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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:

Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS
Manas Gaur, Vamsi Aribandi, Amanuel Alambo, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0250448-e0250448
Open Access | Times Cited: 27

Showing 1-25 of 27 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: 267
Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques
Eldar Yeskuatov, Sook-Ling Chua, Lee Kien Foo
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 10347-10347
Open Access | Times Cited: 23
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI
Manas Gaur, Kalpa Gunaratna, Shreyansh Bhatt, et al.
IEEE Internet Computing (2022) Vol. 26, Iss. 4, pp. 5-11
Open Access | Times Cited: 20
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1478-1478
Open Access | Times Cited: 14
MindWatch: A Smart Cloud-based AI solution for Suicide Ideation Detection leveraging Large Language Models
Runa Bhaumik, Vineet Srivastava, Arash Jalali, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
WellXplain: Wellness concept extraction and classification in Reddit posts for mental health analysis
Muskan Garg
Knowledge-Based Systems (2023) Vol. 284, pp. 111228-111228
Open Access | Times Cited: 9
Cognitive network neighborhoods quantify feelings expressed in suicide notes and Reddit mental health communities
Simmi Marina Joseph, Salvatore Citraro, Virginia Morini, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 610, pp. 128336-128336
Closed Access | Times Cited: 13
Data Agency Theory: A Precise Theory of Justice for AI Applications
Leah Ajmani, Logan Stapleton, Mo Houtti, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 17, pp. 631-641
Open Access | Times Cited: 2
A Risk-Averse Mechanism for Suicidality Assessment on Social Media
Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur
(2022)
Open Access | Times Cited: 10
Social Media and Chronic Pain: What Do Patients Discuss?
Lisa Goudman, Ann De Smedt, Maarten Moens
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 797-797
Open Access | Times Cited: 9
Cluster Ensemble Method and Convolution Neural Network Model for Predicting Mental Illness
M V Ananthapadmanabha, Dhanesh Kumar A C, S Sabariraju, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 1, pp. 392-392
Open Access | Times Cited: 5
Suicide risk level prediction and suicide trigger detection: a benchmark dataset
Jun Li, Xinhong Chen, Zehang Lin, et al.
HKIE Transactions (2022) Vol. 29, Iss. 4, pp. 268-282
Open Access | Times Cited: 8
Process Knowledge-Infused Learning for Clinician-Friendly Explanations
Kaushik Roy, Yuxin Zi, Manas Gaur, et al.
Proceedings of the AAAI Symposium Series (2023) Vol. 1, Iss. 1, pp. 154-160
Open Access | Times Cited: 4
Introduction to the PLOS ONE collection on ‘Understanding and preventing suicide: Towards novel and inclusive approaches’
Jo Robinson, Kairi Kõlves, Merike Sisask
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264984-e0264984
Open Access | Times Cited: 6
Semantic Similarity Models for Depression Severity Estimation
Anxo Pérez, Neha Warikoo, Kexin Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16104-16118
Open Access | Times Cited: 3
SocBERT: A Pretrained Model for Social Media Text
Yuting Guo, Abeed Sarker
(2023), pp. 45-52
Open Access | Times Cited: 2
Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions
Zhongzhi Xu, Christian S. Chan, Qingpeng Zhang, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing
Shaoxiong Ji
(2022)
Open Access | Times Cited: 3
Ensembled Machine Learning Methods and Feature Extraction Approaches for Suicide-Related Social Media
Merinda Lestandy, Abdurrahim Abdurrahim, Amrul Faruq, et al.
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) (2024) Vol. 13, Iss. 2, pp. 192-203
Open Access
Language labyrinths: Exploring linguistic markers in mental health assessments
Mohammad Ali, Urbah Viqar
Yemen Journal of Medicine (2024) Vol. 3, Iss. 2, pp. 75-80
Open Access
Detecting Suicidal Ideations in Online Forums with Textual and Psycholinguistic Features
Eldar Yeskuatov, Sook-Ling Chua, Lee Kien Foo
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9911-9911
Open Access
Use of Social Media Data Mining to Examine Needs, Concerns, and Experiences of People With Traumatic Brain Injury
Yalian Pei, Katy H. O’Brien
American Journal of Speech-Language Pathology (2023) Vol. 33, Iss. 2, pp. 831-847
Closed Access | Times Cited: 1
“Who can help me?”: Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
Manas Gaur, Kaushik Roy, Aditya Sharma, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2021), pp. 265-269
Open Access | Times Cited: 3
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.
Manas Gaur, Kaushik Roy, Aditya Sharma, et al.
(2021)
Closed Access | Times Cited: 2
Comparison of pretraining models and strategies for health-related social media text classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
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