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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:

A Survey on Text Classification: From Traditional to Deep Learning
Qian Li, Hao Peng, Jianxin Li, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 2, pp. 1-41
Closed Access | Times Cited: 240

Showing 1-25 of 240 citing articles:

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
The power of talk: Exploring the effects of streamers’ linguistic styles on sales performance in B2B livestreaming commerce
Lu Liu, Jiaming Fang, Liang Yang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103259-103259
Closed Access | Times Cited: 46
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
“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
Zhiying Jiang, Matthew Yang, Mikhail Tsirlin, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 38
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: 35
Deep Learning and Reinforcement Learning

Artificial intelligence (2023)
Open Access | Times Cited: 27
Fake news detection: Taxonomy and comparative study
Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti
Information Fusion (2023) Vol. 103, pp. 102140-102140
Closed Access | Times Cited: 24
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification
Washington Cunha, Felipe Viegas, Celso França, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-52
Closed Access | Times Cited: 23
Hierarchical text classification with multi-label contrastive learning and KNN
Jun Zhang, Yubin Li, Fanfan Shen, et al.
Neurocomputing (2024) Vol. 577, pp. 127323-127323
Open Access | Times Cited: 13
Explainability in AI-based behavioral malware detection systems
Antonio Galli, Valerio La Gatta, Vincenzo Moscato, et al.
Computers & Security (2024) Vol. 141, pp. 103842-103842
Open Access | Times Cited: 13
Enhanced text classification through an improved discrete laying chicken algorithm
Fatemeh Daneshfar, Mohammad Javad Aghajani
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access | Times Cited: 11
Multi-label text classification based on semantic-sensitive graph convolutional network
Delong Zeng, Enze Zha, Jiayi Kuang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111303-111303
Closed Access | Times Cited: 18
On the class separability of contextual embeddings representations – or “The classifier does not matter when the (text) representation is so good!”
Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103336-103336
Closed Access | Times Cited: 17
Hierarchical Text Classification and Its Foundations: A Review of Current Research
Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1199-1199
Open Access | Times Cited: 7
The fusion of fuzzy theories and natural language processing: A state-of-the-art survey
Ming Liu, Hongjun Zhang, Zeshui Xu, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111818-111818
Closed Access | Times Cited: 7
Modeling and evaluation of the permeate volume in membrane desalination processes using machine-learning techniques
Vinod Kumar S, S Mukil, P Naveen, et al.
Digital Chemical Engineering (2024) Vol. 11, pp. 100154-100154
Open Access | Times Cited: 6
Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework
Hangyuan Du, Rong Yu, Liang Bai, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 10, pp. 4357-4372
Closed Access | Times Cited: 5
Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives
Alaa Albashayreh, Anindita Bandyopadhyay, Nahid Zeinali, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access | Times Cited: 5
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Hadis Bashiri, Hassan Naderi
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 5
Classifying the UN SDGs research: The problems, approaches and prospects for generative artificial intelligence
Irina Selivanova, P. Yu. Blinov, А. В. Багирова, et al.
Scientific and Technical Libraries (2025), Iss. 1, pp. 56-78
Closed Access
English text topic classification using BERT-based model
Xi Li, Lili Jia
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Research on multi-label short text categorization method for online education under deep learning
Yinuo Guo
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Topic Classification of Interviews on Emergency Remote Teaching
Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, et al.
Information (2025) Vol. 16, Iss. 4, pp. 253-253
Open Access
Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features
Zain Ul Abideen, Xiaodong Sun, Chao Sun
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2766-2791
Closed Access | Times Cited: 4
Multi-schema prompting powered token-feature woven attention network for short text classification
Zijing Cai, Hua Zhang, Peiqian Zhan, et al.
Pattern Recognition (2024) Vol. 156, pp. 110782-110782
Closed Access | Times Cited: 4
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