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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:

Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial
Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 185, pp. 105160-105160
Closed Access | Times Cited: 25

Showing 25 citing articles:

Using Deep Learning to Recognize Therapeutic Effects of Music Based on Emotions
Horia Alexandru Modran, Tinashe Chamunorwa, Doru Ursuțiu, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 986-986
Open Access | Times Cited: 27
The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review
Hongmin Chu, Seunghwan Moon, Jeongsu Park, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 33
3DTCN-CBAM-LSTM short-term power multi-step prediction model for offshore wind power based on data space and multi-field cluster spatio-temporal correlation
Ruoyun Du, Hongfei Chen, Min Yu, et al.
Applied Energy (2024) Vol. 376, pp. 124169-124169
Closed Access | Times Cited: 6
A systematic review on effect of music intervention on cognitive impairment using EEG, fMRI, and cognitive assessment modalities
Keerthik Dhivya Rajakumar, M. Jagannath
Results in Engineering (2024) Vol. 22, pp. 102224-102224
Open Access | Times Cited: 6
A novel music-based therapeutic approach: the Therapeutic Music Listening
Alfredo Raglio
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11
Emergence of Artificial Intelligence Art Therapies (AIATs) in Mental Health Care: A Systematic Review
Xuexing Luo, Aijia Zhang, Yu Li, et al.
International Journal of Mental Health Nursing (2024) Vol. 33, Iss. 6, pp. 1743-1760
Closed Access | Times Cited: 4
Musicians and researchers: two creative professions striving to improve heart health through music
Andrea Pozzati, Ralf Weiskirchen
Frontiers in Cardiovascular Medicine (2025) Vol. 11
Open Access
VR rehabilitation system evaluator: A fNIRS-based and LLM-enabled evaluation paradigm for Mild Cognitive Impairment
Yanjie Zhang, Fan Li, Danni Chang
Advanced Engineering Informatics (2024) Vol. 62, pp. 102734-102734
Closed Access | Times Cited: 3
Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study
Alessandro Tonacci, Alessandro Dellabate, Andrea Dieni, et al.
Processes (2020) Vol. 8, Iss. 4, pp. 448-448
Open Access | Times Cited: 16
An in-depth analysis of music structure and its effects on human body for music therapy
Yogesh Pingle, Lakshmappa K. Ragha
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45715-45738
Closed Access | Times Cited: 5
Effective prediction on music therapy using hybrid SVM-ANN approach
K. Devendran, S.K. Thangarasu, P. Keerthika, et al.
ITM Web of Conferences (2021) Vol. 37, pp. 01014-01014
Open Access | Times Cited: 11
Algorithmic Music for Therapy: Effectiveness and Perspectives
Alfredo Raglio, Paola Baiardi, Giuseppe Vizzari, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 8833-8833
Open Access | Times Cited: 11
3dtcn-Cbam-Lstm Short-Term Power Multi-Step Prediction Model for Offshore Wind Power Based on Data Space and Multi-Field Cluster Spatio-Temporal Correlation
Ruoyun Du, Hongfei Chen, Min Yu, et al.
(2024)
Closed Access | Times Cited: 1
Classification of Music Genres using Feature Selection and Hyperparameter Tuning
Rahul Singhal, Shruti Srivatsan, Priyabrata Panda
Journal of Artificial Intelligence and Capsule Networks (2022) Vol. 4, Iss. 3, pp. 167-178
Open Access | Times Cited: 6
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of Italian Research Community
Alessio Bottrighi, Marzio Pennisi
(2023)
Open Access | Times Cited: 3
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Alessio Bottrighi, Marzio Pennisi
Information (2023) Vol. 14, Iss. 9, pp. 513-513
Open Access | Times Cited: 3
More music, more health!
Alfredo Raglio
Journal of Public Health (2020) Vol. 43, Iss. 4, pp. e742-e744
Open Access | Times Cited: 6
A System for Anxiety Prediction and Treatment Using Indian Classical Music Therapy with the Application of Machine Learning
G. Kruthika, Padmaja Kuruba, N. D. Dushyantha
Lecture notes on data engineering and communications technologies (2021), pp. 345-359
Closed Access | Times Cited: 6
Investigation and evaluation of randomized controlled trials for interventions involving artificial intelligence
Jianjian Wang, Shouyuan Wu, Qiangqiang Guo, et al.
Intelligent Medicine (2021) Vol. 1, Iss. 2, pp. 61-69
Open Access | Times Cited: 4
Artificial Neural Networks for a Semantic Map of Variables in a Music Listening-Based Study
Alfredo Raglio, Enzo Grossi, Luca Manzoni
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11811-11811
Open Access | Times Cited: 1
A Survey on Exploring the Relationship Between Music and Mental Health Using Machine Learning Analysis
A. Padmini, M. Yogeshwari
Advances in computational intelligence and robotics book series (2024), pp. 304-318
Closed Access
Applications of technology innovations in music therapy practice
Alfredo Raglio
Nordic Journal of Music Therapy (2024), pp. 1-11
Closed Access
MACHINE LEARNING IN HEALTHCARE MANAGEMENT FOR MEDICAL INSURANCE COST PREDICTION
Thais Carreira Pfutzenreuter, Edson Pinheiro de Lima
Anais ... Encontro Nacional de Engenharia de Produção/Anais do Encontro Nacional de Engenharia de Produção (2021)
Open Access | Times Cited: 1
Programas de Expresión Musical en Educación Infantil para mejorar la inclusión
Celia Escudero Carrascal, María Fernández Hawrylak, María Esther Ruiz Palomo
Revista Electrónica Complutense de Investigación en Educación Musical - RECIEM (2023) Vol. 20, pp. 25-48
Open Access
Understanding the Influence of Genre-Specific Music Using Network Analysis and Machine Learning Algorithms
Bishal Lamichhane, Aniket Kumar Singh, Suman Devkota, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 4, pp. 180-180
Open Access
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