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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:

Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians
Michele Porcu, Cinzia Solinas, Lorenzo Mannelli, et al.
Critical Reviews in Oncology/Hematology (2020) Vol. 154, pp. 103068-103068
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A deep look into radiomics
Camilla Scapicchio, Michela Gabelloni, Andrea Barucci, et al.
La radiologia medica (2021) Vol. 126, Iss. 10, pp. 1296-1311
Open Access | Times Cited: 277
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2493-2493
Open Access | Times Cited: 162
Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine
Sanjay Saxena, Biswajit Jena, Neha Gupta, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2860-2860
Open Access | Times Cited: 87
Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
Mohamad Hesam Shahrajabian, Wenli Sun
Current Pharmaceutical Analysis (2023) Vol. 19, Iss. 4, pp. 267-281
Closed Access | Times Cited: 53
Radiomics and Its Feature Selection: A Review
Wenchao Zhang, Yu Guo, Qiyu Jin
Symmetry (2023) Vol. 15, Iss. 10, pp. 1834-1834
Open Access | Times Cited: 43
Breast MRI: Clinical Indications, Recommendations, and Future Applications in Breast Cancer Diagnosis
Demi Wekking, Michele Porcu, Pushpamali De Silva, et al.
Current Oncology Reports (2023) Vol. 25, Iss. 4, pp. 257-267
Closed Access | Times Cited: 29
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: 25
Role of cardiac MRI in the diagnosis of immune checkpoint inhibitor‐associated myocarditis
Riccardo Cau, Cinzia Solinas, Pushpamali De Silva, et al.
International Journal of Cancer (2022) Vol. 151, Iss. 11, pp. 1860-1873
Open Access | Times Cited: 27
The Role of Radiomics in the Era of Immune Checkpoint Inhibitors: A New Protagonist in the Jungle of Response Criteria
Angelo Castello, Massimo Castellani, Luigia Florimonte, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 6, pp. 1740-1740
Open Access | Times Cited: 22
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
A machine learning model utilizing CT radiomics features and peripheral blood inflammatory markers predicts the prognosis of patients with unresectable esophageal squamous cell carcinoma undergoing PD-1 inhibitor combined with concurrent chemoradiotherapy
Xudong Liu, Fei Gao, Shusheng Wu, et al.
Journal of Cancer (2025) Vol. 16, Iss. 6, pp. 2001-2014
Open Access
Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence
Nari Kim, Eun Sung Lee, Sang Eun Won, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 11, pp. 1089-1089
Open Access | Times Cited: 18
Radiomics using computed tomography to predict CD73 expression and prognosis of colorectal cancer liver metastases
Ralph Saber, David Henault, Nouredin Messaoudi, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 10
Primary adrenal insufficiency induced by immune checkpoint inhibitors: biological, clinical, and radiological aspects
Serafina Martella, M.W. Lucas, Michele Porcu, et al.
Seminars in Oncology (2023) Vol. 50, Iss. 6, pp. 144-148
Open Access | Times Cited: 8
When artificial intelligence meets PD-1/PD-L1 inhibitors: Population screening, response prediction and efficacy evaluation
Weiqiu Jin, Qingquan Luo
Computers in Biology and Medicine (2022) Vol. 145, pp. 105499-105499
Closed Access | Times Cited: 12
Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study
Ying-Hao Xiang, Huan Mou, Bo Qu, et al.
World Journal of Gastrointestinal Surgery (2024) Vol. 16, Iss. 2, pp. 345-356
Open Access | Times Cited: 2
A review of immune checkpoint blockade in breast cancer
Benedetta Pellegrino, Chiara Tommasi, Olga Elisabetta Cursio, et al.
Seminars in Oncology (2021) Vol. 48, Iss. 3, pp. 208-225
Open Access | Times Cited: 14
A Focus on the Synergy of Radiomics and RNA Sequencing in Breast Cancer
Davide Bellini, Marika Milan, Antonella Bordin, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 8, pp. 7214-7214
Open Access | Times Cited: 5
Application and constraints of AI in radiomics and radiogenomics (R-n-R) studies of neuro-oncology
Shovna Panda, Sarthak Padhi, VikasKumar Gupta, et al.
Elsevier eBooks (2024), pp. 267-300
Closed Access | Times Cited: 1
CT radiomics to predict pathologic complete response after neoadjuvant immunotherapy plus chemoradiotherapy in locally advanced esophageal squamous cell carcinoma
Liqiang Shi, Chengqiang Li, Yaya Bai, et al.
European Radiology (2024)
Closed Access | Times Cited: 1
Radiomics signature based on CECT for non-invasive prediction of response to anti-PD-1 therapy in patients with hepatocellular carcinoma
Hao Cui, Lin Zeng, R. Li, et al.
Clinical Radiology (2022) Vol. 78, Iss. 2, pp. e37-e44
Closed Access | Times Cited: 7
Radiomics features from perihematomal edema for prediction of prognosis in the patients with basal ganglia hemorrhage
Peng Zhou, Quanye Sun, Gesheng Song, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 6
The role of mammography in breast cancer radiomics
Veronika G. Govorukhina, Serafim S. Semenov, Pavel Gelezhe, et al.
Digital Diagnostics (2021) Vol. 2, Iss. 2, pp. 185-199
Open Access | Times Cited: 6
Can PD-L1 expression be predicted by contrast-enhanced CT in patients with gastric adenocarcinoma? a preliminary retrospective study
Xiaolong Gu, Xianbo Yu, Gaofeng Shi, et al.
Abdominal Radiology (2022) Vol. 48, Iss. 1, pp. 220-228
Open Access | Times Cited: 4
WITHDRAWN: Clinical study on forecasting the prognosis of patients with cerebellar hemorrhage based on CT radiomics models
Yuhang Liu, Zexiang Liu, Jianfeng Qi, et al.
Neuroscience Informatics (2024), pp. 100163-100163
Open Access
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