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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:

Multimodal Deep Learning based Framework for Detecting Depression and Suicidal Behaviour by Affective Analysis of Social Media Posts
Anshu Malhotra, Rajni Jindal
EAI Endorsed Transactions on Pervasive Health and Technology (2020) Vol. 6, Iss. 21, pp. e1-e1
Open Access | Times Cited: 22

Showing 22 citing articles:

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: 22
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
A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 8
Detecting Mental Distresses Using Social Behavior Analysis in the Context of COVID-19: A Survey
Sahraoui Dhelim, Liming Chen, Sajal K. Das, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 14s, pp. 1-30
Open Access | Times Cited: 10
D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis
Swasthika Jain T J, I. Jeena Jacob, Ajay Kumar Mandava
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 25973-26004
Closed Access | Times Cited: 8
Cervix Image Classification for Prognosis of Cervical Cancer using Deep Neural Network with Transfer Learning
Sanjeev Dhawan, Kulvinder Singh, Mamta Arora
EAI Endorsed Transactions on Pervasive Health and Technology (2021) Vol. 7, Iss. 27, pp. e5-e5
Open Access | Times Cited: 20
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
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection
Lei Cao, Huijun Zhang, Xin Wang, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 2, pp. 1280-1296
Closed Access | Times Cited: 6
A Multi-View Learning Approach for Detecting Personality Disorders Among Arab Social Media Users
Rehab Duwairi, Zain Halloush
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 22, Iss. 4, pp. 1-19
Closed Access | Times Cited: 4
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
Lei Cao, Huijun Zhang, Ling Feng
arXiv (Cornell University) (2020)
Open Access | Times Cited: 5
Depression Tendency Detection for Microblog Users Based on SVM
Sicheng Liu, Jian Shu, Yunchun Liao
2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (2021) Vol. 3, pp. 802-806
Closed Access | Times Cited: 5
Characterisation of Mental Health Conditions in Social Media Using Deep Learning Techniques
Toshita Sharma, Rrubaa Panchendrarajan, Akrati Saxena
Studies in big data (2022), pp. 157-176
Closed Access | Times Cited: 3
Predicting Depression Levels Using Social Media Posts: A Comprehensive Survey
Shreya Shitole, Shraawani Lattoo, Anushka Chillal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 01, pp. 1-9
Open Access
A Review of Mental Health Analysis Through Social Media Using Machine Learning and Deep Learning Approaches
Maryam Saleem, Hammad Afzal
(2024), pp. 1-7
Closed Access
A Hybrid Approach for Depression Classification Using BERT and SVM
Aditya Porwal, Sri Khetwat Saritha, Mitul Kumar Ahirwal
Lecture notes in networks and systems (2024), pp. 463-475
Closed Access
Deep Learning-Based Depression Analysis Among College Students Using Multi Modal Techniques
Liyan Wang
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
Natural language processing of narrative writing for depression screening in adolescents
Anmin Yang
(2023)
Open Access | Times Cited: 1
Detection of potential anxiety in social media based on multimodal fusion with deep learning methods
Shuzhong Lai, Zepeng Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 26, pp. 560-566
Closed Access | Times Cited: 1
Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
Sahraoui Dhelim, Liming Chen, Huansheng Ning, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Suicidal Prediction Using Video, Audio, And Text Analysis
Gagan Chordia, Yash Mehta, S Nayan, et al.
(2022), pp. 40-45
Closed Access | Times Cited: 1
The Influence of COVID-19 on the Hospital Supply Chain – The Case of Portuguese NHS
José Sequeiros, Teresa Pereira, Marisa Oliveira, et al.
Lecture notes in mechanical engineering (2022), pp. 305-315
Closed Access
Developing a predictive model using Twitter dataset for recruiting job-fit candidates in higher education institutions
Junior. Vela Vela
(2022)
Open Access
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