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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:

Dual-Energy CT Deep Learning Radiomics to Predict Macrotrabecular-Massive Hepatocellular Carcinoma
Mengsi Li, Yaheng Fan, Huayu You, et al.
Radiology (2023) Vol. 308, Iss. 2
Closed Access | Times Cited: 22

Showing 22 citing articles:

Dual-Energy CT in Oncologic Imaging
Giovanni Foti, Giorgio Ascenti, Andrea Agostini, et al.
Tomography (2024) Vol. 10, Iss. 3, pp. 299-319
Open Access | Times Cited: 9
Enhanced accuracy and stability in automated intra-pancreatic fat deposition monitoring of type 2 diabetes mellitus using Dixon MRI and deep learning
Zhongxian Pan, Qiuyi Chen, Haiwei Lin, et al.
Abdominal Radiology (2025)
Open Access
Virtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT
Chong Jiang, Chunjun Qian, Qiuhui Jiang, et al.
BMC Medicine (2025) Vol. 23, Iss. 1
Open Access
Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study
Huimin Mao, K. Chen, Bin Zhu, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Diagnostic Values of Magnetic Resonance Imaging and Computed Tomography for Predicting Macrotrabecular-Massive Hepatocellular Carcinoma Subtype: A Meta-analysis
Tian Chai, Yao Tong, Ying Yu, et al.
Academic Radiology (2025)
Closed Access
Breaking barriers: noninvasive AI model for BRAFV600E mutation identification
Fan Wu, Xiangfeng Lin, Yuying Chen, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Closed Access
Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study
Shichao Long, Mengsi Li, Juan Chen, et al.
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 3, pp. e011126-e011126
Open Access
Evaluation of a novel ensemble model for preoperative ovarian cancer diagnosis: Clinical factors, O-RADS, and deep learning radiomics
Yimin Wu, Lifang Fan, Haixin Shao, et al.
Translational Oncology (2025) Vol. 54, pp. 102335-102335
Closed Access
Non-invasive assessment of response to transcatheter arterial chemoembolization for hepatocellular carcinoma with the deep neural networks-based radiomics nomogram
Yushuang Liu, Haohuan Li, Xinhua Li, et al.
Acta Radiologica (2024) Vol. 65, Iss. 6, pp. 535-545
Closed Access | Times Cited: 4
Ultrasound-Based Radiomics for Predicting the WHO/ISUP Grading of Clear-Cell Renal Cell Carcinoma
Yue-Fan Chen, Fen Fu, Jia-Jing Zhuang, et al.
Ultrasound in Medicine & Biology (2024) Vol. 50, Iss. 11, pp. 1619-1627
Closed Access | Times Cited: 3
Leveraging radiomics and AI for precision diagnosis and prognostication of liver malignancies
Maryam Haghshomar, Darren Rodrigues, Aparna Kalyan, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Integration of new technologies in the multidisciplinary approach to primary liver tumours: The next-generation tumour board
Jean‐Charles Nault, Julien Caldéraro, Maxime Ronot
Journal of Hepatology (2024)
Open Access | Times Cited: 2
Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma
Siya Shi, Chuxuan Lin, Jian Zhou, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 1
Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection
Ying Zhao, Sen Wang, Yue Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Potential Influence of Inconsistent Arterial Phase Imaging on Macrotrabecular-massive Hepatocellular Carcinoma Prediction
Xian-Zheng Tan, Xiang Chen, Peng Liu
Radiology (2024) Vol. 310, Iss. 1
Closed Access
Systematic review and meta-analysis on the classification metrics of machine learning algorithm based radiomics in hepatocellular carcinoma diagnosis
Nurin Syazwina Mohd Haniff, Kwan Hoong Ng, Izdihar Kamal, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36313-e36313
Open Access
Enhanced Liver Imaging Reporting and Data System (LI-RADS) Through Multi-task Convolutional Neural Networks
Yinhao Li, Qingqing Chen, Rahul Kumar Jain, et al.
Intelligent systems reference library (2024), pp. 201-219
Closed Access
Identification of macrotrabecular‐massive hepatocellular carcinoma through multiphasic CT‐based representation learning method
Zhenyang Zhang, Wanli Zhang, Chutong He, et al.
Medical Physics (2024) Vol. 51, Iss. 12, pp. 9017-9030
Closed Access
Multiparametric MRI based deep learning model for prediction of early recurrence of hepatocellular carcinoma after SR following TACE
Hongyu Wang, Jinwei Li, Yu-Shu Ouyang, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 10
Open Access
MRI Tomoelastography to Assess the Combined Status of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma
Linhui Zhong, Shichao Long, Yigang Pei, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access
Radiomics and deep learning features of pericoronary adipose tissue on non-contrast computerized tomography for predicting non-calcified plaques
Junli Yu, Yan Ding, Li Wang, et al.
Journal of X-Ray Science and Technology (2024)
Closed Access
Deep learning radiomics nomograms predict Isocitrate dehydrogenase (IDH) genotypes in brain glioma: A multicenter study
Darui Li, Wanjun Hu, Laiyang Ma, et al.
Magnetic Resonance Imaging (2024), pp. 110314-110314
Closed Access
AI as Virtual Biopsy Tool to Predict Macrotrabecular-Massive Hepatocellular Carcinoma
Linda C. Chu, Elliot K. Fishman
Radiology (2023) Vol. 308, Iss. 2
Closed Access
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