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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 the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach
Wicher A. Bokma, Paul Zhutovsky, Erik J. Giltay, et al.
Psychological Medicine (2020) Vol. 52, Iss. 1, pp. 57-67
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Cohort profile of the longitudinal Netherlands Study of Depression and Anxiety (NESDA) on etiology, course and consequences of depressive and anxiety disorders
Brenda W.J.H. Penninx, Merijn Eikelenboom, Erik J. Giltay, et al.
Journal of Affective Disorders (2021) Vol. 287, pp. 69-77
Open Access | Times Cited: 63
Detection and classification of anxiety in university students through the application of machine learning
Shaurya Bhatnagar, Jyoti Agarwal, Ojasvi Rajeev Sharma
Procedia Computer Science (2023) Vol. 218, pp. 1542-1550
Open Access | Times Cited: 29
The definition of treatment resistance in anxiety disorders: a Delphi method‐based consensus guideline
Katharina Domschke, Patrik D. Seuling, Miriam A. Schiele, et al.
World Psychiatry (2024) Vol. 23, Iss. 1, pp. 113-123
Open Access | Times Cited: 14
The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review
Lucian Hadrian Milasan, Daniel Scott
International Journal of Mental Health Nursing (2025) Vol. 34, Iss. 1
Open Access | Times Cited: 1
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
Faijan Akhtar, Md Belal Bin Heyat, Arshiya Sultana, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Closed Access | Times Cited: 7
Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression
Wessel A. van Eeden, Chuan Luo, Albert M. van Hemert, et al.
Psychiatry Research (2021) Vol. 299, pp. 113823-113823
Open Access | Times Cited: 39
A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students’ Cardiac Signal and MSY
Rishi Pal, Deepak Adhikari, Md Belal Bin Heyat, et al.
Bioengineering (2022) Vol. 9, Iss. 12, pp. 793-793
Open Access | Times Cited: 19
Machine learning-based prediction of illness course in major depression: The relevance of risk factors
Lea Teutenberg, Frederike Stein, Florian Thomas‐Odenthal, et al.
Journal of Affective Disorders (2025)
Closed Access
Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder
Candice Basterfield, Michelle G. Newman
Journal of Anxiety Disorders (2025), pp. 102978-102978
Closed Access
Machine Learning in E-health: A Comprehensive Survey of Anxiety
Bibi Nushrina Teelhawod, Faijan Akhtar, Md Belal Bin Heyat, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2021), pp. 167-172
Closed Access | Times Cited: 23
Machine learning to advance the prediction, prevention and treatment of eating disorders
Shirley B. Wang
European Eating Disorders Review (2021) Vol. 29, Iss. 5, pp. 683-691
Open Access | Times Cited: 21
Common and specific determinants of 9-year depression and anxiety course-trajectories: A machine-learning investigation in the Netherlands Study of Depression and Anxiety (NESDA).
Klaas J. Wardenaar, Harriëtte Riese, Erik J. Giltay, et al.
Journal of Affective Disorders (2021) Vol. 293, pp. 295-304
Open Access | Times Cited: 16
Improving outcome of anxiety and obsessive-compulsive disorders
Karin C.P. Remmerswaal
(2023)
Open Access | Times Cited: 4
A novel approach to anxiety level prediction using small sets of judgment and survey variables
Sumra Bari, Byoung-Woo Kim, Nicole L. Vike, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Risk factors of chronic course of anxiety and depressive disorders: a 3-year longitudinal study in the general population
Karin C.P. Remmerswaal, Margreet ten Have, Ron de Graaf, et al.
Social Psychiatry and Psychiatric Epidemiology (2023) Vol. 59, Iss. 9, pp. 1607-1615
Closed Access | Times Cited: 3
Understanding the Potentiality of Artificial Intelligence in Psychological Disorders Detection and Diagnostics
Krishanu Aich, Sukrit Kashyap, Konika Tyagi, et al.
OBM Neurobiology (2023) Vol. 07, Iss. 04, pp. 1-22
Open Access | Times Cited: 3
Review on Psychology Research Based on Artificial Intelligence Methodologies
Rushit Dave, Kyle Sargeant, Monika Vanamala, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 05, pp. 113-130
Open Access | Times Cited: 5
Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms
Zewen Huang, Lejun Zhang, Junyu Wang, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e10803-e10803
Open Access | Times Cited: 4
Machine Learning Techniques for Anxiety Disorder
Elif ALTINTAŞ, Zeyneb UYLAŞ AKSU, Zeynep Demir
European Journal of Science and Technology (2021)
Open Access | Times Cited: 4
The epigenetic of the panic disorder
Harem Othman Smail
Journal of Experimental and Molecular Biology (2023) Vol. 24, Iss. 1, pp. 59-72
Open Access | Times Cited: 1
Effectiveness of Neurofeedback on Psychological Stress, Salivary Cortisol and α-amylase Level in Students: A Randomized and Parallel-Group Clinical Trial
Shima Shahyad, Ebrahim Rahmani, Meysam Nikdanesh, et al.
Iranian Journal of Psychiatry and Behavioral Sciences (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Development of decision rules for an adaptive aftercare intervention based on individual symptom courses for agoraphobia patients
Maximilian Wilhelm, Markus Moessner, Silke Jost, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Can Artificial Intelligence Be Used As a Stepping-Stone Towards Face-To-Face Therapy?
Zachary Salcido
(2024)
Open Access
Exploration and verification a 13-gene diagnostic framework for ulcerative colitis across multiple platforms via machine learning algorithms
Jing Wang, Lin Li, Pingbo Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Longitudinal trends of body composition in Anorexia Nervosa: cardiac functioning impacts restoration of fat-free mass at three-months
Livio Tarchi, Emanuele Cassioli, Eleonora Rossi, et al.
Nutrition Metabolism and Cardiovascular Diseases (2024)
Open Access
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