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:

Symbolic Music Generation with Transformer-GANs
Aashiq Muhamed, Liang Li, Xingjian Shi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 1, pp. 408-417
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Miguel Civit, Javier Civit-Masot, Francisco Cuadrado, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118190-118190
Open Access | Times Cited: 75

Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer
Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 3495-3508
Open Access | Times Cited: 47

A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges
Shulei Ji, Xinyu Yang, Jing Luo
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-39
Open Access | Times Cited: 33

Multitrack Music Transformer
Hao‐Wen Dong, Ke Chen, Shlomo Dubnov, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Open Access | Times Cited: 16

Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model
Jaeyong Kang, Soujanya Poria, Dorien Herremans
Expert Systems with Applications (2024) Vol. 249, pp. 123640-123640
Open Access | Times Cited: 7

AI-driven music composition: Melody generation using Recurrent Neural Networks and Variational Autoencoders
Han Zhao, Sung‐Wook Min, Jianwei Fang, et al.
Alexandria Engineering Journal (2025) Vol. 120, pp. 258-270
Closed Access

Recent Advances of Computational Intelligence Techniques for Composing Music
Yu-Wei Wen, Chuan-Kang Ting
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 578-597
Closed Access | Times Cited: 12

Style-conditioned music generation with Transformer-GANs
W.X. Wang, Jiahui Li, Yifan Li, et al.
Frontiers of Information Technology & Electronic Engineering (2024) Vol. 25, Iss. 1, pp. 106-120
Closed Access | Times Cited: 2

Shedding Light on Diagnostic Precision: GANs for Low Light Endoscopy Image Enhancements
Muhammad Asif, Hong Song, Muhammad Azam Zia, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2

Dance2MIDI: Dance-driven multi-instrument music generation
Bo Han, Yuheng Li, Yixuan Shen, et al.
Computational Visual Media (2024) Vol. 10, Iss. 4, pp. 791-802
Open Access | Times Cited: 2

The Power of Fragmentation: A Hierarchical Transformer Model for Structural Segmentation in Symbolic Music Generation
Guowei Wu, Shipei Liu, Xiaoya Fan
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 31, pp. 1409-1420
Open Access | Times Cited: 6

Transformer-Based Seq2Seq Model for Chord Progression Generation
Shuyu Li, Yunsick Sung
Mathematics (2023) Vol. 11, Iss. 5, pp. 1111-1111
Open Access | Times Cited: 5

Conditional hybrid GAN for melody generation from lyrics
Yi Yu, Zhe Zhang, Wei Duan, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 4, pp. 3191-3202
Closed Access | Times Cited: 9

An Empirical Study on How People Perceive AI-generated Music
Hyeshin Chu, Joohee Kim, Seongouk Kim, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 304-314
Closed Access | Times Cited: 9

The Beauty of Repetition: An Algorithmic Composition Model With Motif-Level Repetition Generator and Outline-to-Music Generator in Symbolic Music Generation
Zhejing Hu, Xiao Ma, Yan Liu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 4320-4333
Closed Access | Times Cited: 4

Exploring AI Music Generation: A Review of Deep Learning Algorithms and Datasets for Undergraduate Researchers
Isshin Yunoki, Guy Berreby, Nicholas D’Andrea, et al.
Communications in computer and information science (2023), pp. 102-116
Closed Access | Times Cited: 4

Generating Musical Sequences with Transformers
Nidhi Dewangan, Megha Singh, Vijayant Verma
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1535-1539
Open Access | Times Cited: 1

Self-attention generative adversarial networks applied to conditional music generation
Pedro Lucas Tomaz Neves, José Fornari, João B. Florindo
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 24419-24430
Closed Access | Times Cited: 5

The Beauty of Repetition in Machine Composition Scenarios
Zhejing Hu, Xiao Ma, Yan Liu, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2022)
Open Access | Times Cited: 4

How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright
Amanda M. Horzyk
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access | Times Cited: 2

Neural Networks in Music Generation
hamed ahmadpour
SSRN Electronic Journal (2024)
Closed Access

Multi-Think Transformer for Enhancing Emotional Health
Jiarong Wang, Jiaji Wu, Shaohong Chen, et al.
ACM Transactions on Internet Technology (2024)
Open Access

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model
Zhejing Hu, Yan Liu, Chen Gong, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 521-529
Open Access

Classical Turkish Music Composition with LSTM Self-Attention
Ahmet Kaşif, Selçuk Sevgen
Journal of Innovative Science and Engineering (JISE) (2024)
Open Access

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