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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:

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review
Danxia Liu, Xing Lin Feng, Farooq Ahmed, et al.
JMIR Mental Health (2021) Vol. 9, Iss. 3, pp. e27244-e27244
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Star architecture in online public discourse: exploring Reddit user-generated content on the Vessel, New York, through a text analytics approach
Ali Pourahmad Ghalejough, Sadegh Abbasi Avval, Farzin Haghparast, et al.
International Journal of Architectural Research Archnet-IJAR (2024)
Closed Access | Times Cited: 2
Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach
Yang Liu
The Journal of Supercomputing (2023) Vol. 80, Iss. 8, pp. 10327-10356
Closed Access | Times Cited: 5
Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches
Wei Pan, Xianbin Wang, Wenwei Zhou, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2688-2688
Open Access | Times Cited: 4
New chaos-integrated improved grey wolf optimization based models for automatic detection of depression in online social media and networks
Sinem Akyol
PeerJ Computer Science (2023) Vol. 9, pp. e1661-e1661
Open Access | Times Cited: 4
Psychological distress as a systemic economic risk in the USA
Nathaniel Z. Counts, David E. Bloom, Neal Halfon
Nature Mental Health (2023) Vol. 1, Iss. 12, pp. 950-955
Open Access | Times Cited: 4
What methods are used to examine representation of mental ill-health on social media? A systematic review
Lucy Tudehope, Neil Harris, Lieke Vorage, et al.
BMC Psychology (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Machine Learning for Depression Detection on Web and Social Media
Lin Gan, Yingqi Guo, Tao Yang
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-28
Open Access | Times Cited: 1
Trapezoidal fuzzy number methodology for prioritising the predictors of social media addiction
Mamta Pandey, Ratnesh Litoriya, Prateek Pandey, et al.
Enterprise Information Systems (2024) Vol. 18, Iss. 9
Closed Access | Times Cited: 1
Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews
Ruiyang Qin, Ryan Cook, Kai Yang, et al.
ACM Transactions on Management Information Systems (2024)
Open Access | Times Cited: 1
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
Bayode Ogunleye, Hemlata Sharma, Olamilekan Shobayo
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 112-112
Open Access | Times Cited: 1
Predicting depressive symptoms using GPS-based regional data: A study with the CORONA HEALTH app during the COVID-19 pandemic in Germany (Preprint)
Johanna-Sophie Edler, Michael Winter, Holger Steinmetz, et al.
Interactive Journal of Medical Research (2024) Vol. 13, pp. e53248-e53248
Open Access | Times Cited: 1
Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study
Fuxing Deng, Yaoyuan Cao, Hui Wang, et al.
Journal of Critical Care (2024) Vol. 85, pp. 154923-154923
Open Access | Times Cited: 1
Feature Extraction Methods for Depression Detection Through Social Media Text
Cangnai Fang, Gracia Dianatobing, Talia Atara, et al.
(2022), pp. 117-121
Closed Access | Times Cited: 7
Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
Mengyu Zhong, Vera van Zoest, Ayesha-Mae Bilal, et al.
(2022)
Open Access | Times Cited: 6
Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments
Shelli R. Kesler, Ashley M. Henneghan, Whitney Thurman, et al.
JMIR Cancer (2022) Vol. 8, Iss. 2, pp. e34828-e34828
Open Access | Times Cited: 6
Hybrid Model for Analysis of Social Media Posts for Identification of Depression and Measuring Its Severity
Jay Nanavati, Unnati Patel
(2023), pp. 1-5
Closed Access | Times Cited: 2
Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach
Yunhao Yuan, Erin Kasson, Jordan Taylor, et al.
JMIR Formative Research (2024) Vol. 8, pp. e54433-e54433
Open Access
One shot intervention reduces online engagement with distorted content.
Eeshan Hasan, Gunnar Paul Epping, Lorenzo Lorenzo‐Luaces, et al.
(2024)
Open Access
Language patterns and sentiment expressions of post-covid patients in social media: A machine learning perspective
S. Roja, M. Durairaj
AIP conference proceedings (2024) Vol. 3097, pp. 020273-020273
Closed Access
Depression Prediction using Machine Learning Algorithms
Prof. Saba Anjum Patel, Kalakshi Jadhav, S. Ligade, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 526-532
Open Access
Workplace Health Status and Workers’ Job-Related Stress: An Assessment of Building Maintenance Requests Based on Lexical Diversity and Sentiment and Emotion Analysis
Marco D’Orazio, Gabriele Bernardini, Elisa Di Giuseppe
(2024)
Closed Access
Identifying Marijuana Use Behaviors among Homeless Youth: A Machine Learning Approach (Preprint)
Tianjie Deng, Andrew Urbaczewski, Young Jin Lee, et al.
JMIR AI (2024) Vol. 3, pp. e53488-e53488
Open Access
The (not-so) valid and reliable linguistic markers of depression and anxiety in symptomatic adults: A randomised cross over trial
Bridianne O’Dea, Philip J. Batterham, Taylor A. Braund, et al.
Research Square (Research Square) (2024)
Closed Access
From antidepressants and psychotherapy to oxytocin, vagus nerve stimulation, ketamine and psychedelics: how established and novel treatments can improve social functioning in major depression
Aleksandra Kupferberg, Gregor Hasler
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Using Social Media Data to Predict Mental Health Issues
S.K. Haldar, Omar El-Gayar, Sherif El-Gayar
Advances in medical technologies and clinical practice book series (2024), pp. 363-378
Closed Access

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