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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:

A comprehensive survey on applications of transformers for deep learning tasks
Saidul Islam, Hanae Elmekki, Ahmed Elsebai, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122666-122666
Open Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Pramod Kumar Meher, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2126-2149
Closed Access | Times Cited: 41
An overview of methods and techniques in multimodal data fusion with application to healthcare
Siwar Chaabene, Amal Boudaya, Bassem Bouaziz, et al.
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 2
The Implications of Long-Term Local Climate Change for the Energy Performance of an nZEB Residential Building in Volos, Greece
Antiopi-Malvina Stamatellou, A. M. Stamatelos
Energies (2025) Vol. 18, Iss. 5, pp. 1032-1032
Open Access | Times Cited: 2
Recent advancements and applications of deep learning in heart failure: Α systematic review
Georgios Petmezas, Vasileios E. Papageorgiou, Vasileios Vassilikos, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108557-108557
Closed Access | Times Cited: 13
Dual-aspect attention spatial-spectral transformer and hyperspectral imaging: A novel approach to detecting Aspergillus flavus contamination in peanut kernels
Zhen Guo, Jing Zhang, Haifang Wang, et al.
Postharvest Biology and Technology (2024) Vol. 213, pp. 112960-112960
Closed Access | Times Cited: 8
Modified U-Net with attention gate for enhanced automated brain tumor segmentation
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Knowledge-aware recommendation based on hypergraph representation learning and transformer model optimization
Yuqi Zuo, Yunfeng Zhang, Qiuyue Zhang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access | Times Cited: 1
Trends, Challenges, and Applications of Large Language Models in Healthcare: A Bibliometric and Scoping Review
Vincenza Carchiolo, Michele Malgeri
Future Internet (2025) Vol. 17, Iss. 2, pp. 76-76
Open Access | Times Cited: 1
Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer
Murad Almadani, Mohanad Alkhodari, Samit Kumar Ghosh, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 110002-110002
Closed Access | Times Cited: 1
Enhancing android malware detection explainability through function call graph APIs
Diego Soi, Alessandro Sanna, Davide Maiorca, et al.
Journal of Information Security and Applications (2024) Vol. 80, pp. 103691-103691
Open Access | Times Cited: 6
The Explainability of Transformers: Current Status and Directions
Paolo Fantozzi, Maurizio Naldi
Computers (2024) Vol. 13, Iss. 4, pp. 92-92
Open Access | Times Cited: 6
Pulmonary Nodule Detection, Segmentation and Classification Using Deep Learning: A Comprehensive Literature Review
Ioannis Marinakis, Konstantinos Κarampidis, Giorgos Papadourakis
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 2043-2106
Open Access | Times Cited: 6
PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network
Ruitong Liu, Yanbin Wang, Haitao Xu, et al.
Information Fusion (2024) Vol. 113, pp. 102638-102638
Closed Access | Times Cited: 5
Natural Language Understanding for Navigation of Service Robots in Low-Resource Domains and Languages: Scenarios in Spanish and Nahuatl
Amadeo Hernández, Rosa María Ortega-Mendoza, Esaú Villatoro-Tello, et al.
Mathematics (2024) Vol. 12, Iss. 8, pp. 1136-1136
Open Access | Times Cited: 4
A Deep Learning Model for Predicting the State of Energy in Lithium-Ion Batteries Based on Magnetic Field Effects
Guanqiang Ruan, Zixi Liu, Junfang Cheng, et al.
Energy (2024) Vol. 304, pp. 132161-132161
Closed Access | Times Cited: 4
Antibody design using deep learning: from sequence and structure design to affinity maturation
Sara Joubbi, Alessio Micheli, Paolo Milazzo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
A time-embedded attention-based transformer for crash likelihood prediction at intersections using connected vehicle data
B M Tazbiul Hassan Anik, Zubayer Islam, Mohamed Abdel‐Aty
Transportation Research Part C Emerging Technologies (2024) Vol. 169, pp. 104831-104831
Closed Access | Times Cited: 4
High-resolution Spatiotemporal Prediction of PM2.5 Concentration based on Mobile Monitoring and Deep Learning
Yizhou Wang, Hong-di He, Haichao Huang, et al.
Environmental Pollution (2024), pp. 125342-125342
Closed Access | Times Cited: 4
LiDAR-Simulated Multimodal and Self-Supervised Contrastive Digital Twin Approach for Probabilistic Point Cloud Generation of Rail Fasteners
Shi Qiu, Qasim Zaheer, Syed Muhammad Ahmed Hassan Shah, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access
Data-driven modeling of 600 MW supercritical unit under full operating conditions based on Transformer-XL
Guolian Hou, Tianhao Zhang, Ting Huang
ISA Transactions (2025)
Closed Access
EJRSNet: A joint mechanism network for object detection with efficient receiving and sending of hierarchical feature information
Zhenyi Zhang, Mengdi Zhu, Xiaolong Yang, et al.
Expert Systems with Applications (2025), pp. 126375-126375
Closed Access
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Deep learning-assisted methods for accelerating the intelligent screening of novel 2D materials: New perspectives focusing on data collection and description
Yuandong Lin, Ji Ma, Yong‐Guang Jia, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216436-216436
Closed Access
A systematic review of lightweight transformer models for medical image segmentation
Iis Setiawan Mangkunegara, Martyarini Budi Setyawati, Purwono Purwono, et al.
BIO Web of Conferences (2025) Vol. 152, pp. 01036-01036
Open Access
Revolutionizing Speaker Recognition and Diarization: A Novel Methodology in Speech Analysis
Shiva Shankar Reddy, R. Manjula, Rajashekhar C. Biradar
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
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