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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:

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

Showing 1-25 of 84 citing articles:

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
SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
Aytuǧ Onan
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101611-101611
Open Access | Times Cited: 53
A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction
Honggan Yu, Hao Sun, Jianfeng Tao, et al.
Automation in Construction (2023) Vol. 147, pp. 104734-104734
Closed Access | Times Cited: 50
Generative Pre-Trained Transformer (GPT) in Research: A Systematic Review on Data Augmentation
Fahim Sufi
Information (2024) Vol. 15, Iss. 2, pp. 99-99
Open Access | Times Cited: 25
Challenges and Opportunities of Text-Based Emotion Detection: A Survey
Abdullah Al Maruf, Fahima Khanam, Md. Mahmudul Haque, et al.
IEEE Access (2024) Vol. 12, pp. 18416-18450
Open Access | Times Cited: 18
Neural natural language processing for long texts: A survey on classification and summarization
Dimitrios Tsirmpas, Ioannis Gkionis, Georgios Th. Papadopoulos, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108231-108231
Open Access | Times Cited: 17
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Sheetal Kusal, Shruti Patil, Jyoti Choudrie, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15129-15215
Closed Access | Times Cited: 31
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
The role of IoT and XAI convergence in the prediction, explanation, and decision of customer perceived value (CPV) in SMEs: a theoretical framework and research proposition perspective
Kwabena Abrokwah-Larbi
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Identifying causes of aviation safety events using wW2V-tCNN with data augmentation
Sheng‐Hua Xiong, Xueyong Wei, Zhen‐Song Chen, et al.
International Journal of General Systems (2025), pp. 1-30
Closed Access
Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data Augmentation
Keith Cochran, Clayton Cohn, Jean‐François Rouet, et al.
Lecture notes in computer science (2023), pp. 217-228
Closed Access | Times Cited: 13
Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
Cici Suhaeni, Hwan-Seung Yong
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9766-9766
Open Access | Times Cited: 13
A Comparative Study of Feature Selection Techniques in Machine Learning for Predicting Stock Market Trends
Adi Suryaputra Paramita
Journal of Applied Data Sciences (2023) Vol. 4, Iss. 3, pp. 147-162
Open Access | Times Cited: 12
DETECTing the anomalies: Exploring implications of qualitative research in identifying AI-generated text for AI-assisted composition instruction
Ali Garib, Tina A. Coffelt
Computers & composition/Computers and composition (2024) Vol. 73, pp. 102869-102869
Closed Access | Times Cited: 4
YOLOv8-CGRNet: A Lightweight Object Detection Network Leveraging Context Guidance and Deep Residual Learning
Y. Niu, Cheng Wan-sheng, Chunni Shi, et al.
Electronics (2023) Vol. 13, Iss. 1, pp. 43-43
Open Access | Times Cited: 11
Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence
Carlo Dindorf, Jonas Dully, Jürgen Konradi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 3
Generative AI in Customer Support Services: A Framework for Augmenting the Routines of Frontline Service Employees
Philipp Reinhard, Mahei Manhai Li, Christoph Peters, et al.
SSRN Electronic Journal (2024)
Open Access | Times Cited: 3
A review on emotion detection by using deep learning techniques
Tulika Chutia, Nomi Baruah
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 3
Enhancing aspect-based sentiment analysis using data augmentation based on back-translation
Alireza Taheri, Azadeh Zamanifar, Amirfarhad Farhadi
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 3
Domain-Aligned Data Augmentation for Low-Resource and Imbalanced Text Classification
Nikolaos Stylianou, Despoina Chatzakou, Theodora Tsikrika, et al.
Lecture notes in computer science (2023), pp. 172-187
Open Access | Times Cited: 8
A Survey on Data Augmentation Techniques
K. Nanthini, D. Sivabalaselvamani, K. Chitra, et al.
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2023)
Closed Access | Times Cited: 8
A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT
Ebtsam A. Mohamed, Walaa N. Ismail, Osman Ali Sadek Ibrahim, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Few-shot biomedical relation extraction using data augmentation and domain information
Bicheng Guo, Di Zhao, Xin Dong, et al.
Neurocomputing (2024) Vol. 595, pp. 127881-127881
Closed Access | Times Cited: 2
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Xuming Hu, Aiwei Liu, Zeqi Tan, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 10221-10234
Open Access | Times Cited: 7
Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction
Fahim Sufi
Information (2024) Vol. 15, Iss. 5, pp. 264-264
Open Access | Times Cited: 2
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