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:

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: 233

Showing 1-25 of 233 citing articles:

Data augmentation approaches in natural language processing: A survey
Bohan Li, Yutai Hou, Wanxiang Che
AI Open (2022) Vol. 3, pp. 71-90
Open Access | Times Cited: 203

Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 158

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: 106

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 106

Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers
Markus Bayer, Marc‐André Kaufhold, Björn Buchhold, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 1, pp. 135-150
Open Access | Times Cited: 84

Tabular and latent space synthetic data generation: a literature review
João Fonseca, Fernando Bação
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 49

GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation
Aytuǧ Onan
Expert Systems with Applications (2023) Vol. 232, pp. 120908-120908
Closed Access | Times Cited: 45

High imbalance fault diagnosis of aviation hydraulic pump based on data augmentation via local wavelet similarity fusion
Song Fu, Lin Lin, Yue Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111115-111115
Closed Access | Times Cited: 17

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

Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review
Ashokkumar Palanivinayagam, Claude Ziad El‐Bayeh, Robertas Damaševičius
Algorithms (2023) Vol. 16, Iss. 5, pp. 236-236
Open Access | Times Cited: 33

Common vulnerability scoring system prediction based on open source intelligence information sources
Philipp Kühn, David N. Relke, Christian Reuter
Computers & Security (2023) Vol. 131, pp. 103286-103286
Open Access | Times Cited: 21

Chinese mineral question and answering system based on knowledge graph
Chengjian Liu, Xiaohui Ji, Yuhang Dong, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120841-120841
Closed Access | Times Cited: 21

GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detection in IIoT
Francisco S. Melícias, Tiago Ribeiro, Carlos Rabadão, et al.
IEEE Access (2024) Vol. 12, pp. 17945-17965
Open Access | Times Cited: 10

Beyond Language Barriers: Allowing Multiple Languages in Postsecondary Chemistry Classes Through Multilingual Machine Learning
Paul P. Martin, Nicole Graulich
Journal of Science Education and Technology (2024) Vol. 33, Iss. 3, pp. 333-348
Open Access | Times Cited: 9

CySecBERT : A Domain-Adapted Language Model for the Cybersecurity Domain
Markus Bayer, Philipp Kuehn, Ramin Shanehsaz, et al.
ACM Transactions on Privacy and Security (2024) Vol. 27, Iss. 2, pp. 1-20
Closed Access | Times Cited: 9

Imbalanced data classification: Using transfer learning and active sampling
Yang Liu, Guoping Yang, Shaojie Qiao, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105621-105621
Closed Access | Times Cited: 31

Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
Lukas Galke, Ansgar Scherp
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 4038-4051
Open Access | Times Cited: 29

Multi-level fine-tuning, data augmentation, and few-shot learning for specialized cyber threat intelligence
Markus Bayer, Tobias Frey, Christian Reuter
Computers & Security (2023) Vol. 134, pp. 103430-103430
Open Access | Times Cited: 16

A supervised data augmentation strategy based on random combinations of key features
Yongchang Ding, Chang Liu, Haifeng Zhu, et al.
Information Sciences (2023) Vol. 632, pp. 678-697
Open Access | Times Cited: 15

Evaluating the Impact of Data Augmentation on Predictive Model Performance
Valdemar Švábenský, Conrad Borchers, Elizabeth B. Cloude, et al.
(2025), pp. 126-136
Open Access

Augmented Language Dataset for Enhanced Personality Profiling
Mohmad Azhar Teli, Manzoor Ahmad Chachoo
International journal of electrical and computer engineering systems (2025) Vol. 16, Iss. 1, pp. 65-74
Open Access

A parameter-free text classification method based on dual compressors
Yanxu Mao, Ying Ding, Tiehan Cui
Knowledge and Information Systems (2025)
Closed Access

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