Open Access Helper

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:

Accuracy of Supervised Machine Learning in Predicting Depression, Anxiety and Stress Using Web-based Big Data: Preserving the Humanistic Intellect
Edre Mohammad Aidid, Ramli Musa
Malaysian Journal of Medicine and Health Sciences (2022) Vol. 18, Iss. s19, pp. 87-92
Open Access | Times Cited: 5

Showing 5 citing articles:

Text‐Based Prediction and Classification Model of Stress, Anxiety and Depression Among Indians
C KKishor Kumar Reddy, Tungana Bhavya, P. R. Anisha, et al.
(2024), pp. 131-147
Open Access | Times Cited: 1
SAD: Self-assessment of depression for Bangladeshi university students using machine learning and NLP
Md Shawmoon Azad, Shakirul Islam Leeon, Riasat Khan, et al.
Array (2024) Vol. 25, pp. 100372-100372
Open Access
BiGRU-CNN-AT: classifiying emotion on social media
Rona Nisa Sofia Amriza, Khairun Nisa Meiah Ngafidin
Data Technologies and Applications (2024)
Closed Access
Depression Level Classification on Real-Time Data using Machine Learning and Data Mining Techniques
Arpita Das, Tamzid Hasan Nahid, Dola Das, et al.
(2023), pp. 1-6
Closed Access
Prediction of Depression and Anxiety on University Students in Bangladesh Using Machine Learning
Afia Rahman, Anjuman Ara Ananna, Shekh Fahad, et al.
(2023)
Closed Access
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