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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 82 citing articles:

Mental Health Analysis in Social Media Posts: A Survey
Muskan Garg
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 3, pp. 1819-1842
Open Access | Times Cited: 70
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 348-348
Open Access | Times Cited: 23
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, et al.
(2020)
Open Access | Times Cited: 82
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
MHA: a multimodal hierarchical attention model for depression detection in social media
Zepeng Li, Zhengyi An, Wenchuan Cheng, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 26
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
Lei Cao, Huijun Zhang, Ling Feng
IEEE Transactions on Multimedia (2020) Vol. 24, pp. 87-102
Open Access | Times Cited: 66
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Lucie Flek, et al.
(2021), pp. 2415-2428
Open Access | Times Cited: 45
Towards Ordinal Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, et al.
(2021), pp. 22-30
Closed Access | Times Cited: 42
A Unified Taxonomy of Harmful Content
Michele Banko, Brendon MacKeen, Laurie Ray
(2020)
Open Access | Times Cited: 49
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Hao Sun, Zhenru Lin, Chujie Zheng, et al.
(2021), pp. 1489-1503
Open Access | Times Cited: 36
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning
Ramit Sawhney, Harshit Joshi, Rajiv Ratn Shah, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 2176-2190
Open Access | Times Cited: 35
Fine-grained depression analysis based on Chinese micro-blog reviews
Tingting Yang, Fei Li, Donghong Ji, et al.
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102681-102681
Closed Access | Times Cited: 35
A self-attention TCN-based model for suicidal ideation detection from social media posts
Seyedeh Leili Mirtaheri, Sergio Greco, Reza Shahbazian
Expert Systems with Applications (2024) Vol. 255, pp. 124855-124855
Open Access | Times Cited: 6
Learning Models for Suicide Prediction from Social Media Posts
Ning Wang, Fan Luo, Yuvraj Shivtare, et al.
(2021)
Open Access | Times Cited: 30
Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
Zihan Wei, Mingli Zhang, Yaxin Ming
Current Issues in Tourism (2022) Vol. 26, Iss. 1, pp. 105-121
Closed Access | Times Cited: 22
Identifying Moments of Change from Longitudinal User Text
Adam Tsakalidis, Federico Nanni, Anthony Hills, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 4647-4660
Open Access | Times Cited: 21
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
Usman Naseem, Byoung Chan Lee, Matloob Khushi, et al.
(2022)
Open Access | Times Cited: 19
Advanced deep learning and large language models for suicide ideation detection on social media
Mohammed Qorich, Rajae El Ouazzani
Progress in Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 135-147
Closed Access | Times Cited: 4
Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media Data
Zepeng Li, Jiawei Zhou, Zhengyi An, et al.
Entropy (2022) Vol. 24, Iss. 4, pp. 442-442
Open Access | Times Cited: 19
Towards Suicide Ideation Detection Through Online Conversational Context
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 1716-1727
Closed Access | Times Cited: 17
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media
Usman Naseem, Matloob Khushi, Jinman Kim, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 4, pp. 4663-4672
Closed Access | Times Cited: 17
Deep learning model with multi-feature fusion and label association for suicide detection
Zepeng Li, Wenchuan Cheng, Jiawei Zhou, et al.
Multimedia Systems (2023) Vol. 29, Iss. 4, pp. 2193-2203
Closed Access | Times Cited: 10
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
Shivam Sharma, Atharva Kulkarni, Tharun Suresh, et al.
(2023)
Open Access | Times Cited: 10
Enhancing suicidal ideation detection through advanced feature selection and stacked deep learning models
Shiv Shankar Prasad Shukla, Maheshwari Prasad Singh
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Mining Suicidal Ideation in Chinese Social Media: A Dual-Channel Deep Learning Model with Information Gain Optimization
Xiuyang Meng, Xiaohui Cui, Yue Zhang, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 116-116
Open Access
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