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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:

A novel automated depression detection technique using text transcript
Uma Yadav, Ashish K. Sharma
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 108-122
Closed Access | Times Cited: 21

Showing 21 citing articles:

Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review
Kholoud Elnaggar, M. M. El-Gayar, Mohammed Elmogy
Diagnostics (2025) Vol. 15, Iss. 2, pp. 210-210
Open Access | Times Cited: 1
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
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 21
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
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Julia Cecil, Anne‐Kathrin Kleine, Eva Lermer, et al.
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access
Recent advances in agricultural disease image recognition technologies: A review
Shweta Bondre, Dipti Patil
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 9
Closed Access | Times Cited: 9
Crop disease identification segmentation algorithm based on Mask‐RCNN
Shweta Bondre, Dipti Patil
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 1088-1098
Closed Access | Times Cited: 8
Review of automated depression detection: Social posts, audio and video, open challenges and future direction
Uma Yadav, Ashish K. Sharma, Dipti Patil
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 1
Closed Access | Times Cited: 14
Detection of the Severity Level of Depression Signs in Text Combining a Feature-Based Framework with Distributional Representations
Sergio Muñoz, Carlos Á. Iglesias
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11695-11695
Open Access | Times Cited: 5
Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study
Julia Cecil, Anne‐Kathrin Kleine, Eva Lermer, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Juho Jung, Chaewon Kang, Jeewoo Yoon, et al.
(2024), pp. 1049-1059
Closed Access | Times Cited: 1
A Novel Machine Learning and Deep Learning Driven Prediction for Pre-diabetic Patients
Sahil Shahakar, Priyal Chopde, Neha Purohit, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-6
Closed Access | Times Cited: 3
Machine learning-based detection of emotion based on voice
Kavita A. Kathane, Rushikesh M. Shete, Lalit B. Damahe, et al.
AIP conference proceedings (2024) Vol. 3188, pp. 080003-080003
Closed Access
Electricity Fault Detection using AI/Ml
Shreyash Tembhare, Amit Mankar, Adnan Sheikh, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 1
Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews
Milad Katebi, Mani Poshdar, Mostafa Babaeian Jelodar, et al.
Proceedings e report (2023), pp. 998-1009
Closed Access | Times Cited: 1
A Multimodal Fusion Model for Depression Detection Assisted by Stacking DNNs
Filipe Fontinele de Almeida, Kelson Aires, André Soares, et al.
(2024)
Open Access
AN INTELLIGENT DEPRESSION DETECTION MODEL BASED ON MULTIMODAL FUSION TECHNOLOGY
Zixuan Cheng, Xisheng Huang, YANG DING
Journal of Mechanics in Medicine and Biology (2024) Vol. 24, Iss. 08
Closed Access
Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment
Jing‐Shia Tang, Yi Shang
(2024), pp. 162-171
Closed Access
Empirical Analysis of Depression Detection Using Deep Learning on Twitter
Arunima Jaiswal, Payal Porwal, Anushka Singh, et al.
Lecture notes in networks and systems (2023), pp. 293-309
Closed Access
Sentimental Analysis of Social Media Data for Mental Health Monitoring
Ashish Raj Shekhar, Tanya Gupta
(2023), pp. 1-6
Closed Access
Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews
Milad Katebi, Mani Poshdar, Mostafa Babaeian Jelodar, et al.
Proceedings e report (2023), pp. 998-1009
Closed Access
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