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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:

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

Showing 1-25 of 47 citing articles:

Blockchain-Aided Secure Semantic Communication for AI-Generated Content in Metaverse
Yijing Lin, Hongyang Du, Dusit Niyato, et al.
IEEE Open Journal of the Computer Society (2023) Vol. 4, pp. 72-83
Open Access | Times Cited: 58
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey
Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art
Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, et al.
IEEE Access (2023) Vol. 11, pp. 17031-17052
Open Access | Times Cited: 18
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: 17
Open set classification of sound event
Jie You, Wenqin Wu, Joonwhoan Lee
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
The Usage of Artificial Intelligence Technology in Music Education System under Deep Learning
Y. Chen, Yan Sun
IEEE Access (2024) Vol. 12, pp. 130546-130556
Open Access | Times Cited: 4
Small Tunes Transformer: Exploring Macro and Micro-level Hierarchies for Skeleton-Conditioned Melody Generation
Yuzhen Lv, Jing Luo, Boyuan Ju, et al.
Lecture notes in computer science (2025), pp. 30-43
Closed Access
Probe-Assisted Fine-Grained Control for Non-Differentiable Features in Symbolic Music Generation
Rafik Hachana, Bader Rasheed
IEEE Access (2025) Vol. 13, pp. 28059-28070
Open Access
An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer
Zhenzhong Shen, Weigang Han, Yanzhuo Hu, et al.
Mathematics (2025) Vol. 13, Iss. 6, pp. 975-975
Open Access
Transformer-Based Approach to Pathology Diagnosis Using Audio Spectrogram
Mohammad Tami, Sari Masri, Ahmad Hasasneh, et al.
Information (2024) Vol. 15, Iss. 5, pp. 253-253
Open Access | Times Cited: 3
Drawlody: Sketch-Based Melody Creation With Enhanced Usability and Interpretability
Qihao Liang, Ye Wang
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 7074-7088
Closed Access | Times Cited: 2
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
The Analysis of Multi-Track Music Generation With Deep Learning Models in Music Production Process
Rong Jiang, Xiaofei Mou
IEEE Access (2024) Vol. 12, pp. 110322-110330
Open Access | Times Cited: 2
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
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
SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation
Halidanmu Abudukelimu, Jishang Chen, Yunze Liang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4140-4152
Closed Access | Times Cited: 1
Remaining lifespan prediction on multiple types of hard disks under conditions of data imbalance
Quanhai Wang, Xiaohao Wang, Fahai Wang, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109195-109195
Closed Access | Times Cited: 1
DanceComposer: Dance-to-Music Generation Using a Progressive Conditional Music Generator
Xiao Liang, Wensheng Li, Lifeng Huang, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 10237-10250
Closed Access | Times Cited: 1
Toward Interactive Music Generation: A Position Paper
Shayan Dadman, Bernt A. Bremdal, Børre Bang, et al.
IEEE Access (2022) Vol. 10, pp. 125679-125695
Open Access | Times Cited: 6
LooperGP: A Loopable Sequence Model for Live Coding Performance Using GuitarPro Tablature
Sara Adkins, Pedro Sarmento, Mathieu Barthet
Lecture notes in computer science (2023), pp. 3-19
Closed Access | Times Cited: 3
Motif Transformer: Generating Music With Motifs
Heng Wang, Sen Hao, Cong Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 63197-63204
Open Access | Times Cited: 3
Variational Autoencoders for chord sequence generation conditioned on Western harmonic music complexity
Luca Comanducci, Davide Gioiosa, Massimiliano Zanoni, et al.
EURASIP Journal on Audio Speech and Music Processing (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 3
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
Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach
Shih-Lun Wu, Yi‐Hsuan Yang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 2
Foundation Models for Speech, Images, Videos, and Control
Gerhard Paaß, Sven Giesselbach
Artificial intelligence: foundations, theory, and algorithms/Artificial intelligence: Foundations, theory, and algorithms (2023), pp. 313-382
Open Access | Times Cited: 2
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