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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:

“I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis
Adenrele Oduntan, Oladapo Oyebode, Amelia Hernandez Beltran, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3397-3408
Closed Access | Times Cited: 12

Showing 12 citing articles:

Charting Careers in Data Science and Artificial Intelligence: Community Perspectives on Degree Essentiality
Kevynn Delgado, Ryan Ebardo
Lecture notes in computer science (2025), pp. 127-138
Closed Access
Analysis of Heart Disease Prediction using Various Machine Learning Techniques: A Review Study
Kapil Joshi, G Abhishek Reddy, Sachin Kumar, et al.
(2023)
Closed Access | Times Cited: 9
Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms
Laura Eltahawy, Todd Essig, Nils Myszkowski, et al.
Computers in Human Behavior Artificial Humans (2023) Vol. 2, Iss. 1, pp. 100035-100035
Open Access | Times Cited: 6
Using Pupil Diameter for Psychological Resilience Assessment in Medical Students Based on SVM and SHAP Model
Fayang Xiang, Li Zhang, Yidan Ye, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4260-4268
Closed Access | Times Cited: 1
Assessing public satisfaction of public service application using supervised machine learning
Ilham Zharif Mustaqim, Hasna Melani Puspasari, Avita Tri Utami, et al.
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1608-1608
Open Access
Emotion Detection from Real-Life Situations Based on Journal Entries Using Machine Learning and Deep Learning Techniques
Oladapo Oyebode, Ruth Ogubuike, Darlington Daniel, et al.
Lecture notes in networks and systems (2024), pp. 477-502
Closed Access
Advancements in Depression Severity Prediction: A Multi-Modal Machine Learning Approach Integrating MCQs and Audio Data
Shilpa Pimpalkar, Anish Avinash Chavan, Sadhana Vijay Gawali, et al.
(2024), pp. 1-8
Closed Access
Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study
C. Ranganathan, Suhas Kotaki, Abhilash Hosaagrahaara Nagaraja
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access
Alert System to Prevent Drowning using IoT- A Survey
M. Amshavalli, A. Nandhini, S. Sathiya, et al.
Journal of ISMAC (2024) Vol. 6, Iss. 1, pp. 13-23
Closed Access
Depression diagnosis using Artificial Intelligence: a systematic review
Martín Di Felice, Ilan Trupkin, Ariel Deroche, et al.
F1000Research (2024) Vol. 13, pp. 1549-1549
Open Access
A Study of Machine Learning Models for Predicting Mental Health Through Text Analysis
Deepali Kadam, K. T. V. Reddy
(2023), pp. 1-5
Closed Access
The opinion based analysis for stressed adults using sentimental mining model
Shiva Kumar Sriramulugari, Venkata Ashok K Gorantla, Amit Hasmukhbhai Mewada, et al.
(2023), pp. 1-6
Closed Access
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