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 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

Showing 1-25 of 65 citing articles:

The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
Fabeha Zafar, Laraib Fakhare Alam, Rafael R Vivas, et al.
Cureus (2024)
Open Access | Times Cited: 19

Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
Abdulmalik Fareeq Saber, Sirwan Khalid Ahmed, Safin Hussein, et al.
Oral Oncology Reports (2024) Vol. 10, pp. 100343-100343
Open Access | Times Cited: 11

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

MoodCapture: Depression Detection using In-the-Wild Smartphone Images
Subigya Nepal, Arvind Pillai, Weichen Wang, et al.
(2024), pp. 1-18
Open Access | Times Cited: 8

Actual rating calculation of the zoom cloud meetings app using user reviews on google play store with sentiment annotation of BERT and hybridization of RNN and LSTM
Md. Jahidul Islam, Ratri Datta, Anindya Iqbal
Expert Systems with Applications (2023) Vol. 223, pp. 119919-119919
Open Access | Times Cited: 14

Treating Psychological Depression Utilising Artificial Intelligence: AI for Precision Medicine- Focus on Procedures
Marwa M. Eid, Wang Yundong, George Mensah, et al.
Mesopotamian Journal of Artificial Intelligence in Healthcare (2023) Vol. 2023, pp. 76-81
Open Access | Times Cited: 14

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: 20

Experimental Analysis of Employee Depression Identification System Using Modified Learning Procedure with AI Assistance
A. Megala˥, Ramchandra D. Patil, V.P. Gladis Pushparathi, et al.
(2024)
Closed Access | Times Cited: 4

Machine Learning Algorithms to Address the Polarity and Stigma of Mental Health Disclosures on Instagram
Noemí Merayo, Alba Ayuso Lanchares, Clara González‐Sanguino
Expert Systems (2025) Vol. 42, Iss. 2
Open Access

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

Exploring the Impact of AI on Mental Health
Tanzila Akther, Audrie Leonard Baroi, Sumaya Akter
Advances in computational intelligence and robotics book series (2025), pp. 111-130
Closed Access

Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution
Tanmoy Sen, Haiying Shen, A. Iyer
(2025), pp. 507-523
Closed Access

Equipping AI-decision-support-systems with emotional capabilities? Ethical perspectives
Max Tretter
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3

Internet-based identification of anxiety in university students using text and facial emotion analysis
Graciela Guerrero, Daniel Ávila, Fernando Silva, et al.
Internet Interventions (2023) Vol. 34, pp. 100679-100679
Open Access | Times Cited: 7

User Preferences on AI Psychotherapy Based on Moderating Effects of Individual Personality Traits: Employing a Clustering Analysis
Jieon Lee, Jong Soo You, Daeho Lee
International Journal of Human-Computer Interaction (2024), pp. 1-18
Closed Access | Times Cited: 2

A Comprehensive Study on Mental Illness Through Speech and EEG Using Artificial Intelligence
Sanjana Bhat, S R Reeja
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 2

Symptom mapping and personalized care for depression, anxiety and stress: A data-driven AI approach
Sabrinna Delgado, Rose Claudia Batistelli Vignola, Renato José Sassi, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109146-109146
Closed Access | Times Cited: 2

Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram
Noemí Merayo, Alba Ayuso Lanchares, Clara González‐Sanguino
PeerJ Computer Science (2024) Vol. 10, pp. e2251-e2251
Open Access | Times Cited: 2

Use of AI to improve the teaching-learning process in children with special abilities
Esteban Rodríguez Torres, Raúl Comas Rodríguez, Edwin Tovar Briñez
LatIA (2023) Vol. 1, pp. 21-21
Closed Access | Times Cited: 6

BERT-Based Approach for Suicide and Depression Identification
S. P. Devika, M. R. Pooja, M. S. Arpitha, et al.
Lecture notes in networks and systems (2023), pp. 435-444
Closed Access | Times Cited: 5

A Brief Review of Machine Learning Methods used in Mental Health Research
Veerpal Kaur, Kamali Gupta
(2023), pp. 1-6
Closed Access | Times Cited: 5

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

Catching Elusive Depression via Facial Micro-Expression Recognition
Xiaohong Chen, Tie Luo
IEEE Communications Magazine (2023) Vol. 61, Iss. 10, pp. 30-36
Open Access | Times Cited: 4

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