Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
Zhe Zhang, Xiawei Wei
Seminars in Cancer Biology (2023) Vol. 90, pp. 57-72
Closed Access | Times Cited: 24

Showing 24 citing articles:

Empowering personalized pharmacogenomics with generative AI solutions
Mullai Murugan, Bo Yuan, Eric Venner, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 6, pp. 1356-1366
Open Access | Times Cited: 20
Strategies of Artificial intelligence tools in the domain of nanomedicine
Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 91, pp. 105157-105157
Closed Access | Times Cited: 25
Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice
Loïc Verlingue, C Boyer, Louise Olgiati, et al.
The Lancet Regional Health - Europe (2024) Vol. 46, pp. 101064-101064
Closed Access | Times Cited: 5
Invasion and metastasis in cancer: molecular insights and therapeutic targets
Yongxing Li, Fengshuo Liu, Qingjin Cai, et al.
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access
A Machine Learning Approach Using [18F]FDG PET-Based Radiomics for Prediction of Tumor Grade and Prognosis in Pancreatic Neuroendocrine Tumor
Yongjin Park, Young Suk Park, Seung Tae Kim, et al.
Molecular Imaging and Biology (2023) Vol. 25, Iss. 5, pp. 897-910
Closed Access | Times Cited: 9
Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
Annalisa Occhipinti, Suraj Verma, Le Minh Thao Doan, et al.
Trends in Cell Biology (2023) Vol. 34, Iss. 2, pp. 85-89
Open Access | Times Cited: 7
Epithelial–mesenchymal transition to Mitigate Age-Related Progression in Lung Cancer
Riya Thapa, Saurabh Gupta, Gaurav Gupta, et al.
Ageing Research Reviews (2024) Vol. 102, pp. 102576-102576
Closed Access | Times Cited: 2
Molecular dynamics simulations for the structure-based drug design: targeting small-GTPases proteins
Angela Parise, Sofia Cresca, Alessandra Magistrato
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 10, pp. 1259-1279
Closed Access | Times Cited: 1
Possible integration of artificial intelligence with photodynamic therapy and diagnosis: A review
Nkune Williams Nkune, Heidi Abrahamse
Journal of Drug Delivery Science and Technology (2024) Vol. 101, pp. 106210-106210
Open Access | Times Cited: 1
Optimization of diagnosis and treatment of hematological diseases via artificial intelligence
Shixuan Wang, Zoufang Huang, Jing Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Artificial intelligence, medications, pharmacogenomics, and ethics
Susanne B. Haga
Pharmacogenomics (2024), pp. 1-12
Closed Access | Times Cited: 1
Pan‐cancer analysis: SPAG5 is an immunological and prognostic biomarker for multiple cancers
Xiaofeng Gao, Huitong Bu, Xuzheng Gao, et al.
The FASEB Journal (2023) Vol. 37, Iss. 10
Closed Access | Times Cited: 3
Overview of Applications of Artificial Intelligence (AI) in Diverse Fields
Nikki Kuhar, Poonam Kumria, S. Vijaya Rani
(2024), pp. 41-83
Closed Access
Empowering Personalized Pharmacogenomics with Generative AI Solutions
Mullai Murugan, Bo Yuan, Eric Venner, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross‐sectional imaging
J. Davis, Muhammad Khalid Khan Niazi, Ansley Beth Ricker, et al.
Journal of Surgical Oncology (2024) Vol. 130, Iss. 1, pp. 93-101
Open Access
Critical Appraisal and Future Challenges of Artificial Intelligence and Anticancer Drug Development
Emmanuel Chamorey, Jocelyn Gal, Baharia Mograbi, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 7, pp. 816-816
Open Access
Navigating the Artificial Intelligence Revolution in NeuroOncology: A Multidisciplinary Viewpoint
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, et al.
(2024)
Closed Access
Navigating the Artificial Intelligence Revolution in NeuroOncology: A Multidisciplinary Viewpoint
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, et al.
Neurocomputing (2024), pp. 129220-129220
Closed Access
Research Hotspots and Trends of Artificial Intelligence in Oncology Precision Medicine: A Bibliometric Analysis
Jianyu Zeng, Shihua Cao, Shuying Shen, et al.
(2024), pp. 332-337
Closed Access
Identification and validation of m6A-GPI signatures as a novel prognostic model for colorectal cancer
Bin Ma, Simeng Bao, Yongmin Li
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 1
CT radiomics for noninvasively predicting NQO1 expression levels in hepatocellular carcinoma
Z. He, Xiaoyong Shen, Bin Wang, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0290900-e0290900
Open Access | Times Cited: 1
Application of artificial intelligence in oncology
Xuelei Ma, Qi Zhao
Seminars in Cancer Biology (2023) Vol. 97, pp. 68-69
Closed Access | Times Cited: 1
Machine learning-based overall and cancer-specific survival prediction of M0 penile squamous cell carcinoma：A population-based retrospective study
Di Chen, Shengsheng Liang, Jinji Chen, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23442-e23442
Open Access
The Impact of Advanced Neural Network Architectures for Extracting Elusive Information
Renu Kachhoria, Love Mittal, Prakash Divakaran, et al.
(2023), pp. 1-6
Closed Access
Page 1

Scroll to top