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:

Development and performance analysis of machine learning methods for predicting depression among menopausal women
Md. Mamun Ali, Hussein Ali A. Algashamy, Enas Alzidi, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100202-100202
Open Access | Times Cited: 7

Showing 7 citing articles:

Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks
Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Fatores associados à depressão maior em octogenários e nonagenários
Lucí­ola Silva Sandim, Eduarda Rezende Freitas, Clayton Franco Moraes, et al.
Caderno Pedagógico (2024) Vol. 21, Iss. 1, pp. 2803-2817
Open Access

Identification of depression predictors from standard health surveys using machine learning
Ali Akbar Jamali, Corinne Berger, Raymond J. Spiteri
Current Research in Behavioral Sciences (2024) Vol. 7, pp. 100157-100157
Open Access

ML Model For Detection of Depression in Menopause Women
Kasey Ann Britto, D. T Varnikaa, Ranganathan Sathishkumar, et al.
(2024), pp. 1-6
Closed Access

Developing Explainable AI Models to Identify Perimenopause Symptoms
Prachi Mall, Deepika Raina
Advances in medical technologies and clinical practice book series (2024), pp. 201-214
Closed Access

Changeover From Perimenopause to Menopause and Tailored Healthcare
Bhupinder Singh, Christian Kaunert
Advances in medical technologies and clinical practice book series (2024), pp. 124-147
Closed Access

Predicting Depression and Mental Illness Using Machine Learning Algorithms
A Arya, Ritika Kumari, Poonam Bansal
(2023), pp. 399-404
Closed Access

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