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 hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification
Aytuǧ Onan, Serdar Korukoğlu, Hasan Bulut
Information Processing & Management (2017) Vol. 53, Iss. 4, pp. 814-833
Closed Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
Aytuǧ Onan
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 23
Closed Access | Times Cited: 359

Mining opinions from instructor evaluation reviews: A deep learning approach
Aytuǧ Onan
Computer Applications in Engineering Education (2019) Vol. 28, Iss. 1, pp. 117-138
Closed Access | Times Cited: 249

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Praphula Kumar Jain, Rajendra Pamula, Gautam Srivastava
Computer Science Review (2021) Vol. 41, pp. 100413-100413
Open Access | Times Cited: 247

Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification
Aytuǧ Onan
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 5, pp. 2098-2117
Open Access | Times Cited: 223

Evolutionary Machine Learning: A Survey
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-35
Open Access | Times Cited: 140

Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Alireza Ghorbanali, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102929-102929
Closed Access | Times Cited: 69

Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
Jasleen Kaur, Urvashi Garg, Gourav Bathla
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12725-12769
Closed Access | Times Cited: 42

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

Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
Aytuǧ Onan
Computational and Mathematical Methods in Medicine (2018) Vol. 2018, pp. 1-22
Open Access | Times Cited: 149

A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification
Osman Gökalp, Erdal Taşçı, Aybars Uğur
Expert Systems with Applications (2020) Vol. 146, pp. 113176-113176
Closed Access | Times Cited: 112

Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity
Wandeep Kaur, Vimala Balakrishnan, Omer Rana, et al.
Telematics and Informatics (2018) Vol. 39, pp. 25-36
Closed Access | Times Cited: 85

Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary
Zhi Li, Rui Li, Jin Guanghao
IEEE Access (2020) Vol. 8, pp. 75073-75084
Open Access | Times Cited: 85

Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets
Víctor Henrique Alves Ribeiro, Gilberto Reynoso-Meza
Expert Systems with Applications (2020) Vol. 147, pp. 113232-113232
Closed Access | Times Cited: 80

A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data
Na Liu, LI Xiao-mei, Ershi Qi, et al.
IEEE Access (2020) Vol. 8, pp. 171263-171280
Open Access | Times Cited: 71

The power of ensemble learning in sentiment analysis
Jacqueline Kazmaier, Jan H. van Vuuren
Expert Systems with Applications (2021) Vol. 187, pp. 115819-115819
Closed Access | Times Cited: 66

A Review on Machine Learning Models in Injection Molding Machines
Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, et al.
Advances in Materials Science and Engineering (2022) Vol. 2022, pp. 1-28
Open Access | Times Cited: 51

Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
Mehrbakhsh Nilashi, Behrouz Minaei-Bidgoli, Abdullah Alghamdi, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 117092-117092
Closed Access | Times Cited: 38

Machine Learning-based Soft Computing Regression Analysis Approach for Crime Data Prediction
Rabia Musheer Aziz, Aftab Hussain, Prajwal Sharma, et al.
Karbala International Journal of Modern Science (2022) Vol. 8, Iss. 1, pp. 1-19
Open Access | Times Cited: 37

Artificial intelligence analysis in cyber domain: A review
Liguo Zhao, Derong Zhu, Wasswa Shafik, et al.
International Journal of Distributed Sensor Networks (2022) Vol. 18, Iss. 4, pp. 155013292210848-155013292210848
Closed Access | Times Cited: 37

LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification
Zeyu Ren, Yudong Zhang, Shuihua Wang‎
Technology in Cancer Research & Treatment (2022) Vol. 21
Open Access | Times Cited: 37

Improving short text classification with augmented data using GPT-3
Salvador V. Balkus, Donghui Yan
Natural Language Engineering (2023) Vol. 30, Iss. 5, pp. 943-972
Open Access | Times Cited: 30

BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images
Sohaib Asif, Ming Zhao, Xuehan Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 499-514
Closed Access | Times Cited: 28

Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27

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