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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:

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges
Muhammad Waqas Nadeem, Mohammed A. Al Ghamdi, Muzammil Hussain, et al.
Brain Sciences (2020) Vol. 10, Iss. 2, pp. 118-118
Open Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
Muhammad Saleem, Sagheer Abbas, Taher M. Ghazal, et al.
Egyptian Informatics Journal (2022) Vol. 23, Iss. 3, pp. 417-426
Open Access | Times Cited: 246
Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques
Naeem Ali, Taher M. Ghazal, Alia Ahmed, et al.
Intelligent Automation & Soft Computing (2021) Vol. 31, Iss. 3, pp. 1671-1687
Open Access | Times Cited: 241
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review
Maria Nazir, Sadia Shakil, Khurram Khurshid
Computerized Medical Imaging and Graphics (2021) Vol. 91, pp. 101940-101940
Closed Access | Times Cited: 178
Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM
Taher M. Ghazal, Marrium Anam, Mohammad Kamrul Hasan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 191-203
Open Access | Times Cited: 150
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
IEEE Access (2023) Vol. 11, pp. 12870-12886
Open Access | Times Cited: 96
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks
Sarah Zuhair Kurdi, Mohammed Hasan Ali, Mustafa Musa Jaber, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 181-181
Open Access | Times Cited: 78
Design of Split Ring Resonator Graphene Metasurface Sensor for Efficient Detection of Brain Tumor
Osamah Alsalman, Jacob Wekalao, U. Arun Kumar, et al.
Plasmonics (2023) Vol. 19, Iss. 1, pp. 523-532
Closed Access | Times Cited: 70
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection
V. Rajinikanth, Alex Noel Joseph Raj, Palani Thanaraj Krishnan, et al.
Applied Sciences (2020) Vol. 10, Iss. 10, pp. 3429-3429
Open Access | Times Cited: 117
A bird’s-eye view of deep learning in bioimage analysis
Erik Meijering
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2312-2325
Open Access | Times Cited: 115
A Fusion-Based Machine Learning Approach for the Prediction of the Onset of Diabetes
Muhammad Waqas Nadeem, Hock Guan Goh, Vasaki Ponnusamy, et al.
Healthcare (2021) Vol. 9, Iss. 10, pp. 1393-1393
Open Access | Times Cited: 87
Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review
Muzammil Hussain, Waheed Javed, Owais Hakeem, et al.
Sustainability (2021) Vol. 13, Iss. 24, pp. 13646-13646
Open Access | Times Cited: 85
A Comparative Systematic Literature Review on Knee Bone Reports from MRI, X-Rays and CT Scans Using Deep Learning and Machine Learning Methodologies
Hafsa Khalid, Muzammil Hussain, Mohammed A. Al Ghamdi, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 518-518
Open Access | Times Cited: 77
Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions
Muhammad Waqas Nadeem, Hock Guan Goh, Ali Abid, et al.
Diagnostics (2020) Vol. 10, Iss. 10, pp. 781-781
Open Access | Times Cited: 70
Brain tumor image segmentation via asymmetric/symmetric UNet based on two-pathway-residual blocks
Motahareh Aghalari, Ali Aghagolzadeh, Mehdi Ezoji
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102841-102841
Closed Access | Times Cited: 69
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring
Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 68
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 61
A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4871-4896
Closed Access | Times Cited: 59
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm
B. Deepa, M. Murugappan, M. G. Sumithra, et al.
IEEE Access (2021) Vol. 10, pp. 3848-3863
Open Access | Times Cited: 58
Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier
T. Balamurugan, E. Gnanamanoharan
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4739-4753
Closed Access | Times Cited: 49
Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Muhammad Waqas Nadeem, Hock Guan Goh, Muzammil Hussain, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6780-6780
Open Access | Times Cited: 47
Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning
Muhammad Adnan Khan, Sagheer Abbas, Ali Raza, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 5911-5931
Open Access | Times Cited: 41
Evolutionary Model for Brain Cancer-Grading and Classification
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
IEEE Access (2023) Vol. 11, pp. 126182-126194
Open Access | Times Cited: 37
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
U. Raghavendra, Anjan Gudigar, Aritra Paul, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107063-107063
Closed Access | Times Cited: 27
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