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:

Detection of fake news using deep learning CNN–RNN based methods
I. Kadek Sastrawan, I Putu Agung Bayupati, Dewa Made Sri Arsa
ICT Express (2021) Vol. 8, Iss. 3, pp. 396-408
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
Laith Abualigah, Yazan Yehia Al-Ajlouni, Mohammad Sh. Daoud, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 22

Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique
Abdullah Ali, Fuad A. Ghaleb, Bander Ali Saleh Al‐rimy, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6970-6970
Open Access | Times Cited: 38

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data
Khan Md. Hasib, Sami Azam, Asif Karim, et al.
IEEE Access (2023) Vol. 11, pp. 93048-93063
Open Access | Times Cited: 38

A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
Medeswara Rao Kondamudi, Somya Ranjan Sahoo, Lokesh Chouhan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101571-101571
Open Access | Times Cited: 31

Fake news detection based on a hybrid BERT and LightGBM models
Ehab Essa, Karima Omar, Ali Alqahtani
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 6581-6592
Open Access | Times Cited: 24

A novel approach to fake news classification using LSTM-based deep learning models
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
Frontiers in Big Data (2024) Vol. 6
Open Access | Times Cited: 11

A Hybrid Sampling Approach for Improving the Classification of Imbalanced Data Using ROS and NCL Methods
Usman Ependi, Adian Fatchur Rochim, Adi Wibowo
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 345-361
Open Access | Times Cited: 14

A Review of Methodologies for Fake News Analysis
Mehedi Tajrian, Azizur Rahman, Muhammad Ashad Kabir, et al.
IEEE Access (2023) Vol. 11, pp. 73879-73893
Open Access | Times Cited: 14

Disinformation detection using graph neural networks: a survey
Batool Lakzaei, Mostafa Haghir Chehreghani, Alireza Bagheri
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 5

A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection
Eniafe Festus Ayetiran, Özlem Özgöbek
IEEE Access (2024) Vol. 12, pp. 76133-76153
Open Access | Times Cited: 5

TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection
Shufeng Xiong, Guipei Zhang, Vishwash Batra, et al.
Information Fusion (2022) Vol. 93, pp. 150-158
Closed Access | Times Cited: 19

Enhanced Multimodal Fake News Detection with Optimal Feature Fusion and Modified Bi-LSTM Architecture
Vikash Kishore, Mukesh Kumar
Cybernetics & Systems (2023), pp. 1-31
Closed Access | Times Cited: 11

I-FLASH: Interpretable Fake News Detector Using LIME and SHAP
Vanshika Dua, Ankit Rajpal, Sheetal Rajpal, et al.
Wireless Personal Communications (2023) Vol. 131, Iss. 4, pp. 2841-2874
Closed Access | Times Cited: 11

Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Xinggang Zhang, Jianzhong Yang, Ximing J. Yang
Processes (2023) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 11

Fake News Detection Using Deep Learning: A Systematic Literature Review
Mohammad Q. Alnabhan, Paula Branco
IEEE Access (2024) Vol. 12, pp. 114435-114459
Open Access | Times Cited: 4

Multi-lingual news stack based ensemble classification for deep news feed analysis
Rakesh Kumar Sakthivel, Gayathri Nagasubramanian, S. Muthuramalingam, et al.
Neural Computing and Applications (2025)
Closed Access

Fusing CNN and LSTM Models for Enhanced Fake News Detection Using Deep Learning
A. Lakshmanarao, N. Supriya, K. Vasanth Kumar, et al.
Communications in computer and information science (2025), pp. 78-88
Closed Access

Textual Fake News Detection Based on FastText Embedding and Deep Learning
Iman Qays Abduljaleel, Israa Hazem Ali
Communications in computer and information science (2025), pp. 167-181
Closed Access

Debunking multi-lingual social media posts using deep learning
Bina Kotiyal, Heman Pathak, Nipur Singh
International Journal of Information Technology (2023) Vol. 15, Iss. 5, pp. 2569-2581
Open Access | Times Cited: 10

A Systematic Review for Classification and Selection of Deep Learning Methods
Nisa Aulia Saputra, Lala Septem Riza, Agus Setiawan, et al.
Decision Analytics Journal (2024) Vol. 12, pp. 100489-100489
Open Access | Times Cited: 3

Exploiting Content Characteristics for Explainable Detection of Fake News
Sergio Muñoz, Carlos Á. Iglesias
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 10, pp. 129-129
Open Access | Times Cited: 3

Web-Informed-Augmented Fake News Detection Model Using Stacked Layers of Convolutional Neural Network and Deep Autoencoder
Abdullah Ali, Fuad A. Ghaleb, Mohammed S. Mohammed, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 1992-1992
Open Access | Times Cited: 9

Deep Fake Image Classification Using VGG-19 Model
Chandra Bhushana Rao Killi, Narayanan Balakrishnan, Chinta Someswara Rao
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 2, pp. 509-515
Open Access | Times Cited: 8

Joint loan risk prediction based on deep learning‐optimized stacking model
Yansong Wang, Meng Wang, Yong Pan, et al.
Engineering Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 7

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