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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:

Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 22

Showing 22 citing articles:

Vision-language models for medical report generation and visual question answering: a review
Iryna Hartsock, Ghulam Rasool
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 15
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets
Aakash Tripathi, Asim Waqas, Kavya Venkatesan, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1634-1634
Open Access | Times Cited: 10
Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics
Jihan Wang, Zhengxiang Zhang, Yangyang Wang
Biomolecules (2025) Vol. 15, Iss. 1, pp. 81-81
Open Access | Times Cited: 1
Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions
Tuan D. Pham, Muy‐Teck Teh, Domniki Chatzopoulou, et al.
Current Oncology (2024) Vol. 31, Iss. 9, pp. 5255-5290
Open Access | Times Cited: 7
Raman Spectroscopy and AI Applications in Cancer Grading: An Overview
Pietro Manganelli Conforti, Gianmarco Lazzini, Paolo Russo, et al.
IEEE Access (2024) Vol. 12, pp. 54816-54852
Open Access | Times Cited: 5
Machine learning in ocular oncology and oculoplasty: Transforming diagnosis and treatment
Dipali Vikas Mane, Khuspe Pankaj Ramdas
IP International Journal of Ocular Oncology and Oculoplasty (2025) Vol. 10, Iss. 4, pp. 196-207
Open Access
Contrastive Learning for Omics-guided Whole-slide Visual Embedding Representation
Suwan Yu, Yooeun Kim, Hyun-Seok Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Current status and future prospects of molecular imaging in targeting the tumor immune microenvironment
Xiang Wang, Wen Shen, Lan Yao, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Semantic structure preservation for accurate multi-modal glioma diagnosis
Chaoyu Shi, Xia Zhang, Runzhen Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A performance-driven hybrid text-image classification model for multimodal data
Swati Gupta, Bal Kishan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Recent Advancement in Bioinformatics
Yogesh Kumar Sharma, Leena Arya, Smitha, et al.
(2025), pp. 227-246
Closed Access
A Survey on Multimodal Large Language Models in Radiology for Report Generation and Visual Question Answering
Ziruo Yi, Ting Xiao, Mark V. Albert
Information (2025) Vol. 16, Iss. 2, pp. 136-136
Open Access
CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision‐Language Model
Ruonan Liu, Muhammad Tariq Ayoub, Junaid Abdul Wahid
Expert Systems (2025) Vol. 42, Iss. 5
Closed Access
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Ullah Khan, Nidhal Bouaynaya, Ghulam Rasool
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 752-757
Open Access | Times Cited: 4
Technology for Studying Multi-omics
Truong Pham Thanh, Yen-Vy Nguyen Thi, Dinh‐Toi Chu
(2024), pp. 31-47
Closed Access
Imaging Modalities in Brain Cancer Detection and Diagnosis
Basheer Almuhaya, Bishal Saha, Mahmood A. Bazel, et al.
(2024), pp. 1-6
Closed Access
Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models
Victor Contreras, Michael Schumacher, Davide Calvaresi
Lecture notes in computer science (2024), pp. 155-183
Closed Access
Feature Extraction and Feature Selection Procedures for Medical Image Analysis
Soumya Gupta, S. C. Gupta
Advances in medical technologies and clinical practice book series (2024), pp. 221-280
Closed Access
Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research
K. Dhivya, S. Niresh Kumar, D. Rosy Salomi Victoria, et al.
Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series (2024), pp. 201-232
Closed Access
Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, et al.
(2024)
Open Access
Time Series Forecasting of Air Pollutant PM2.5 Using Transformer Architecture
K. Azhahudurai, V. Veeramanikandan
International Journal of Science and Research (IJSR) (2023) Vol. 12, Iss. 11, pp. 2075-2082
Open Access
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