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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 in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases
Anita K. Bakrania, Narottam Joshi, Xun Zhao, et al.
Pharmacological Research (2023) Vol. 189, pp. 106706-106706
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Latest advances in hepatocellular carcinoma management and prevention through advanced technologies
Tamer A. Addissouky, Ibrahim El Tantawy El Sayed, Majeed M. A. Ali, et al.
Egyptian Liver Journal (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Applications of nanotechnologies for miRNA-based cancer therapeutics: current advances and future perspectives
Luis Alberto Bravo-Vázquez, Andrea Méndez-García, Alma L. Rodríguez, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 25
The Role of Artificial Intelligence in the Detection and Implementation of Biomarkers for Hepatocellular Carcinoma: Outlook and Opportunities
Arian Mansur, Andrea Vrionis, Jonathan Charles, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2928-2928
Open Access | Times Cited: 22
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: 10
Applications of machine learning and deep learning in medical diagnosis
Shailendra Chouhan, Hemant Khambete, Sanjay Jain
Elsevier eBooks (2025), pp. 47-82
Closed Access
Nanotechnology and Artificial Intelligence in Cancer Treatment
Yashdeep Mukheja, Kashish Pal, Akanksha Ahuja, et al.
Next research. (2025), pp. 100179-100179
Closed Access
A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases
Ling-Zhi Tang, Zitian Zhang, Jinzhu Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1528-1539
Closed Access | Times Cited: 5
Nanomaterials for Targeting Liver Disease: Research Progress and Future Perspectives
Yinghua Wu, Junfeng Zhang, Wen He, et al.
Nano Biomedicine and Engineering (2023) Vol. 15, Iss. 2, pp. 199-224
Open Access | Times Cited: 11
Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation
Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, et al.
Jurnal Online Informatika (2024) Vol. 9, Iss. 1, pp. 70-79
Open Access | Times Cited: 3
Adaptive Method for Exploring Deep Learning Techniques for Subtyping and Prediction of Liver Disease
Ali Hendi, Mohammad Alamgir Hossain, Naif A. Majrashi, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1488-1488
Open Access | Times Cited: 2
Bibliometric analysis of the global scientific production on machine learning applied to different cancer types
Miguel Ángel Ruiz-Fresneda, Alfonso Gijón, Pablo Morales-Álvarez
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96125-96137
Open Access | Times Cited: 5
Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancer via cell-cell communication
Juntao Li, Hongmei Zhang, Wei Wang, et al.
World Journal of Gastroenterology (2024) Vol. 30, Iss. 11, pp. 1609-1620
Open Access | Times Cited: 1
AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation
Hang Qi, Weijiang Wang, Yueting Shi, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106397-106397
Closed Access | Times Cited: 1
Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis
Alireza Baniasadi Dahooiyeh, Jeeban P. Das, Conor M. Prendergast, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
Jaspreet Kaur, Prabhpreet Kaur
Computers in Biology and Medicine (2024) Vol. 179, pp. 108910-108910
Closed Access | Times Cited: 1
Liver Cancer Diagnosis: Enhanced Deep Maxout Model with Improved Feature Set
V. Tejaswi, Venubabu Rachapudi
Cancer Investigation (2024) Vol. 42, Iss. 8, pp. 710-725
Closed Access | Times Cited: 1
Synthesis, and discovery of a potential anti-HepG2 agents: Coumarin derivatives containing 3-Aryl isoxazolyl moiety
Li-Mei Jia, Shaoling Huang, Wei-Gao Pan, et al.
Journal of Molecular Structure (2023) Vol. 1290, pp. 135892-135892
Closed Access | Times Cited: 3
RNA nanomedicine in liver diseases
Anita K. Bakrania, Yulin Mo, Gang Zheng, et al.
Hepatology (2023)
Closed Access | Times Cited: 3
Chronic Liver Diseases: What is Up?
Sharmila Fagoonee, Pietro Invernizzi
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 613-613
Open Access
Automated Liver Tumor Segmentation in DCE-MRI with 4D Deep Learning Integrating 3D CNNS and ConvLSTM
Sriram Sriram, Karthik
Deleted Journal (2024) Vol. 2, Iss. 04, pp. 1010-1018
Open Access
Insights into ALD and AUD diagnosis and prognosis: Exploring AI and multimodal data streams
Praveena Narayanan, Tiffany Wu, Vijay H. Shah, et al.
Hepatology (2024) Vol. 80, Iss. 6, pp. 1480-1494
Closed Access
Use Harris Hawks Optimization (HHO) Algorithm based on Artificial Neural Network for liver disease diagnosis
Haedar Emad Sharef Alsafi, Hadeel Alsalihi, Jorge Munilla
Proceedings of international conference on intelligent systems and new applications. (2024)
Open Access
The Importance of Biotinylation for the Suitability of Cationic and Neutral Fourth-Generation Polyamidoamine Dendrimers as Targeted Drug Carriers in the Therapy of Glioma and Liver Cancer
Łukasz Uram, Magdalena Twardowska, Żaneta Szymaszek, et al.
Molecules (2024) Vol. 29, Iss. 18, pp. 4293-4293
Open Access
A flexible deep learning framework for liver tumor diagnosis using variable multi-phase contrast-enhanced CT scans
Shixin Huang, Xixi Nie, Kexue Pu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 10
Open Access
Future prospects of charnolosome in evidence-based personalized nanotheranostics
Sushil K. Sharma
Elsevier eBooks (2024), pp. 757-793
Closed Access
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