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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.

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Showing 1-25 of 76 citing articles:

Natural language processing applied to mental illness detection: a narrative review
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 272
Deep learning techniques for suicide and depression detection from online social media: A scoping review
Anshu Malhotra, Rajni Jindal
Applied Soft Computing (2022) Vol. 130, pp. 109713-109713
Closed Access | Times Cited: 48
Machine Learning Driven Mental Stress Detection on Reddit Posts Using Natural Language Processing
Shaunak Inamdar, Rishikesh Chapekar, Shilpa Gite, et al.
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 2, pp. 80-91
Open Access | Times Cited: 29
Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks
Alireza Pourkeyvan, Ramin Safa, Ali Sorourkhah
IEEE Access (2024) Vol. 12, pp. 28025-28035
Open Access | Times Cited: 15
Suicidal ideation prediction based on social media posts using a GAN-infused deep learning framework with genetic optimization and word embedding fusion
Rohini Kancharapu, Sri Nagesh Ayyagari
International Journal of Information Technology (2024) Vol. 16, Iss. 4, pp. 2577-2593
Closed Access | Times Cited: 9
Detection of Mental Health from Reddit via Deep Contextualized Representations
Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick, et al.
(2020)
Open Access | Times Cited: 63
PHQ-aware depressive symptoms identification with similarity contrastive learning on social media
Tianlin Zhang, Kailai Yang, Hassan Alhuzali, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103417-103417
Open Access | Times Cited: 17
Toward explainable AI (XAI) for mental health detection based on language behavior
Elma Kerz, Sourabh Zanwar, Yu Qiao, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 17
PANDORA Talks: Personality and Demographics on Reddit
Matej Gjurković, Mladen Karan, Iva Vukojević, et al.
(2021)
Open Access | Times Cited: 37
Natural Language Processing Methods and Bipolar Disorder: Scoping Review
Daisy Harvey, Fiona Lobban, Paul Rayson, et al.
JMIR Mental Health (2022) Vol. 9, Iss. 4, pp. e35928-e35928
Open Access | Times Cited: 28
DAC Stacking: A Deep Learning Ensemble to Classify Anxiety, Depression, and Their Comorbidity From Reddit Texts
Vanessa Borba de Souza, Jéferson Campos Nobre, Karin Becker
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3303-3311
Closed Access | Times Cited: 22
The role of artificial intelligence and predictive analytics in social audio and broader behavioral research
Renee Garett, Sean D. Young
Decision Analytics Journal (2023) Vol. 6, pp. 100187-100187
Open Access | Times Cited: 13
A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media
Ashutosh Anshul, G. Pranav, Mohammad Zia Ur Rehman, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2872-2888
Closed Access | Times Cited: 13
What users’ musical preference on Twitter reveals about psychological disorders
Soroush Zamani Alavijeh, Fattane Zarrinkalam, Zeinab Noorian, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103269-103269
Closed Access | Times Cited: 12
PANDORA Talks: Personality and Demographics on Reddit
Matej Gjurković, Mladen Karan, Iva Vukojević, et al.
(2020)
Open Access | Times Cited: 31
From Disease Detection to Health Campaigns: The Role of Social Media Analytics in Public Health
Wael M. S. Yafooz, Yousef Ali Al-Gumaei, Abdullah Alsaeedi, et al.
Studies in computational intelligence (2025), pp. 105-120
Closed Access
Promoting mental health in the age of new digital tools: balancing challenges and opportunities of social media, chatbots, and wearables
Julien Coelho, Florian Pécune, Jean‐Arthur Micoulaud‐Franchi, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Understanding the Behaviors and Detecting the Mental Health Symptoms Among Students Using Machine Learning Algorithms
Sangita Pokhrel, Swathi Ganesan, Soonleh Ling, et al.
Lecture notes in electrical engineering (2025), pp. 13-30
Closed Access
Classification of Mental Illnesses from Reddit Posts Using Sentence-BERT Embeddings and Neural Networks
Faheem Ahmad Wagay, Jahiruddin
Procedia Computer Science (2025) Vol. 258, pp. 1669-1676
Open Access
A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo
Yiding Wang, Zhenyi Wang, Chenghao Li, et al.
(2020)
Closed Access | Times Cited: 24
Early Depression Detection Using Textual Cues from Social Data: A Research Agenda
Sumit Dalal, Sarika Jain, Mayank Dave
Lecture notes in electrical engineering (2023), pp. 393-406
Closed Access | Times Cited: 7
A systematic literature review and analysis of deep learning algorithms in mental disorders
Goli Arji, Leila Erfannia, Samira alirezaei, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101284-101284
Open Access | Times Cited: 7
Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter
Anees Baqir, Mubashir Ali, Shaista Jaffar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media
Zhiling Zhang, Siyuan Chen, Mengyue Wu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 11
A Systematic Review and Future Perspective of Mental Illness Detection Using Artificial Intelligence on Multimodal Digital Media
U Ananthanagu, Pooja Agarwal
Lecture notes in networks and systems (2023), pp. 35-46
Closed Access | Times Cited: 6
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