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:

MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features
Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1075-1087
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A deep learning based four-fold approach to classify brain MRI: BTSCNet
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104902-104902
Closed Access | Times Cited: 50

Pre-trained deep learning models for brain MRI image classification
Srigiri Krishnapriya, Yepuganti Karuna
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 42

Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51

HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection
Arpit Kumar Sharma, Amita Nandal, Arvind Dhaka, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104737-104737
Closed Access | Times Cited: 36

Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features
Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 3226-3235
Open Access | Times Cited: 66

Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access

Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

Analyzing Infant Cry to Detect Birth Asphyxia Using a Hybrid CNN and Feature Extraction Approach
Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, et al.
Neuroscience Informatics (2025), pp. 100193-100193
Open Access

XEMLPD: an explainable ensemble machine learning approach for Parkinson disease diagnosis with optimized features
Fahmida Khanom, S. K. Biswas, Mohammad Shorif Uddin, et al.
International Journal of Speech Technology (2024)
Closed Access | Times Cited: 2

COVID-19 Along with Other Chest Infection Diagnoses Using Faster R-CNN and Generative Adversarial Network
Rafid Mostafiz, Mohammad Shorif Uddin, Khandaker Mohammad Mohi Uddin, et al.
ACM Transactions on Spatial Algorithms and Systems (2022) Vol. 8, Iss. 3, pp. 1-21
Closed Access | Times Cited: 11

Detection of Brain Tumor in Medical Images Based on Feature Extraction by HOG and Machine Learning Algorithms
Jayaraj Ramasamy, Ruchi Doshi, Kamal Kant Hiran
(2022), pp. 1-5
Closed Access | Times Cited: 11

Brain Anomaly Prediction with the Intervention of Fuzzy Based Clustering and Optimization Techniques for Augmenting Clinical Diagnosis
Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (2021), pp. 872-877
Closed Access | Times Cited: 15

A Faster RCNN-Based Diabetic Retinopathy Detection Method Using Fused Features From Retina Images
Md. Nur-A-Alam, Mostofa Kamal Nasir, Mominul Ahsan, et al.
IEEE Access (2023) Vol. 11, pp. 124331-124349
Open Access | Times Cited: 5

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images
Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md. Hasan Babu, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7

Brain Tumor Detection Using Deep Learning With Synthetic Data Augmentation
Ponuku Sarah, Adithya Vardhan Anne, Yepuganti Karuna, et al.
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2023), pp. 164-170
Closed Access | Times Cited: 3

Automatic Brain Tumor Detection From MRI Using Curvelet Transform and Neural Features
Rafid Mostafiz, Mohammad Shorif Uddin, Iffat Jabin, et al.
International Journal of Ambient Computing and Intelligence (2022) Vol. 13, Iss. 1, pp. 1-18
Closed Access | Times Cited: 4

MEHW‐SVM multi‐kernel approach for improved brain tumour classification
G. Dheepak, J. Anita Christaline, D. Vaishali
IET Image Processing (2023) Vol. 18, Iss. 4, pp. 856-874
Open Access | Times Cited: 2

Highly accurate brain tumor detection with high sensitivity using transform-based functions and machine learning algorithms
Ashish Bhatt, Vineeta Saxena Nigam
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4239-4256
Open Access

Detection of Brain Tumor using a Feature Optimization using Particle Swarm Optimization and Ensemble Classifier
Ashish Bhatt, Vineeta Saxena Nigam
2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) (2022), pp. 1-5
Closed Access | Times Cited: 3

Brain Cancer Diagnosis Based on Histopathological Images Using Handcrafted Features
Naira Elazab, Wael A. Gab-Allah, Mohammed Elmogy
(2022)
Closed Access | Times Cited: 3

MRI-based brain tumor detection and types of classification using CEHJB-RI and JMST
Uma Shankar Kommanaboina, Sandeep Tummalsugur, Shirisha Kommanaboina, et al.
MATEC Web of Conferences (2024) Vol. 392, pp. 01090-01090
Open Access

Interactive Multi-scale Fusion: Advancing Brain Tumor Detection Through Trans-IMSM Model
Vasanthi Durairaj, Palani Uthirapathy
Deleted Journal (2024)
Closed Access

CLASSIFICATION WITH MACHINE LEARNING METHODS FROM MULTI-SEQUENCE MR IMAGES OF CHILDHOOD POSTERIOR FOSSA TUMORS
Nuray Demiröz, Semra İçer, Zehra Filiz Karaman
Usak University Journal of Engineering Sciences (2024)
Closed Access

Research on Rectal Tumor Identification Method by Convolutional Neural Network Based on Multi-Feature Fusion
Zhuang Liang, Jiansheng Wu
International Journal for Engineering Modelling (2021)
Open Access | Times Cited: 2

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