Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An image and text-based multimodal model for detecting fake news in OSN’s
Santosh Kumar Uppada, Parth Patel, B. Sivaselvan
Journal of Intelligent Information Systems (2022) Vol. 61, Iss. 2, pp. 367-393
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Emotion detection for misinformation: A review
Zhiwei Liu, Tianlin Zhang, Kailai Yang, et al.
Information Fusion (2024) Vol. 107, pp. 102300-102300
Open Access | Times Cited: 13
Graph convolution networks for social media trolls detection use deep feature extraction
Muhammad Asif, Muna Al‐Razgan, Yasser A. Ali, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 11
A systematic review of multimodal fake news detection on social media using deep learning models
Maged Nasser, Noreen Izza Arshad, Abdulalem Ali, et al.
Results in Engineering (2025) Vol. 26, pp. 104752-104752
Closed Access | Times Cited: 1
Identifying multimodal misinformation leveraging novelty detection and emotion recognition
Rina Kumari, Nischal Ashok, P. K. Agrawal, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 3, pp. 673-694
Open Access | Times Cited: 11
A data augmentation approach based on various GAN models to address class imbalance in fine-grained multimodal fake news datasets
Suhaib Kh. Hamed, Mohd Juzaiddin Ab Aziz, Mohd Ridzwan Yaakub
Computing (2025) Vol. 107, Iss. 1
Closed Access
A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection
Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An artful multimodal exploration in discerning fake news through text and image harmony
A. Vineela, Ashapu Bhavani, B. Vamsi Krishna, et al.
Multimedia Tools and Applications (2025)
Closed Access
On the Integration of Social Context for Enhanced Fake News Detection Using Multimodal Fusion Attention Mechanism
Hachemi Nabil Dellys, Halima Mokeddem, Layth Sliman
AI (2025) Vol. 6, Iss. 4, pp. 78-78
Open Access
Integrating Multimodal Data with Mathematical Models for Effective Fake News Classification
Sudha Patel, Shivangi Surati
Communications in computer and information science (2025), pp. 273-285
Closed Access
Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review
Iman Qays Abduljaleel, Israa Hadi Ali
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15665-15675
Open Access | Times Cited: 3
A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers
Hariharan RamakrishnaIyer LekshmiAmmal, M. Anand Kumar
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Integrating Explainable AI with Enhanced Ensemble Models for Accurate and Transparent Fake News Detection in OSN’s
Medeswara Rao Kondamudi, Somya Ranjan Sahoo
Procedia Computer Science (2025) Vol. 258, pp. 1081-1090
Open Access
Improving Data Fusion for Fake News Detection: A Hybrid Fusion Approach for Unimodal and Multimodal Data
Suhaib Kh. Hamed, Mohd Juzaiddin Ab Aziz, Mohd Ridzwan Yaakub
IEEE Access (2024) Vol. 12, pp. 112412-112425
Open Access | Times Cited: 3
Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework
Ajay Kumar, James W. Taylor
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 401-413
Closed Access | Times Cited: 8
A Random Focusing Method with Jensen–Shannon Divergence for Improving Deep Neural Network Performance Ensuring Architecture Consistency
Wonjik Kim
Neural Processing Letters (2024) Vol. 56, Iss. 4
Open Access | Times Cited: 2
Multi‐Pop: Enhancing user engagement with content‐based multimodal popularity prediction in social media
J.W. Kim, Hyeongjin Ahn, Eunil Park
Expert Systems (2024) Vol. 41, Iss. 12
Closed Access | Times Cited: 2
A novel evolutionary approach-based multimodal model to detect fake news in OSNs using text and metadata
Santosh Kumar Uppada, B Ashwin, B. Sivaselvan
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 1522-1553
Closed Access | Times Cited: 4
A Deep Learning Multimodal Framework for Fake News Detection
Shweta Kumari, Maheshwari Prasad Singh
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 16527-16533
Open Access | Times Cited: 1
A System to Ensure Information Trustworthiness in Artificial Intelligence Enhanced Higher Education
Umair Ali Khan, Janne Kauttonen, Lili Aunimo, et al.
Journal of Information Technology Education Research (2024) Vol. 23, pp. 013-013
Open Access | Times Cited: 1
Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
Shi Yang, Jinglang Cai, Lei Liao
Journal of Intelligent Information Systems (2024)
Closed Access | Times Cited: 1
A Context-Aware Service Framework for Detecting Fake Images
Muhammad Umair, Paramvir Singh, Athman Bouguettaya
Lecture notes in computer science (2024), pp. 296-311
Closed Access | Times Cited: 1
Explainable Multimodal Fake Posts Detection Using Feature Extraction with Attention Mechanisms
Tomoaki Ohkawa, Hiroshi Yoshiura, Takayasu Yamaguchi
(2023), pp. 555-563
Closed Access | Times Cited: 2
A Hierarchical Framework for Fake News Detection Using Semantic Analysis and Source Reliability
Sanjaikanth E Vadakkethil Somanathan Pillai, S. R. Ashokkumar
(2024), pp. 910-915
Closed Access
Exploring Multimodal Sentiment Analysis Models: A Comprehensive Survey
Phuong Q. Dao, Thien B. Nguyen-Tat, Mark Roantree, et al.
(2024), pp. 1-7
Closed Access
Detecting Image-Based Fake News with Neural Sleuths
Nachiket A Rathod, P. L. Ramteke
Communications in computer and information science (2024), pp. 201-211
Closed Access
Page 1 - Next Page

Scroll to top