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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:

Network-based machine learning approach to predict immunotherapy response in cancer patients
JungHo Kong, Doyeon Ha, Juhun Lee, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 129

Showing 26-50 of 129 citing articles:

Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning
Jianyong Liu, Pengjie Wu, Shicong Lai, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Artificial intelligence across oncology specialties: current applications and emerging tools
John Kang, Kyle Lafata, Ellen Kim, et al.
BMJ Oncology (2024) Vol. 3, Iss. 1, pp. e000134-e000134
Open Access | Times Cited: 4
How to optimize the immune checkpoint blockade therapy for cancers?
Hui Guo, Yuchuan Hou, Chunxi Wang, et al.
ONCOLOGIE (2024) Vol. 26, Iss. 3, pp. 343-348
Open Access | Times Cited: 4
A muti-modal feature fusion method based on deep learning for predicting immunotherapy response
Xiong Li, Xuan Feng, Juan Zhou, et al.
Journal of Theoretical Biology (2024) Vol. 586, pp. 111816-111816
Closed Access | Times Cited: 4
Multi-omics based artificial intelligence for cancer research
Lusheng Li, Mengtao Sun, Jieqiong Wang, et al.
Advances in cancer research (2024), pp. 303-356
Closed Access | Times Cited: 4
Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors
Laura D’Orsi, Biagio Capasso, Giuseppe Lamacchia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11588-11588
Open Access | Times Cited: 4
Peptides as Versatile Regulators in Cancer Immunotherapy: Recent Advances, Challenges, and Future Prospects
Yu Lei, Jiacheng Liu, Yaowei Bai, et al.
Pharmaceutics (2025) Vol. 17, Iss. 1, pp. 46-46
Open Access
Application progress of artificial intelligence in tumor diagnosis and treatment
Fan Sun, Li Zhang, Zhongsheng Tong
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis
Xiaobao Ding, Lin Zhang, Ming Fan, et al.
npj Systems Biology and Applications (2025) Vol. 11, Iss. 1
Open Access
A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genes
Aishwarya Jayagopal, Robert J. Walsh, Krishna Kumar Hariprasannan, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 111992-111992
Open Access
Synergizing metabolomics and artificial intelligence for advancing precision oncology
Yipeng Xu, Xiao-Juan Jiang, Zeping Hu
Trends in Molecular Medicine (2025)
Closed Access
Exploring Immune Checkpoint Inhibitors: Focus on PD-1/PD-L1 Axis and Beyond
Durre Aden, Samreen Zaheer, Niti Sureka, et al.
Pathology - Research and Practice (2025) Vol. 269, pp. 155864-155864
Closed Access
Smart nanomedicines powered by artificial intelligence: a breakthrough in lung cancer diagnosis and treatment
Moloudosadat Alavinejad, Moein Shirzad, Mohammad Javad Javid-Naderi, et al.
Medical Oncology (2025) Vol. 42, Iss. 5
Closed Access
Advancements in the Application of the Intersection of Medicine and Engineering in Cancer Research
Haitao Chen, Guan-Meng Zhang, Yuping Qian, et al.
(2025)
Open Access
Global research trends and focus on immunotherapy for endometrial cancer: a comprehensive bibliometric insight and visualization analysis (2012-2024)
Yachen Xu, Tao Wang, Xiaojing Liang, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Recent Progress in the Design and Application of Machine Learning for the Hydrogen Evolution Reaction in Electrocatalysis and Photocatalysis
Kaifeng Zhang, Xudong Wang, Yanjing Su
Materials Today Communications (2025), pp. 112462-112462
Closed Access
Single-cell and spatial transcriptomic analyses revealing tumor microenvironment remodeling after neoadjuvant chemoimmunotherapy in non-small cell lung cancer
Xiaolu Cui, Siyuan Liu, Song He, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer
Chenghang Li, Yongchang Wei, Qun‐Ying Lei
npj Systems Biology and Applications (2025) Vol. 11, Iss. 1
Open Access
Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer
J. Daniel, Canfeng Fan, Tomoya Sano, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 5, pp. 166-166
Open Access
Gastrointestinal tumor personalized immunotherapy: an integrated analysis from molecular genetics to imaging biomarkers
Jian Guan, Xiaoling Gong, Hanjiang Zeng, et al.
Therapeutic Advances in Gastroenterology (2025) Vol. 18
Open Access
TMEImmune: A Python Package for deriving prognostic tumor micro-environment score
Q. Zhou, Leili Shahriyari
SoftwareX (2025) Vol. 30, pp. 102169-102169
Open Access
Shaping future diagnostics: advances and innovations in cancer biomarker science
M.A. Abdelsamed
Elsevier eBooks (2025), pp. 333-357
Closed Access
Improved drug response prediction by drug target data integration via network-based profiling
Minwoo Pak, Sangseon Lee, Inyoung Sung, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 10
Predictive indicators of immune therapy efficacy in hepatocellular carcinoma based on neutrophil-to-lymphocyte ratio
Shengzhe Lin, Y. Wang, Xinran Cai, et al.
International Immunopharmacology (2024) Vol. 128, pp. 111477-111477
Closed Access | Times Cited: 3
Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model
Dong-Yeon Nam, Je‐Keun Rhee
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

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