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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:

What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics
Anthony M. Musolf, Emily Holzinger, James D. Malley, et al.
Human Genetics (2021) Vol. 141, Iss. 9, pp. 1515-1528
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Future implications of ChatGPT in pharmaceutical industry: drug discovery and development
Ailin Zhao, Yijun Wu
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 26
Artificial intelligence in Immuno-genetics
Raed Farzan
Bioinformation (2024) Vol. 20, Iss. 1, pp. 29-35
Open Access | Times Cited: 15
Modeling suction of unsaturated granular soil treated with biochar in plant microbial fuel cell bioelectricity system
Kennedy C. Onyelowe, Ahmed M. Ebid, R. Jiménez, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Harnessing Long-Range Temporal Correlations for Advanced Epilepsy Classification
Vadim Grubov, Alexander Kuc, Semen Kurkin, et al.
PRX Life (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Development and internal validation of machine learning models for personalized survival predictions in spinal cord glioma patients
Mert Karabacak, Alexander J. Schüpper, Matthew T. Carr, et al.
The Spine Journal (2024) Vol. 24, Iss. 6, pp. 1065-1076
Closed Access | Times Cited: 6
A review of model evaluation metrics for machine learning in genetics and genomics
Catriona Miller, Theo Portlock, Denis M. Nyaga, et al.
Frontiers in Bioinformatics (2024) Vol. 4
Open Access | Times Cited: 6
Machine learning for predicting catalytic ammonia decomposition: An approach for catalyst design and performance prediction
Wenjuan Guo, Alireza Shafizadeh, Hossein Shahbeik, et al.
Journal of Energy Storage (2024) Vol. 89, pp. 111688-111688
Closed Access | Times Cited: 5
REVOLUTIONIZING DRUG DELIVERY INNOVATION: LEVERAGING AI-DRIVEN CHATBOTS FOR ENHANCED EFFICIENCY
Ruba Malkawi
International Journal of Applied Pharmaceutics (2024), pp. 52-56
Open Access | Times Cited: 4
Credit Card Default Prediction: An Empirical Analysis on Predictive Performance Using Statistical and Machine Learning Methods
Rakshith Bhandary, Bidyut Kumar Ghosh
Journal of risk and financial management (2025) Vol. 18, Iss. 1, pp. 23-23
Open Access
Physiological, Psychological, and Functional Health Determinants of Depressive Symptoms Among the Elderly in India: Evaluation of Classification Performance of XGBoost Models
Aswathy PV, Abhishek Verma, Balasankar JM, et al.
Indian Journal of Psychological Medicine (2025)
Open Access
Gene selection and liver classification using machine learning
Sachinkumar Anandpal Goswami, Kashyap C. Patel, Saurabh Dave
Elsevier eBooks (2025), pp. 135-143
Closed Access
The Scoring Model to Predict ICU Stay and Mortality After Emergency Admissions in Atrial Fibrillation: A Retrospective Study of 30 366 Patients
Tao Hong, Jian Huang, Jiewen Deng, et al.
Clinical Cardiology (2025) Vol. 48, Iss. 2
Open Access
Classifying Schizophrenia Using Functional MRI and Investigating Underlying Functional Phenomena
Yang Liu, Bingbing Wan, Zixuan Liu, et al.
Brain Research Bulletin (2025) Vol. 223, pp. 111279-111279
Open Access
Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Palash Sarker, Amel Ksibi, Mona Jamjoom, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Machine Learning for Monitoring Per- and Polyfluoroalkyl Substance (PFAS) in California's Wastewater Treatment Plants: An Assessment of Occurrence and Fate
Jialin Dong, Seungjun Kim, Sean D. Young, et al.
Journal of Hazardous Materials (2025), pp. 138090-138090
Open Access
Modeling the compressive strength behavior of concrete reinforced with basalt fiber
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Interpretable Machine Learning Model to Predict Hospitalizations
Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, et al.
Clinical eHealth (2025)
Open Access
How useful are data-driven methods for building-level greywater treatment from a process engineering perspective?
Siyuan Wang, Mariane Yvonne Schneider, Eveline I.P. Volcke, et al.
Water Research X (2025), pp. 100343-100343
Open Access
Experimental validation of machine learning for contamination classification of polluted high voltage insulators using leakage current
Umer Amir Khan, Mansoor Asif, Muhammad Hamza Zafar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Influence of Functional Modification on Wear Resistance of Graphene/Nbr Composites: Combined Molecular Dynamics and Interpretable Machine Learning
Quan Yuan, Yunlong Li, Jianzheng Cui, et al.
(2025)
Closed Access
A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
Ghada AL Mukhaini, Mohammed Anbar, Selvakumar Manickam, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 36, Iss. 1, pp. 101866-101866
Open Access | Times Cited: 9
Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM
Xueting Bai, Chunwen Pu, Zhen Wang, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Letter to the Editor: Comments on "Dialogue between algorithms and soil: Machine learning unravels the mystery of phthalates pollution in soil" by Pan et al., (2025)
Souichi Oka, Yoshiyasu Takefuji
Journal of Hazardous Materials (2025) Vol. 493, pp. 138366-138366
Closed Access
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT)
Chifumi Iseki, Tatsuya Hayasaka, Hyota Yanagawa, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6217-6217
Open Access | Times Cited: 8
Precision medicine for traumatic cervical spinal cord injuries: accessible and interpretable machine learning models to predict individualized in-hospital outcomes
Mert Karabacak, Konstantinos Margetis
The Spine Journal (2023) Vol. 23, Iss. 12, pp. 1750-1763
Closed Access | Times Cited: 7
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