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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:

CSID: A Novel Multimodal Image Fusion Algorithm for Enhanced Clinical Diagnosis
Shah Rukh Muzammil, Sarmad Maqsood, Shahab Haider, et al.
Diagnostics (2020) Vol. 10, Iss. 11, pp. 904-904
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 168
SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
Yun Jiang, Yuan Zhang, Xin Lin, et al.
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 797-797
Open Access | Times Cited: 120
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 101
Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation
Hengxin Liu, Guoqiang Huo, Qiang Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119166-119166
Closed Access | Times Cited: 81
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 73
Pixel-Level Fusion Approach with Vision Transformer for Early Detection of Alzheimer’s Disease
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Electronics (2023) Vol. 12, Iss. 5, pp. 1218-1218
Open Access | Times Cited: 48
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 41
Multi-view classification with convolutional neural networks
Marco Seeland, Patrick Mäder
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0245230-e0245230
Open Access | Times Cited: 99
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7286-7286
Open Access | Times Cited: 78
An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 67
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 65
Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Sensors (2021) Vol. 21, Iss. 11, pp. 3865-3865
Open Access | Times Cited: 62
Brain Tumor Classification Using Hybrid Single Image Super-Resolution Technique With ResNext101_32× 8d and VGG19 Pre-Trained Models
Saeed Mohsen, Anas M. Ali, El‐Sayed M. El‐Rabaie, et al.
IEEE Access (2023) Vol. 11, pp. 55582-55595
Open Access | Times Cited: 31
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang‎, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33
Multi-Modal Semantic Segmentation Model using Encoder Based Link-Net Architecture for BraTS 2020 Challenge
Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan
Procedia Computer Science (2023) Vol. 218, pp. 732-740
Open Access | Times Cited: 18
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 775-794
Open Access | Times Cited: 17
Context aware machine learning techniques for brain tumor classification and detection – A Review
Usman Amjad, Asif Raza, Muhammad Fahad, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41835-e41835
Open Access
Multimodal Metaverse Healthcare: A Collaborative Representation and Adaptive Fusion Approach for Generative AI-Driven Diagnosis
Jianhui Lv, Adam Słowik, Shalli Rani, et al.
Research (2025) Vol. 8
Open Access
Data fusion of Fourier transform infrared spectroscopy and high-performance liquid chromatography for the origin identification of different medicinal rhizomes of genus Atractylodes
Hongfei Wu, Mingjun Wang, Zhiming Zeng, et al.
Microchemical Journal (2025), pp. 113110-113110
Closed Access
Interpreting CNN for Brain Tumor Classification Using XGrad-Cam
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Communications in computer and information science (2025), pp. 282-296
Closed Access
MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation
Nur Suriza Syazwany, Ju-Hyeon Nam, Sang‐Chul Lee
IEEE Access (2021) Vol. 9, pp. 160708-160720
Open Access | Times Cited: 35
MFEFNet: Multi-scale feature enhancement and Fusion Network for polyp segmentation
Yang Xia, Haijiao Yun, Yanjun Liu
Computers in Biology and Medicine (2023) Vol. 157, pp. 106735-106735
Closed Access | Times Cited: 13
Deep learning PET/CT‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer
Xiaolei Zhang, Xianling Dong, M. Iqbal Saripan, et al.
Thoracic Cancer (2023) Vol. 14, Iss. 19, pp. 1802-1811
Open Access | Times Cited: 13
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