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:

Effective Techniques for Multimodal Data Fusion: A Comparative Analysis
Maciej Pawłowski, Anna Wróblewska, Sylwia Sysko-Romańczuk
Sensors (2023) Vol. 23, Iss. 5, pp. 2381-2381
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications
David Restrepo, Chenwei Wu, Sebastián Andrés Cajas, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 16

A Comparative Analysis of Early and Late Fusion for the Multimodal Two-Class Problem
Luis Manuel Pereira, Addisson Salazar, Luis Vergara
IEEE Access (2023) Vol. 11, pp. 84283-84300
Open Access | Times Cited: 21

A Comprehensive Survey on Deep Learning Multi-Modal Fusion: Methods, Technologies and Applications
Tianzhe Jiao, Chaopeng Guo, Xiaoyue Feng, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1-35
Open Access | Times Cited: 5

Advancements in AI-Driven detection and localisation of solar panel defects
Ali Ghahremani, Scott D. Adams, Michael Norton, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103104-103104
Closed Access

Review of Multimodal Data Fusion in Machine Learning
Leena Arya, Yogesh Kumar Sharma, Smitha, et al.
(2025), pp. 205-226
Closed Access

Exploiting diffusion-based structured learning for item interactions representations in multimodal recommender systems
Nikhat Khan, Dilip Singh Sisodia
Information Processing & Management (2025) Vol. 62, Iss. 3, pp. 104075-104075
Closed Access

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

Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing
Diego R. Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa
Sensors (2025) Vol. 25, Iss. 4, pp. 1161-1161
Open Access

Digital twin systems for musculoskeletal applications: A current concepts review
Pedro Diniz, Bernd Grimm, Fernando García, et al.
Knee Surgery Sports Traumatology Arthroscopy (2025)
Closed Access

Sentiment analysis applications using deep learning advancements in social networks: A systematic review
Erfan Bakhtiari Ramezani
Neurocomputing (2025), pp. 129862-129862
Closed Access

Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network
Bo Xu, Huipeng Li, Ruchun Ding, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks
Jiping Dong, Mengmeng Hao, Fangyu Ding, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 3, pp. 63-63
Open Access

A multi-modal deep learning solution for precise pneumonia diagnosis: the PneumoFusion-Net model
Yujie Wang, Can Liu, Yu-Yan Fan, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access

Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data
Yang Yang, Xinbei Wei, Jiang Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3951-3951
Open Access | Times Cited: 8

Fusion of Multimodal Imaging and 3D Digitization Using Photogrammetry
Roland Ramm, Pedro de Dios Cruz, Stefan Heist, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2290-2290
Open Access | Times Cited: 2

SIM-CNN: Self-Supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals
Sunmin Eom, Sunwoo Eom, Peter Washington
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

Applying Multimodal Data Fusion based on Deep Learning Methods for the Diagnoses of Neglected Tropical Diseases: A Systematic Review
Yohannes Minyilu, Mohammed Abebe, Million Meshesha
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition
Nikolaos Tsinganos, Panagiotis Fouliras, Ioannis Mavridis, et al.
IEEE Access (2024) Vol. 12, pp. 16072-16088
Open Access | Times Cited: 1

Feature fusion federated learning for privacy-aware indoor localization
Omid Tasbaz, Bahar Farahani, Vahideh Moghtadaiee
Peer-to-Peer Networking and Applications (2024)
Closed Access | Times Cited: 1

Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments
Reenu Mohandas, Patrick G. Mongan, M. Hayes
Sensors (2024) Vol. 24, Iss. 20, pp. 6553-6553
Open Access | Times Cited: 1

SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals
Sunmin Eom, Sunwoo Eom, Peter Washington
Lecture notes in computer science (2023), pp. 155-171
Closed Access | Times Cited: 2

A multimodal and interpretable-based approach for improving melanoma detection using dermoscopy images
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Detection and Metrology of Micro-Nano Particles through the Integration of Image and Laser Modes
Yikun Tao, Hu He
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075003-075003
Open Access

Multimodal Understanding and Personalized Dispatching for Property Service Orders via Pretraining Based Fusion
Jiamu Chen, Chia E. Tungom, Qi Zhang, et al.
(2024), pp. 35-40
Closed Access

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