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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:

Predicting HIV Status among Men Who Have Sex with Men in Bulawayo & Harare, Zimbabwe Using Bio-Behavioural Data, Recurrent Neural Networks, and Machine Learning Techniques
Innocent Chingombe, Tafadzwa Dzinamarira, Diego F. Cuadros, et al.
Tropical Medicine and Infectious Disease (2022) Vol. 7, Iss. 9, pp. 231-231
Open Access | Times Cited: 19

Showing 19 citing articles:

Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications
Elliot Mbunge, John Batani
Telematics and Informatics Reports (2023) Vol. 11, pp. 100097-100097
Open Access | Times Cited: 24
Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
A review of deep learning models to detect malware in Android applications
Elliot Mbunge, Benhildah Muchemwa, John Batani, et al.
Cyber Security and Applications (2023) Vol. 1, pp. 100014-100014
Open Access | Times Cited: 17
The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis
Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, et al.
JMIR Research Protocols (2025) Vol. 14, pp. e59916-e59916
Open Access
Diagnosis and Management of Sexually Transmitted Infections Using Artificial Intelligence Applications Among Key and General Populations in Sub-Saharan Africa: A Systematic Review and Meta-Analysis
Claris Siyamayambo, Edith Phalane, Nancy Phaswana‐Mafuya
Algorithms (2025) Vol. 18, Iss. 3, pp. 151-151
Open Access
Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China
Kangjie Li, Guiqian Shi, Cong Zhang, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Machine Learning Techniques for Predicting Malaria: Unpacking Emerging Challenges and Opportunities for Tackling Malaria in Sub-saharan Africa
Elliot Mbunge, Richard C. Milham, Maureen Nokuthula Sibiya, et al.
Lecture notes in networks and systems (2023), pp. 327-344
Closed Access | Times Cited: 11
Predicting HIV infection in the decade (2005–2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach
Rutendo Beauty Birri Makota, Eustasius Musenge
PLOS Digital Health (2023) Vol. 2, Iss. 6, pp. e0000260-e0000260
Open Access | Times Cited: 9
Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review
Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 362-362
Open Access | Times Cited: 3
Application of machine learning techniques for predicting child mortality and identifying associated risk factors
Elliot Mbunge, Stephen Gbenga Fashoto, Benhildah Muchemwa, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 5
Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches
Elliot Mbunge, Maureen Nokuthula Sibiya, Sam Takavarasha, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 5
A Framework for the Adoption of Emerging Technologies to Reduce Under-Five Mortality in Zimbabwe
John Batani, Manoj Maharaj
(2023), pp. 1-6
Closed Access | Times Cited: 4
Small Area Estimation of HIV/AIDS Prevalence in South Africa using a Neural Method
Emmanuel Fundisi, Gina Weir-Smith, Tholang Mokhele, et al.
The Open Public Health Journal (2024) Vol. 17, Iss. 1
Open Access
The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis (Preprint)
Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, et al.
(2024)
Closed Access
Interpretable Drug Resistance Prediction for Patients on Anti-Retroviral Therapies (ART)
Muhire Jacob, Ssenoga Badru, Joyce Nakatumba‐Nabende, et al.
Communications in computer and information science (2024), pp. 43-53
Closed Access
Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models
Owen Mugurungi, Elliot Mbunge, Rutendo Birri-Makota, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 7, pp. e0000541-e0000541
Open Access
Conducting research among key populations in settings with discriminatory laws, policies, and practice: The case of men who have sex with men in Zimbabwe
Tafadzwa Dzinamarira, Munyaradzi Mapingure, Grant Murewanhema, et al.
Public Health in Practice (2022) Vol. 4, pp. 100337-100337
Open Access | Times Cited: 2
Application of machine learning for risky sexual behavior interventions among factory workers in China
Fang Zhang, Shiben Zhu, Siyu Chen, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access
Editorial for the Special Issue−‘HIV Testing, Prevention, and Care Cascade’
Chen Zhang, Yu Liu
Tropical Medicine and Infectious Disease (2022) Vol. 7, Iss. 11, pp. 387-387
Open Access
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