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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:

Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method
Zimei Zhang, Jiu-Xin Tan, Fang Wang, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 147
Hepatocellular carcinoma: molecular mechanism, targeted therapy, and biomarkers
Yu Wang, Baocheng Deng
Cancer and Metastasis Reviews (2023) Vol. 42, Iss. 3, pp. 629-652
Closed Access | Times Cited: 125
Machine learning meets omics: applications and perspectives
Rufeng Li, Lixin Li, Yungang Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 112
Hepatocellular Carcinoma in 2021: An Exhaustive Update
Cyriac Abby Philips, S Rajesh, Dinu Chandran Nair, et al.
Cureus (2021)
Open Access | Times Cited: 100
Emerging role of exosomes as biomarkers in cancer treatment and diagnosis
Niloofar Asadi Hanjani, Nazanin Esmaelizad, Saba Zanganeh, et al.
Critical Reviews in Oncology/Hematology (2021) Vol. 169, pp. 103565-103565
Closed Access | Times Cited: 81
Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma
Wojciech Książek, Michał Gandor, Paweł Pławiak
Computers in Biology and Medicine (2021) Vol. 134, pp. 104431-104431
Open Access | Times Cited: 60
Advancements in the Diagnosis of Hepatocellular Carcinoma
Natalia Salinas Parra, Heather M. Ross, Adnan Khan, et al.
International Journal of Translational Medicine (2023) Vol. 3, Iss. 1, pp. 51-65
Open Access | Times Cited: 31
Construction and validation of a nomogram for HBV-related hepatocellular carcinoma: A large, multicenter study
Ke Su, Qiuni Shen, Jian Tong, et al.
Annals of Hepatology (2023) Vol. 28, Iss. 4, pp. 101109-101109
Open Access | Times Cited: 29
Current Status and Analysis of Machine Learning in Hepatocellular Carcinoma
Sijia Feng, Jianhua Wang, Liheng Wang, et al.
Journal of Clinical and Translational Hepatology (2023) Vol. 000, Iss. 000, pp. 000-000
Open Access | Times Cited: 23
Prediction of drug-target interactions based on multi-layer network representation learning
Yifan Shang, Lin Gao, Quan Zou, et al.
Neurocomputing (2020) Vol. 434, pp. 80-89
Closed Access | Times Cited: 62
Critical downstream analysis steps for single-cell RNA sequencing data
Zilong Zhang, Feifei Cui, Chen Lin, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 49
A new portable toluidine blue/aptamer complex-on-polyethyleneimine-coated gold nanoparticles-based sensor for label-free electrochemical detection of alpha-fetoprotein
Patrawadee Yaiwong, Siriporn Anuthum, Padchanee Sangthong, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 17
Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms
Gehad Ismail Sayed, Mona Solyman, Gamalat El Gedawy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 406-420
Open Access | Times Cited: 44
Prediction of Anticancer Peptides Using a Low-Dimensional Feature Model
Qingwen Li, Wenyang Zhou, Donghua Wang, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 39
Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms
Abdülkadir Atalan
Agribusiness (2022) Vol. 39, Iss. 1, pp. 214-241
Closed Access | Times Cited: 23
A computational framework of routine test data for the cost-effective chronic disease prediction
Mingzhu Liu, Jianzhong Zhou, Qilemuge Xi, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 13
Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus
Xue-Qin Xie, Changchun Wu, Cai-Yi Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124702-124702
Closed Access | Times Cited: 5
Biosensing of Alpha-Fetoprotein: A Key Direction toward the Early Detection and Management of Hepatocellular Carcinoma
Lohit Ramachandran, Farah Abul Rub, Amro Hajja, et al.
Biosensors (2024) Vol. 14, Iss. 5, pp. 235-235
Open Access | Times Cited: 4
Point-of-care testing for early-stage liver cancer diagnosis and personalized medicine: biomarkers, current technologies and perspectives
Mengxiang Liu, Yanrong Wen
Heliyon (2024) Vol. 10, Iss. 19, pp. e38444-e38444
Open Access | Times Cited: 4
Gene selection and liver classification using machine learning
Sachinkumar Anandpal Goswami, Kashyap C. Patel, Saurabh Dave
Elsevier eBooks (2025), pp. 135-143
Closed Access
Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels
Mehdi Imani, Ali Beikmohammadi, Hamid R. Arabnia
Technologies (2025) Vol. 13, Iss. 3, pp. 88-88
Open Access
Applications of gene pair methods in clinical research: advancing precision medicine
Changchun Wu, Xuejun Xie, Xin Yang, et al.
Molecular Biomedicine (2025) Vol. 6, Iss. 1
Open Access
Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
Wojciech Książek, Mohamed Hammad, Paweł Pławiak, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1512-1524
Closed Access | Times Cited: 37
A practical nomogram and risk stratification system predicting the cancer‐specific survival for patients with early hepatocellular carcinoma
Bing Yan, Bingbing Su, Dousheng Bai, et al.
Cancer Medicine (2020) Vol. 10, Iss. 2, pp. 496-506
Open Access | Times Cited: 32
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