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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:

Text Classification Algorithms: A Survey
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, et al.
Information (2019) Vol. 10, Iss. 4, pp. 150-150
Open Access | Times Cited: 1338

Showing 1-25 of 1338 citing articles:

Deep Learning--based Text Classification
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 3, pp. 1-40
Closed Access | Times Cited: 1054
Artificial intelligence in the creative industries: a review
Nantheera Anantrasirichai, David Bull
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 589-656
Open Access | Times Cited: 392
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 323
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
Sixteen facial expressions occur in similar contexts worldwide
Alan Cowen, Dacher Keltner, Florian Schroff, et al.
Nature (2020) Vol. 589, Iss. 7841, pp. 251-257
Closed Access | Times Cited: 180
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Shengding Hu, Ning Ding, Huadong Wang, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 173
Academic and Administrative Role of Artificial Intelligence in Education
Sayed Fayaz Ahmad, Muhammad Mansoor Alam, Mohd Khairil Rahmat, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1101-1101
Open Access | Times Cited: 155
A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter
Amgad Muneer, Suliman Mohamed Fati
Future Internet (2020) Vol. 12, Iss. 11, pp. 187-187
Open Access | Times Cited: 153
A systematic review of hate speech automatic detection using natural language processing
Md Saroar Jahan, Mourad Oussalah
Neurocomputing (2023) Vol. 546, pp. 126232-126232
Open Access | Times Cited: 125
A comparative study of automated legal text classification using random forests and deep learning
Haihua Chen, Lei Wu, Jiangping Chen, et al.
Information Processing & Management (2021) Vol. 59, Iss. 2, pp. 102798-102798
Open Access | Times Cited: 122
A Survey on Text Classification Algorithms: From Text to Predictions
Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, et al.
Information (2022) Vol. 13, Iss. 2, pp. 83-83
Open Access | Times Cited: 120
Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 104
A Review of Explainable Deep Learning Cancer Detection Models in Medical Imaging
Mehmet A. Gulum, Christopher M. Trombley, Mehmed Kantardzic
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4573-4573
Open Access | Times Cited: 103
Transformer-based deep learning models for the sentiment analysis of social media data
Sayyida Tabinda Kokab, Sohail Asghar, Shehneela Naz
Array (2022) Vol. 14, pp. 100157-100157
Open Access | Times Cited: 99
Deep Learning-Based Cost-Effective and Responsive Robot for Autism Treatment
Aditya Singh, Kislay Raj, Teerath Kumar, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 81-81
Open Access | Times Cited: 89
A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model
Kamil Zeberga, Muhammad Attique, Babar Shah, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 80
Impact of convolutional neural network and FastText embedding on text classification
Muhammad Umer, Zainab Imtiaz, Muhammad Ahmad, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 5569-5585
Open Access | Times Cited: 80
A Complete Process of Text Classification System Using State-of-the-Art NLP Models
Varun Dogra, Sahil Verma, Kavita Kavita, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-26
Open Access | Times Cited: 76
Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
Pradeep Kumar Roy, Sunil Saumya, Jyoti Prakash Singh, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 8, Iss. 1, pp. 95-117
Open Access | Times Cited: 71
TextConvoNet: a convolutional neural network based architecture for text classification
Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 14249-14268
Open Access | Times Cited: 70
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Gustavo A. Mesías-Ruiz, María Pérez‐Ortiz, José Dorado, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 63
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: 54
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: 47
Foundation and large language models: fundamentals, challenges, opportunities, and social impacts
Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, et al.
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 1-26
Closed Access | Times Cited: 47
A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?
John Fields, Kevin Chovanec, Praveen Madiraju
IEEE Access (2024) Vol. 12, pp. 6518-6531
Open Access | Times Cited: 23
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