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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 from social network data using machine learning techniques
Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, et al.
Health Information Science and Systems (2018) Vol. 6, Iss. 1
Open Access | Times Cited: 361

Showing 1-25 of 361 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 for misinformation detection on online social networks: a survey and new perspectives
Md Rafiqul Islam, Shaowu Liu, Xianzhi Wang, et al.
Social Network Analysis and Mining (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 228
Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review
Nirmal Varghese Babu, E. Grace Mary Kanaga
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 182
Sentiment Analysis in Health and Well-Being: Systematic Review
Anastazia Žunić, Padraig Corcoran, ‪Irena Spasić
JMIR Medical Informatics (2019) Vol. 8, Iss. 1, pp. e16023-e16023
Open Access | Times Cited: 161
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Raymond Chiong, Gregorius Satia Budhi, Sandeep Dhakal, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104499-104499
Closed Access | Times Cited: 143
Deep Learning for Depression Detection from Textual Data
Amna Amanat, Muhammad Rizwan, Abdul Rehman Javed, et al.
Electronics (2022) Vol. 11, Iss. 5, pp. 676-676
Open Access | Times Cited: 143
An in-depth analysis of machine learning approaches to predict depression
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, et al.
Current Research in Behavioral Sciences (2021) Vol. 2, pp. 100044-100044
Open Access | Times Cited: 110
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Harnain Kour, Manoj Gupta
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 23649-23685
Open Access | Times Cited: 98
Data Integration Challenges for Machine Learning in Precision Medicine
Mireya Martínez-García, Enrique Hernández-Lemus
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 82
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
Rubina Sarki, Khandakar Ahmed, Hua Wang, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262052-e0262052
Open Access | Times Cited: 78
Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey
Khan Md. Hasib, Md Rafiqul Islam, Shadman Sakib, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1568-1586
Closed Access | Times Cited: 58
An attention-based CNN-BiLSTM model for depression detection on social media text
Joel Philip Thekkekara, Sira Yongchareon, Veronica Liesaputra
Expert Systems with Applications (2024) Vol. 249, pp. 123834-123834
Open Access | Times Cited: 22
Depression Sentiment Analysis using Machine Learning Techniques:A Review
Ashwani Kumar, Sunita Beniwal
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Automatic detection of depression symptoms in twitter using multimodal analysis
Ramin Safa, Peyman Bayat, Leila Moghtader
The Journal of Supercomputing (2021) Vol. 78, Iss. 4, pp. 4709-4744
Open Access | Times Cited: 82
Detecting autism spectrum disorder using machine learning techniques
Md. Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, et al.
Health Information Science and Systems (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 71
Detection of child depression using machine learning methods
Umme Marzia Haque, Enamul Kabir, Rasheda Khanam
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0261131-e0261131
Open Access | Times Cited: 67
Depression detection using emotional artificial intelligence and machine learning: A closer review
Manju Lata Joshi, Nehal Kanoongo
Materials Today Proceedings (2022) Vol. 58, pp. 217-226
Closed Access | Times Cited: 65
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: 60
Depression Detection Using Machine Learning Techniques on Twitter Data
Kuhaneswaran Govindasamy, Palanichamy Naveen
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2021), pp. 960-966
Closed Access | Times Cited: 59
Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning
Jiao Yin, MingJian Tang, Jinli Cao, et al.
World Wide Web (2021) Vol. 25, Iss. 1, pp. 401-423
Closed Access | Times Cited: 59
Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice
Teodor Zidaru, Elizabeth Morrow, Rich Stockley
Health Expectations (2021) Vol. 24, Iss. 4, pp. 1072-1124
Open Access | Times Cited: 58
Big data analytics on social networks for real-time depression detection
Jitimon Angskun, Suda Tipprasert, Thara Angskun
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 54
A deep learning based framework for diagnosis of mild cognitive impairment
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108815-108815
Closed Access | Times Cited: 54
An insight into diagnosis of depression using machine learning techniques: a systematic review
Sweta Bhadra, Chandan Jyoti Kumar
Current Medical Research and Opinion (2022) Vol. 38, Iss. 5, pp. 749-771
Closed Access | Times Cited: 53
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 53
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