Open Access Helper

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:

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: 21

Showing 21 citing articles:

The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Jing Wang, Hui Ouyang, Runda Jiao, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Bimodal Self-Esteem Recognition: A Multi-Scenario Approach Based on Psychology
Xinlei Zang, Juan Yang
(2025)
Closed Access
Enhanced electrochemical oxidation and machine learning-assisted sensing of tetrabromobisphenol A using activated carbon facilitated CoWO4 heterostructures
Sana Jawaid, B.P. Sharma, Sadam Hussain Tumrani, et al.
Materials Science and Engineering B (2024) Vol. 308, pp. 117546-117546
Closed Access | Times Cited: 2
Clinical, legal and ethical implications of coercion and compulsory treatment in eating disorders: do rapid review findings identify clear answers or more muddy waters?
Stephen Touyz, Phillip Aouad, Terry Carney, et al.
Journal of Eating Disorders (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence for Analyzing Psychiatric Disorders in Social Media: A Quarter-Century Narrative Review of Progress and Challenges (Preprint)
David Owen, Amy Lynham, Sophie E Smart, et al.
(2024)
Open Access | Times Cited: 1
Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study
Deren Xu, Weng Howe Chan, Habibollah Haron
PeerJ Computer Science (2024) Vol. 10, pp. e2217-e2217
Open Access | Times Cited: 1
An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare
S Sangeetha, Rajeswari Rajesh Immanuel, Sandeep Kumar Mathivanan, et al.
IEEE Access (2024) Vol. 12, pp. 114416-114434
Open Access | Times Cited: 1
Multimodal driver emotion recognition using motor activity and facial expressions
Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 1
Multimodal prediction of obsessive-compulsive disorder, comorbid depression, and energy of deep brain stimulation
Saurabh Hinduja, Ali Darzi, Itır Önal Ertuğrul, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 4, pp. 2025-2041
Closed Access
A Hybrid Ensemble Approach for Depression Detection: Combining Deep Learning and Machine Learning
Richard Shan
(2024), pp. 311-316
Closed Access
Multimodal prediction of obsessive-compulsive disorder, comorbid depression, and energy of deep brain stimulation
Saurabh Hinduja, Ali Darzi, Itır Önal Ertuğrul, et al.
(2024)
Open Access
Multimodal prediction of obsessive-compulsive disorder, comorbid depression, and energy of deep brain stimulation
Saurabh Hinduja, Ali Darzi, Itır Önal Ertuğrul, et al.
(2024)
Open Access
A Practical Approach to Predicting Depression: Verbal and Non-Verbal Insights with Machine Learning
Sanskar Rahul Nanegaonkar, K. Andô
Health Informatics - An International Journal (2024) Vol. 13, Iss. 2, pp. 15-24
Open Access
Generative AI in Network Security and Intrusion Detection
Siva Raja Sindiramutty, Krishna Raj V. Prabagaran, N. Z. Jhanjhi, et al.
Advances in information security, privacy, and ethics book series (2024), pp. 77-124
Closed Access
Artificial Intelligence for Analyzing Mental Health Disorders in Social Media: A Quarter-Century Narrative Review of Progress and Challenges (Preprint)
David Owen, Amy Lynham, Sophie E Smart, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e59225-e59225
Open Access
Unveiling Hidden Patterns in Speech: Audio Signal-Based Approach for Depression Detection
Debadrita Ghosh, Hema Karande, Shilpa Gite
Lecture notes in networks and systems (2024), pp. 293-309
Closed Access
Mental illness detection through harvesting social media: a comprehensive literature review
Shahid Munir Shah, Mahmoud Aljawarneh, Muhammad Aamer Saleem, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2296-e2296
Open Access
Enhanced Machine Learning Framework for Autonomous Depression Detection Using Modwave Cepstral Fusion and Stochastic Embedding
J. Jacob, Kasthuri Kannan
Informatics and Automation (2024) Vol. 23, Iss. 6, pp. 1754-1783
Open Access
Decoding Emotions: How AI and Machine Learning Unravel the Human Psyche
Rocco de Filippis, Abdullah Al Foysal
Voice of the Publisher (2024) Vol. 10, Iss. 04, pp. 382-399
Open Access
An Applied Study of Multi-modal Emotion Recognition to Assist in The Diagnosis of Depression
Siyu Wang
Highlights in Science Engineering and Technology (2024) Vol. 119, pp. 454-460
Closed Access
Screening Students for Stress Using Fitbit Data
Rebecca M. Lopez, Avantika Shrestha, Kevin Hickey, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3931-3934
Closed Access
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