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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:

Clinical-Radiomic Analysis for Pretreatment Prediction of Objective Response to First Transarterial Chemoembolization in Hepatocellular Carcinoma
Mingyu Chen, Jiasheng Cao, Jiahao Hu, et al.
Liver Cancer (2021) Vol. 10, Iss. 1, pp. 38-51
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition)
Jian Zhou, Hui‐Chuan Sun, Zheng Wang, et al.
Liver Cancer (2023) Vol. 12, Iss. 5, pp. 405-444
Open Access | Times Cited: 172
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 106
A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights
Diyang Xie, Kai Zhu, Zhenggang Ren, et al.
HepatoBiliary Surgery and Nutrition (2023) Vol. 12, Iss. 2, pp. 216-228
Open Access | Times Cited: 77
Hepatic arterial infusion chemotherapy combined with anti-PD-1/PD-L1 immunotherapy and molecularly targeted agents for advanced hepatocellular carcinoma: a real world study
Weihao Zhang, Kai Zhang, Changfu Liu, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 25
Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
Zhiyuan Bo, Bo Chen, Zhengxiao Zhao, et al.
Clinical Cancer Research (2023) Vol. 29, Iss. 9, pp. 1730-1740
Open Access | Times Cited: 24
Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 12
Multiparametric MRI-based intratumoral and peritumoral radiomics for predicting the pathological differentiation of hepatocellular carcinoma
Haifeng Liu, Min Wang, Qing Wang, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy
Yonglin Hua, Zhixian Sun, Yuxin Xiao, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 7, pp. e008953-e008953
Open Access | Times Cited: 8
A Comprehensive Review on Radiomics and Deep Learning for Nasopharyngeal Carcinoma Imaging
Song Li, Yuqin Deng, Zhiling Zhu, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1523-1523
Open Access | Times Cited: 41
Collagen I-DDR1 signaling promotes hepatocellular carcinoma cell stemness via Hippo signaling repression
Yixiao Xiong, Xiaochao Zhang, Jinghan Zhu, et al.
Cell Death and Differentiation (2023) Vol. 30, Iss. 7, pp. 1648-1665
Open Access | Times Cited: 20
Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma
Xijuan Ma, Xianling Qian, Qing Wang, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1296-1309
Open Access | Times Cited: 20
Contrast-Enhanced CT Imaging Features Combined with Clinical Factors to Predict the Efficacy and Prognosis for Transarterial Chemoembolization of Hepatocellular Carcinoma
Zhongqi Sun, Zhongxing Shi, Yanjie Xin, et al.
Academic Radiology (2023) Vol. 30, pp. S81-S91
Open Access | Times Cited: 19
Current status and future perspectives of radiomics in hepatocellular carcinoma
João Miranda, Natally Horvat, Gilton Marques Fonseca, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 1, pp. 43-60
Open Access | Times Cited: 16
Application of Radiomics in the Efficacy Evaluation of Transarterial Chemoembolization for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
Yingxuan Wang, Min� Li, Zhe Zhang, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 273-285
Closed Access | Times Cited: 16
Predicting Survival Using Whole-Liver MRI Radiomics in Patients with Hepatocellular Carcinoma After TACE Refractoriness
Chao Yang, Hongcai Yang, Yingen Luo, et al.
CardioVascular and Interventional Radiology (2024) Vol. 47, Iss. 7, pp. 964-977
Closed Access | Times Cited: 5
Prediction of treatment response and outcome of transarterial chemoembolization in patients with hepatocellular carcinoma using artificial intelligence: A systematic review of efficacy
Pedram Keshavarz, Nariman Nezami, Fereshteh Yazdanpanah, et al.
European Journal of Radiology (2025), pp. 111948-111948
Open Access
Intratumoral and peritumoral radiomics using multi-phase contrast-enhanced CT for diagnosis of renal oncocytoma and chromophobe renal cell carcinoma: a multicenter retrospective study
Yongsong Ye, Bin-Qi Weng, Yan Guo, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Dual Functional Radioactive Gel‐Microspheres for Combinatorial Radioembolization and Photothermal Therapy of Hepatocellular Carcinoma
Jing Sun, Xingwei Sun, Liang Yin, et al.
Advanced Healthcare Materials (2025)
Open Access
Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning
Jie Peng, Jinhua Huang, Guijia Huang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 37
Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma
Vincenza Granata, Roberta Grassi, Roberta Fusco, et al.
Infectious Agents and Cancer (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 36
Radiomics analysis of pretreatment MRI in predicting tumor response and outcome in hepatocellular carcinoma with transarterial chemoembolization: a two-center collaborative study
Qiuping Liu, Kailan Yang, Xun Xu, et al.
Abdominal Radiology (2021) Vol. 47, Iss. 2, pp. 651-663
Closed Access | Times Cited: 35
Magnetic Resonance Imaging‐Based Radiomics Features Associated with Depth of Invasion Predicted Lymph Node Metastasis and Prognosis in Tongue Cancer
Fei Wang, Rukeng Tan, Jianfeng Liang, et al.
Journal of Magnetic Resonance Imaging (2021) Vol. 56, Iss. 1, pp. 196-209
Open Access | Times Cited: 34
Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection
I‐Cheng Lee, Jo-Yu Huang, Ting‐Chun Chen, et al.
Liver Cancer (2021) Vol. 10, Iss. 6, pp. 572-582
Open Access | Times Cited: 33
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
Cyra Y. Kang, Samantha Duarte, Hye Sung Kim, et al.
The Oncologist (2022) Vol. 27, Iss. 6, pp. e471-e483
Open Access | Times Cited: 25
Noninvasive evaluation of neutrophil extracellular traps signature predicts clinical outcomes and immunotherapy response in hepatocellular carcinoma
Hongjie Xin, Qianwei Lai, Yuchen Zhou, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 15
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