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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:

Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review
Abayomi Arowosegbe, Tope Oyelade
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 2, pp. 1514-1514
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

The now and future of ChatGPT and GPT in psychiatry
Szu‐Wei Cheng, Chung‐Wen Chang, Wan‐Jung Chang, et al.
Psychiatry and Clinical Neurosciences (2023) Vol. 77, Iss. 11, pp. 592-596
Open Access | Times Cited: 106
Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
(2023)
Open Access | Times Cited: 23
Trust, Ethics, and User-Centric Design in AI-Integrated Genomics
Faisal Al-Akayleh, Ahmed S.A. Ali Agha
(2024), pp. 1-6
Closed Access | Times Cited: 6
Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning
Earvin S. Tio, Melissa Misztal, Daniel Felsky
Frontiers in Psychiatry (2024) Vol. 14
Open Access | Times Cited: 5
Data science in healthcare: techniques, challenges and opportunities
Pushpa Devi, Kishori Lal Bansal
Health and Technology (2024) Vol. 14, Iss. 4, pp. 623-634
Closed Access | Times Cited: 5
The significance of growing up in a hoarded home: using natural language processing to examine the experiences of adult children of hoarding parents on Reddit
Oskar Kocol, Isaac Sabel, Kiara R. Timpano, et al.
Journal of Obsessive-Compulsive and Related Disorders (2025), pp. 100938-100938
Open Access
Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic
Abigail Beech, Haoxue Fan, Jocelyn Shu, et al.
Journal of Affective Disorders (2025)
Closed Access
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review
Sheriff Tolulope Ibrahim, Madeline Li, Jamin Patel, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109859-109859
Open Access
Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population
Siting Li, Maxwell Levis, Monica Dimambro, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109939-109939
Open Access
Llama 2: Early Adopters' Utilization of Meta's New Open-Source Pretrained Model
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
(2023)
Open Access | Times Cited: 10
Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts
Brian W. Bauer, Raquel Norel, Alex Leow, et al.
JMIR Mental Health (2024) Vol. 11, pp. e57234-e57234
Open Access | Times Cited: 3
War, emotions, mental health, and artificial intelligence
Krešimir Ćosić, Vanja Kopilaš, Tanja Jovanović
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 3
Building a Natural Language Processing Artificial Intelligence to Predict Suicide-Related Events Based on Patient Portal Message Data
Archis R. Bhandarkar, Namrata Arya, Keldon K. Lin, et al.
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 4, pp. 510-518
Open Access | Times Cited: 7
Crisis prediction among tele-mental health patients: A large language model and expert clinician comparison (Preprint)
Christine Lee, Matthew Mohebbi, Erin O’Callaghan, et al.
JMIR Mental Health (2024) Vol. 11, pp. e58129-e58129
Open Access | Times Cited: 2
Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 2
Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study 1
Izabela Kaźmierczak, Adrianna Jakubowska, Agnieszka Pietraszkiewicz, et al.
Cognition & Emotion (2024), pp. 1-10
Closed Access | Times Cited: 1
Automatically extracting social determinants of health for suicide: a narrative literature review
Annika Marie Schoene, Suzanne Garverich, Iman Ibrahim, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
A Natural Language Processing Pipeline based on the Columbia- Suicide Severity Rating Scale
Lauren Lepow, Prakash Adekkanattu, Marika Cusick, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Suicide Risk Assessment and Prevention Tools in the UK: Current Landscape and Future Directions
Abayomi Arowosegbe, Tope Oyelade
Psychiatry International (2023) Vol. 4, Iss. 4, pp. 354-369
Open Access | Times Cited: 3
Iingxoxobunzululwazi zaseAfrika Iingxoxobunzululwazi zaseAfrika Ngokufa Kolwimi: izizathu neendlela zokukhawulelana nokufa kolwimi African scientific discussions on language death: reasons for, and methods of, dealing with language death
Mlamli Diko
Per Linguam (2023) Vol. 39, Iss. 1
Open Access | Times Cited: 2
Teen-adult interactions during the co-design of data literacy activities for the public library: insights from a natural language processing analysis of linguistic patterns
Leanne Bowler, Irene Lopatovska, Mark Rosin
Information and Learning Sciences (2023) Vol. 125, Iss. 3/4, pp. 252-269
Closed Access | Times Cited: 2
Clinical Text Classification in Healthcare: Leveraging BERT for NLP
Anjani Kumar, Upendra Singh Aswal, Suresh Kumar Muthuvel, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
Psychological and Mental Health Evaluation of English Language Students using Recurrent Neural Networks
Jun Guo
Mobile Networks and Applications (2024)
Closed Access
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed Access
Applications of Natural Language Processing to Predict Suicidal Tendencies from Social Media Textual Input
Ricardo Cruz, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
Lecture notes in networks and systems (2024), pp. 393-405
Closed Access
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