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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:

Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text
Mai A. Shaaban, Yasser F. Hassan, Shawkat K. Guirguis
Complex & Intelligent Systems (2022) Vol. 8, Iss. 6, pp. 4897-4909
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms
Yahya Tashtoush, Balqis Alrababah, Omar Darwish, et al.
Data (2022) Vol. 7, Iss. 5, pp. 65-65
Open Access | Times Cited: 38
Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation
M. Prakash, S. Neelakandan, Abbas Mardani, et al.
Enterprise Information Systems (2023) Vol. 17, Iss. 10
Closed Access | Times Cited: 19
Quality Enhancement for Uninvited Content of Social Media Using Support Vector Machine and Alexnet
M. Saravanan, D. Shirbahadurkar Suresh, I. Sudha, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 17
Spam detection for Youtube video comments using machine learning approaches
Andrew S. Xiao, Qilian Liang
Machine Learning with Applications (2024) Vol. 16, pp. 100550-100550
Open Access | Times Cited: 4
A novel deep learning model-based optimization algorithm for text message spam detection
Lipsa Das, Laxmi Ahuja, Adesh Pandey
The Journal of Supercomputing (2024) Vol. 80, Iss. 12, pp. 17823-17848
Closed Access | Times Cited: 4
Fusion-Based Hybrid Model for SMS Spam Detection Integrating Local, Sequential, and Contextual Features
Hussein Al-Kaabi, Fuqdan A. Al-Ibraheemi, Ali Kadhim Jasim, et al.
Research Square (Research Square) (2025)
Closed Access
SMS sentiment classification using an evolutionary optimization based fuzzy recurrent neural network
Ulligaddala Srinivasarao, Aakanksha Sharaff
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42207-42238
Open Access | Times Cited: 10
Making data classification more effective: An automated deep forest model
Jingwei Guo, Xiang Guo, Yihui Tian, et al.
Journal of Industrial Information Integration (2024) Vol. 42, pp. 100738-100738
Open Access | Times Cited: 2
Multi-lingual Spam SMS detection using a hybrid deep learning technique
E. Ramanujam, K. Shankar, Arpit Sharma
(2022), pp. 1-6
Closed Access | Times Cited: 10
DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer
Liye Jia, Xueting Ren, Wei Wu, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 1115-1130
Open Access | Times Cited: 6
Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online
Alaa Marshan, Farah Nasreen Mohamed Nizar, Athina Ioannou, et al.
Information Systems Frontiers (2023)
Open Access | Times Cited: 5
Evolutionary convolutional neural network for image classification based on multi-objective genetic programming with leader–follower mechanism
Qingqing Liu, Xianpeng Wang, Yao Wang, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 3, pp. 3211-3228
Open Access | Times Cited: 8
Arabic Tweets Spam Detection Based on Various Supervised Machine Learning and Deep Learning Classifiers
Shimaa I. Hassan, Lamiaa A. Elrefaei, Mina Andraws
MSA Engineering Journal (2023) Vol. 2, Iss. 2, pp. 1099-1119
Open Access | Times Cited: 4
Study of Machine Learning and Deep Learning Algorithms for the Detection of Email Spam based on Python Implementation
Sahote Tejinder Singh Surinder Pal Singh, Madhuri Dinesh Gabhane, Chaitanya Vijaykumar Mahamuni
(2023), pp. 637-642
Closed Access | Times Cited: 4
A Novel Approach for Arabic SMS Spam Detection Using Hybrid Deep Learning Techniques
Mohammed Rasol Al Saidat, Suleiman Y. Yerima, Khaled Shaalan
Procedia Computer Science (2024) Vol. 244, pp. 260-267
Open Access | Times Cited: 1
SMS SPAM DETECTION WITH MULTINOMIAL NAIVE BAYES
Mrs. Mounika J
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 03, pp. 1-5
Open Access
Adap-BDCM: Adaptive Bilinear Dynamic Cascade Model for Classification Tasks on CNV Datasets
Liancheng Jiang, Liye Jia, Yizhen Wang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 1019-1037
Closed Access
Convolutional Neural Network Based Detection Approach of Undesirable SMS (Short Message Service) in the Cameroonian Context
Loic Youmbi, Ali Wacka, Norbert Tsopzé
Communications in computer and information science (2024), pp. 1-14
Closed Access
A Collaborative Learning Technique for Improved Email Security
Yaser Ali Shah, Nimra Waqar, Um-e-Aimen, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 2, pp. 142-154
Open Access
EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection
Yusuf Bilgen, Mahmut Kaya
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9669-9669
Open Access
Deeply integrating unsupervised semantics and syntax into heterogeneous graphs for inductive text classification
Yue Gao, Xiangling Fu, Xien Liu, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 1565-1579
Open Access | Times Cited: 1
A Hybrid Model with New Word Weighting for Fast Filtering Spam Short Texts
Tian Xia, Xuemin Chen, Jiacun Wang, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8975-8975
Open Access | Times Cited: 1
A Review on Artificial Intelligence Techniques for Multilingual SMS Spam Detection
E. Ramanujam, K. Shankar, Arpit Sharma
Lecture notes in electrical engineering (2023), pp. 525-536
Closed Access | Times Cited: 1
AI Methods Used for Spam Detection in Social Systems - An Overview
Ayman Odeh, Mohammad Al Hattab
(2023), pp. 1-8
Closed Access | Times Cited: 1
Dynamic Ensemble Learning with Evolutionary Programming and Swarm Intelligence for Image Classification
G Uday Kiran, V Srilakshmi, R. Deepika, et al.
Procedia Computer Science (2023) Vol. 230, pp. 669-678
Open Access | Times Cited: 1
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