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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:

Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang, et al.
(2021), pp. 4653-4660
Open Access | Times Cited: 217

Showing 1-25 of 217 citing articles:

Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, et al.
(2023), pp. 6778-6786
Open Access | Times Cited: 477
A survey of uncertainty in deep neural networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1513-1589
Open Access | Times Cited: 468
An empirical survey of data augmentation for time series classification with neural networks
Brian Kenji Iwana, Seiichi Uchida
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0254841-e0254841
Open Access | Times Cited: 461
A Survey on Data Augmentation for Text Classification
Markus Bayer, Marc‐André Kaufhold, Christian Reuter
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-39
Open Access | Times Cited: 236
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, et al.
IEEE Access (2021) Vol. 9, pp. 109960-109975
Open Access | Times Cited: 202
Integrating Machine Learning with Human Knowledge
Changyu Deng, Xunbi A. Ji, Colton Rainey, et al.
iScience (2020) Vol. 23, Iss. 11, pp. 101656-101656
Open Access | Times Cited: 195
A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, et al.
IEEE Access (2022) Vol. 10, pp. 65426-65438
Open Access | Times Cited: 175
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 117
Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review
Md Maruf Hossain Shuvo, Syed K. Islam, Jianlin Cheng, et al.
Proceedings of the IEEE (2022) Vol. 111, Iss. 1, pp. 42-91
Open Access | Times Cited: 93
Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy
Li Wang, Xinyu Zhang, Ziying Song, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 7, pp. 3781-3798
Closed Access | Times Cited: 92
StockNet—GRU based stock index prediction
Umang Gupta, Vandana Bhattacharjee, Partha Sarathi Bishnu
Expert Systems with Applications (2022) Vol. 207, pp. 117986-117986
Closed Access | Times Cited: 74
Data management for production quality deep learning models: Challenges and solutions
Aiswarya Raj Munappy, Jan Bosch, Helena Holmström Olsson, et al.
Journal of Systems and Software (2022) Vol. 191, pp. 111359-111359
Open Access | Times Cited: 68
Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 32
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Chuanting Zhang, Shuping Dang, Basem Shihada, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2021)
Open Access | Times Cited: 76
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana, Seiichi Uchida
2022 26th International Conference on Pattern Recognition (ICPR) (2021)
Open Access | Times Cited: 73
Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG
Yu Pei, Zhiguo Luo, Ye Yan, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 69
Contrastive learning based self-supervised time-series analysis
Johannes Pöppelbaum, Gavneet Singh Chadha, Andreas Schwung
Applied Soft Computing (2022) Vol. 117, pp. 108397-108397
Closed Access | Times Cited: 64
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
IEEE Access (2021) Vol. 9, pp. 94625-94643
Open Access | Times Cited: 57
Data augmentation techniques in natural language processing
Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa
Applied Soft Computing (2022) Vol. 132, pp. 109803-109803
Open Access | Times Cited: 51
TFAD
Chaoli Zhang, Tian Zhou, Qingsong Wen, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 2497-2507
Open Access | Times Cited: 44
COCOA
Shohreh Deldari, Hao Xue, Aaqib Saeed, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 3, pp. 1-28
Open Access | Times Cited: 43
Solving the class imbalance problem using a counterfactual method for data augmentation
Mohammed Temraz, Mark T. Keane
Machine Learning with Applications (2022) Vol. 9, pp. 100375-100375
Open Access | Times Cited: 40
Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition
Dongzhou Cheng, Lei Zhang, Can Bu, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110789-110789
Closed Access | Times Cited: 30
Time Series Contrastive Learning with Information-Aware Augmentations
Dongsheng Luo, Wei Cheng, Yingheng Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4534-4542
Open Access | Times Cited: 29
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
Lei Ren, Zidi Jia, Yuanjun Laili, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-20
Open Access | Times Cited: 22
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