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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:

Depression detection on online social network with multivariate time series feature of user depressive symptoms
Yicheng Cai, Haizhou Wang, Huali Ye, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119538-119538
Closed Access | Times Cited: 24

Showing 24 citing articles:

DECEN: A deep learning model enhanced by depressive emotions for depression detection from social media content
Zhijun Yan, Fei Peng, Dongsong Zhang
Decision Support Systems (2025), pp. 114421-114421
Closed Access
Different but equal? The impact of personal incentives and platform incentives on user-generated content in online mental health communities
Haochen Song, Zhizhen Yao
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104132-104132
Closed Access
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: 15
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
Bayode Ogunleye, Hemlata Sharma, Olamilekan Shobayo
(2024)
Open Access | Times Cited: 4
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: 4
A Survey of Current Progress in Depression Detection Using Deep Learning and Machine Learning
Meena Kumari, Gurpreet Singh, Sagar Dhanraj Pande
Deleted Journal (2025)
Closed Access
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization
Fuze Tian, Lixian Zhu, Qiuxia Shi, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 6, pp. 1305-1318
Closed Access | Times Cited: 10
Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo
Zhenwen Zhang, Zepeng Li, Jianghong Zhu, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111650-111650
Closed Access | Times Cited: 2
User Dynamics and Thematic Exploration in r/Depression during COVID-19: Insights from Overlapping r/SuicideWatch Users (Preprint)
Jianfeng Zhu, Ruoming Jin, Deric R. Kenne, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e53968-e53968
Open Access | Times Cited: 2
Empirical insights into the interaction effects of groups at high risk of depression on online social platforms with NLP-based sentiment analysis
Yi Xiao, Yutong Yang, Haozhe Xu, et al.
Data and Information Management (2024), pp. 100080-100080
Open Access | Times Cited: 2
Detection and Prediction of Future Mental Disorder From Social Media Data Using Machine Learning, Ensemble Learning, and Large Language Models
Mohammed Abdullah, Nermin K. Negied
IEEE Access (2024) Vol. 12, pp. 120553-120569
Open Access | Times Cited: 1
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: 1
Automatic depression prediction via cross-modal attention-based multi-modal fusion in social networks
Lidong Wang, Yin Zhang, Bin Zhou, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109413-109413
Closed 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
Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Niño
Jonathan Derot, Nozomi Sugiura, Sang-Yeob Kim, et al.
Ecological Informatics (2023) Vol. 79, pp. 102437-102437
Open Access | Times Cited: 2
Enhancing depression detection: A multimodal approach with text extension and content fusion
Jinyan Chen, Shuxian Liu, Meijia Xu, et al.
Expert Systems (2024) Vol. 41, Iss. 10
Closed Access
From Detection to Empowerment: Integrating a context-aware coping strategies recommendations tool into an automatic depression detection system in social networks
Nawal Sad-Houari, Djamila Benhaddouche, Marwa Alioua, et al.
International Journal of Information Technology (2024)
Closed Access
Detecting Depression Through Temporal Topic Modeling of Tweets: Insights from a 180-Day Study (Preprint)
C. Ranganathan, Suhas Kotaki, Abhilash Hosaagrahara Nagaraja
(2024)
Closed Access
Early identification of high attention content for online mental health community users based on multi-level fusion model
Song Wang, Ying Luo, Xinmin Liu
Data Technologies and Applications (2024) Vol. 58, Iss. 5, pp. 838-857
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
A Literature Review on the Detection of Mental Illness
Shabana Shaik, V C Bharathi
(2024), pp. 1413-1417
Closed Access
Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study
C. Ranganathan, Suhas Kotaki, Abhilash Hosaagrahaara Nagaraja
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access
Detecting Depression Level Scale from Social Media Text and Images Using Machine Learning Algorithms
Yash Salunkhe, Shruti Yeole, Siddhesh Suryawanshi, et al.
(2023), pp. 912-918
Closed Access | Times Cited: 1
TKSP: Long-Term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge
Zijian Zhou, Shangui Hu, Kai Yang, et al.
Lecture notes in computer science (2023), pp. 406-421
Closed Access
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