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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:

Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer
Xiaomeng Yin, Hu Liao, Yun Hong, et al.
Seminars in Cancer Biology (2022) Vol. 86, pp. 146-159
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Mitchell Chen, Susan J. Copley, Patrizia Viola, et al.
Seminars in Cancer Biology (2023) Vol. 93, pp. 97-113
Open Access | Times Cited: 65
Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology
Zhe Wang, Yang Liu, Xing Niu
Seminars in Cancer Biology (2023) Vol. 93, pp. 83-96
Closed Access | Times Cited: 41
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xin-Yue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 38
Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes
Zainab Gandhi, Priyatham Gurram, Birendra Amgai, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5236-5236
Open Access | Times Cited: 32
Non-small cell lung cancer patients treated with Anti-PD1 immunotherapy show distinct microbial signatures and metabolic pathways according to progression-free survival and PD-L1 status
Dávid Dóra, Balázs Ligeti, Tamás Kovács, et al.
OncoImmunology (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review
Jiaqing Yang, Jing Huang, Deqian Han, et al.
Clinical Medicine Insights Oncology (2024) Vol. 18
Open Access | Times Cited: 9
Mass Spectrometry-Based Proteomics Workflows in Cancer Research: The Relevance of Choosing the Right Steps
Paula Carrillo-Rodríguez, Frode Selheim, Maria Hernandez-Valladares
Cancers (2023) Vol. 15, Iss. 2, pp. 555-555
Open Access | Times Cited: 18
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Yichen Meng, Yue Yang, Miao Hu, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 75-87
Closed Access | Times Cited: 18
Current challenges and practical aspects of molecular pathology for non-small cell lung cancers
Paul Hofman, Sabina Berezowska, Daniel Kazdal, et al.
Virchows Archiv (2023) Vol. 484, Iss. 2, pp. 233-246
Open Access | Times Cited: 18
Immunotherapy for lung cancer
Girshani Sathish, L.K. Monavarshini, Keerthi Sundaram, et al.
Pathology - Research and Practice (2024) Vol. 254, pp. 155104-155104
Closed Access | Times Cited: 6
Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Radiotherapy and Oncology (2024) Vol. 191, pp. 110082-110082
Closed Access | Times Cited: 5
Mechanisms and Strategies of Immunosenescence Effects on Non-Small Cell Lung Cancer (NSCLC) Treatment: A Comprehensive Analysis and Future Directions
Huatao Zhou, Zilong Zheng, Chengming Fan, et al.
Seminars in Cancer Biology (2025) Vol. 109, pp. 44-66
Closed Access
Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions
David B. Olawade, Aanuoluwapo Clement David-Olawade, Temitope Adereni, et al.
Diseases (2025) Vol. 13, Iss. 1, pp. 24-24
Open Access
Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Utopia 2070
Saina Adiban Afkham, Soroush Mirdehghan
(2025), pp. 1-17
Closed Access
Application of Immune Checkpoint Inhibitors in the Treatment of Renal Cell Carcinoma: Current Status, Challenges, and Future Directions
Lingxiang Ran, Rui Zhao, Li Yu, et al.
(2025) Vol. 1, Iss. 1, pp. 1-54
Closed Access
Towards the Prediction of Responses to Cancer Immunotherapy: A Multi-Omics Review
Weichu Tao, Qian Sun, Bingxiang Xu, et al.
Life (2025) Vol. 15, Iss. 2, pp. 283-283
Open Access
18F-FDG PET/CT-based intratumoral and peritumoral radiomics combining ensemble learning for prognosis prediction in hepatocellular carcinoma: a multi-center study
Chunxiao Sui, Kun Chen, Enci Ding, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Tailored therapies for triple-negative breast cancer: current landscape and future perceptions
Yumna Khan, Sana Rizvi, Ali Raza, et al.
Naunyn-Schmiedeberg s Archives of Pharmacology (2025)
Closed Access
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
Novel tools for early diagnosis and precision treatment based on artificial intelligence
Jun Shao, Jiaming Feng, Jingwei Li, et al.
Chinese Medical Journal - Pulmonary and Critical Care Medicine (2023) Vol. 1, Iss. 3, pp. 148-160
Open Access | Times Cited: 12
Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study
Bo Chen, Yicheng Mao, Jiacheng Li, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107612-107612
Open Access | Times Cited: 11
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review
Xinyu Ge, Jianxiong Gao, Rong Niu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Effects of Interobserver Segmentation Variability and Intensity Discretization on MRI-Based Radiomic Feature Reproducibility of Lipoma and Atypical Lipomatous Tumor
Salvatore Gitto, Renato Cuocolo, Vincenzo Giannetta, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1187-1200
Open Access | Times Cited: 2
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