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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:

Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis
Gunasekaran Manogaran, P. Mohamed Shakeel, Azza S. Hassanein, et al.
IEEE Access (2018) Vol. 7, pp. 12-19
Open Access | Times Cited: 109

Showing 26-50 of 109 citing articles:

Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
RETRACTED ARTICLE: Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic
Priyan Malarvizhi Kumar, Gokulnath Chandra Babu, Anandamurugan Selvaraj, et al.
Soft Computing (2021) Vol. 25, Iss. 18, pp. 12059-12074
Closed Access | Times Cited: 15
Nanoarchitectonics of Hydroxyapatite/Molybdenum Trioxide/Graphene Oxide Composite for Efficient Antibacterial Activity
Mehrez E. El‐Naggar, Ola A. Abu Ali, Dalia I. Saleh, et al.
Journal of Inorganic and Organometallic Polymers and Materials (2021) Vol. 32, Iss. 2, pp. 399-411
Closed Access | Times Cited: 15
A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions
Thulitha Senevirathna, Vinh Hoa La, Samuel Marchal, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 10
Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification
P. Rama Krishna, V. V. K. D. V. Prasad, B. T. Krishna
Multimedia Tools and Applications (2022) Vol. 82, Iss. 11, pp. 16691-16716
Closed Access | Times Cited: 10
INCNet: Brain Tumor Detection using Inception and Optimization Techniques
Sreedhar Kollem, LMI Leo Joseph, Usha Desai, et al.
(2022), pp. 71-75
Closed Access | Times Cited: 10
A Robust User Sentiment Biterm Topic Mixture Model Based on User Aggregation Strategy to Avoid Data Sparsity for Short Text
K. Nimala, R. Jebakumar
Journal of Medical Systems (2019) Vol. 43, Iss. 4
Closed Access | Times Cited: 17
High-performance compression-based brain tumor detection using lightweight optimal deep neural network
B.P. Santosh Kumar, Shafiulla Basha Shaik, Harikrishna Mulam
Advances in Engineering Software (2022) Vol. 173, pp. 103248-103248
Closed Access | Times Cited: 9
An intelligent brain tumor segmentation using improved Deep Learning Model Based on Cascade Regression method
Deepak V.K, R. Sarath
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20059-20078
Closed Access | Times Cited: 9
Current challenges of the state-of-the-art of AI techniques for diagnosing brain tumor
Hamdino M. I. Ahmed, Dada MO, Bahago B. Samaila
Material Science & Engineering International Journal (2023) Vol. 7, Iss. 4, pp. 196-208
Open Access | Times Cited: 5
Feasibility study on machine‐learning‐based hybrid renewable energy applications for engineering education
C. Shilaja
Computer Applications in Engineering Education (2020) Vol. 29, Iss. 2, pp. 465-473
Closed Access | Times Cited: 13
L1 norm based pedestrian detection using video analytics technique
Anandamurugan Selvaraj, S. Jeeva, Sivabalakrishnan Maruthaiappan, et al.
Computational Intelligence (2020) Vol. 36, Iss. 4, pp. 1569-1579
Closed Access | Times Cited: 12
The Performance of Brain Tumor Diagnosis Based on Machine Learning Techniques Evaluation - A Systematic Review
Mohammad Omid Khairandish, Meenakshi Sharma, Kusrini Kusrini
(2020), pp. 115-119
Closed Access | Times Cited: 12
Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks
Sandra Ortega‐Martorell, Iván Olier, Orlando J. Hernandez, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 4002-4002
Open Access | Times Cited: 4
Brain tumour segmentation of MR images based on custom attention mechanism with transfer‐learning
Marjan Vatanpour, Javad Haddadnia
IET Image Processing (2023) Vol. 18, Iss. 4, pp. 886-896
Open Access | Times Cited: 4
Efficient brain tumour detection system by Cascaded Fully Convolutional Improved DenseNet with Attention-based Adaptive Swin Unet-derived segmentation strategy
A. Vinisha, Ravi Boda
Multimedia Systems (2024) Vol. 30, Iss. 3
Closed Access | Times Cited: 1
An Artificial Neural Network Approach and a Data Augmentation Algorithm to Systematize the Diagnosis of Deep-Vein Thrombosis by Using Wells’ Criteria
María Berenice Fong-Mata, Enrique Efrén García-Guerrero, David A. Mejía, et al.
Electronics (2020) Vol. 9, Iss. 11, pp. 1810-1810
Open Access | Times Cited: 11
A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics
Yongqing Zhang, Lin Meng, Yihan Yang, et al.
Computational Biology and Chemistry (2022) Vol. 98, pp. 107646-107646
Closed Access | Times Cited: 7
Improving the Accuracy of Feature Selection in Big Data Mining Using Accelerated Flower Pollination (AFP) Algorithm
K. Venkatasalam, P. Rajendran, M. Thangavel
Journal of Medical Systems (2019) Vol. 43, Iss. 4
Closed Access | Times Cited: 10
Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model
E. Punarselvam, P. Suresh
Journal of Medical Systems (2019) Vol. 43, Iss. 2
Closed Access | Times Cited: 9
A Survey on Various Machine Learning Techniques for an Efficient Brain Tumor Detection from MRI Images
V. Sanjay, P. Swarnalatha
International Journal of Electrical and Electronics Research (2022) Vol. 10, Iss. 2, pp. 177-182
Open Access | Times Cited: 6
Systematic survey on generative adversarial networks for brain tumor segmentation and classification
Jatinder Kaur, Ashutosh Kumar Singh, Neeru Jindal
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 27
Closed Access | Times Cited: 3
A Brief Review on Brain Tumour Detection and Classifications
K. Sri Sabarimani, R. Arthi
Studies in computational intelligence (2020), pp. 61-72
Closed Access | Times Cited: 8
A Review On The Techniques Of Brain Tumor: Segmentation, Feature Extraction And Classification
G. Yogalakshmi, B. Sheela Rani
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2020), pp. 1-6
Closed Access | Times Cited: 8
Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis
Surbhi Vijh, Hari Mohan Pandey, Prashant Gaurav
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7315-7338
Closed Access | Times Cited: 5

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