (2024) Vol. 235, pp. 456-467
Open Access | Times Cited: 5
Transferrin-modified Gemcitabine Encapsulated Polymeric Nanoparticles Persuaded Apoptosis in U87MG Cells and Improved Drug Availability in Rat Brain: An Active Targeting Strategy for Treatment of Glioma
Ladi Alik Kumar, Gurudutta Pattnaik, Bhabani Sankar Satapathy, et al.
Journal of Oleo Science (2025) Vol. 74, Iss. 3, pp. 261-274
Open Access
Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review
Dandan Zheng, Kiersten Preuss, Michael T. Milano, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
Travelling Wave Solutions to a Microtube-Driven Glioma Invasion Model
Ryan Thiessen, Thomas Hillen
(2025)
Closed Access
Response to the commentary on “Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning” by Mohammad Zahid, and Heiko Enderling
Feng Zhao, Feng Zhao
Radiotherapy and Oncology (2025), pp. 110903-110903
Closed Access
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth
Baoshan Liang, Jingye Tan, Luke Lozenski, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 2865-2875
Open Access | Times Cited: 8
Modelling and simulation of anisotropic growth in brain tumours through poroelasticity: A study of ventricular compression and therapeutic protocols
Francesca Ballatore, Giulio Lucci, Chiara Giverso
Computational Mechanics (2024) Vol. 74, Iss. 5, pp. 1137-1169
Open Access | Times Cited: 2
A multifunctional targeted nano-delivery system with radiosensitization and immune activation in glioblastoma
Xin Wen, Zhiying Shao, Xueting Chen, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2
Multifocal and multicentric glioblastoma: Imaging signature, molecular characterization, patterns of spread, and treatment
Maguy Farhat, Gregory N. Fuller, Max Wintermark, et al.
The Neuroradiology Journal (2023)
Open Access | Times Cited: 5
Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making
Joseph O. Deasy
Seminars in Radiation Oncology (2024) Vol. 34, Iss. 4, pp. 379-394
Closed Access | Times Cited: 1
A data assimilation framework to predict the response of glioma cells to radiation.
Junyan Liu, David A. Hormuth, Jianchen Yang, et al.
DOAJ (DOAJ: Directory of Open Access Journals) (2023) Vol. 20, Iss. 1, pp. 318-336
Closed Access | Times Cited: 3
Targeting the physical microenvironment of tumors for drug and immunotherapy
Feng Xu, Hui Guo, Silviya P. Zustiak, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114768-114768
Open Access | Times Cited: 3
Mini-review: the distinct roles of STING signaling in tumor immunity—recent progress
Shengli Wang, Tao Li, Hongyan Sun, et al.
Journal of Leukocyte Biology (2023) Vol. 114, Iss. 2, pp. 111-115
Closed Access | Times Cited: 3
Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes
Chase Christenson, Chengyue Wu, David A. Hormuth, et al.
Brain Multiphysics (2023) Vol. 5, pp. 100084-100084
Open Access | Times Cited: 2
Modelling microtube driven invasion of glioma
Thomas Hillen, Nadia Loy, Kevin J. Painter, et al.
Journal of Mathematical Biology (2023) Vol. 88, Iss. 1
Open Access | Times Cited: 2
Eczema as a protective factor for brain cancer: a meta-analysis
Yun Zhu, Yirong Teng, Shuangyan Xu, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and AI Algorithms
Viswambari R Devi, Michael Keidar
(2023)
Open Access | Times Cited: 1
How Can We Use Mathematical Modeling of Amyloid-β in Alzheimer’s Disease Research and Clinical Practices?
Chenyin Chu, Yi Ling Low, Liwei Ma, et al.
Journal of Alzheimer s Disease (2023) Vol. 97, Iss. 1, pp. 89-100
Closed Access | Times Cited: 1
Structural and practical identifiability of contrast transport models for DCE-MRI
Martina Conte, Ryan T. Woodall, Margarita Gutova, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1012106-e1012106
Open Access
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