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:

Using machine learning analysis to interpret the relationship between music emotion and lyric features
Liang Xu, Zaoyi Sun, Xin Wen, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e785-e785
Open Access | Times Cited: 10

Showing 10 citing articles:

Using Deep Learning to Recognize Therapeutic Effects of Music Based on Emotions
Horia Alexandru Modran, Tinashe Chamunorwa, Doru UrsuĊ£iu, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 986-986
Open Access | Times Cited: 24

Integrating Individual Factors to Construct Recognition Models of Consumer Fraud Victimization
Liuchang Xu, Jie Wang, Dayu Xu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 1, pp. 461-461
Open Access | Times Cited: 14

Using artificial intelligence to analyze and classify music emotion
Hongyu Liu
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 4-5, pp. 2611-2628
Closed Access | Times Cited: 1

Accuracy Prediction for Music Therapy Data using Kappa Model
Yogesh Pingle, Lakshmappa K. Ragha
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 240-246
Closed Access

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

The Rhythm of the Mind: Exploring the Link Between Music Preferences and Mental Health Through Machine Learning
Andrew Lian, Yong Chen
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7354-7358
Closed Access

DeepLyric: Predicting Music Emotions through LSTM-GRU Hybrid Models with Regularization Techniques
Felicia Angelica, Romington Hydro, Zefanya Delvin Sulistiya, et al.
Procedia Computer Science (2023) Vol. 227, pp. 973-980
Open Access | Times Cited: 1

Multimodal Music Emotion Recognition based on WLDNN_GAN
Lanqing Yin, Jiandong Tang, Jinming Yu
(2022), pp. 528-532
Closed Access

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