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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:

Deep Neural Network-Based Novel Mathematical Model for 3D Brain Tumor Segmentation
Ajay S. Ladkat, Sunil L. Bangare, Vishal Jagota, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning
Sonia Arora, Gouri Sankar Mishra
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Open Access
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Kambham Pratap Joshi, Vishruth B. Gowda, B D Parameshachari, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 29-29
Open Access
Batch Normalization Based Convolutional Neural Network for Segmentation and Classification of Brain Tumor MRI Images
Gouri Bompem, Dhanalakshmi Pandluri
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 39-49
Open Access | Times Cited: 4
Brain Tumor Segmentation and Classification Using Binomial Thresholding-Based Bidirectional-Long-Short Term Memory
J. Shreeharsha
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 149-158
Open Access | Times Cited: 3
Global Self-Attention Module Based Convolutional Neural Network for Brain Tumor Classification
Preeti Sadanand Topannavar, D. M. Yadav, Varsha Bendre
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 647-657
Open Access | Times Cited: 2
Dynamic weighted knowledge distillation for brain tumor segmentation
Dianlong An, Panpan Liu, Feng Yan, et al.
Pattern Recognition (2024) Vol. 155, pp. 110731-110731
Closed Access | Times Cited: 2
FGA-Net: Feature-Gated Attention for Glioma Brain Tumor Segmentation in Volumetric MRI Images
Novsheena Rasool, Javaid Iqbal Bhat, Niyaz Ahmad Wani, et al.
Communications in computer and information science (2024), pp. 66-87
Closed Access | Times Cited: 1
Real-Time Multi-Feature Approximation Model-Based Efficient Brain Tumor Classification Using Deep Learning Convolution Neural Network Model
Amarendra Reddy Panyala, M. Baskar
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3883-3899
Open Access | Times Cited: 4
Internet of Things Based Secured Data Transmission Protocol for Agriculture Application
Pallavi S. Bangare, Kishor Patil
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 2, pp. 419-424
Open Access | Times Cited: 4
Predicting lung cancer risk using explainable artificial intelligence
Shahin Makubhai, Ganesh R. Pathak, Pankaj R. Chandre
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1276-1285
Open Access | Times Cited: 1
NeuroInsight: A Revolutionary Self-Adaptive Framework for Precise Brain Tumor Classification in Medical ImagingUsing Adaptive Deep Learning
Sonia Arora, Gouri Sankar Mishra
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Novel Deep Neural Network for Suspicious Activity Detection and Classification
A. M. Bhugul, Vijay S. Gulhane
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2023)
Closed Access | Times Cited: 3
Crowd-Funding using Blockchain Technology
Shubham Aghav, Shubhangi Panmand, Sakshi Pawar, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 408-414
Open Access | Times Cited: 3
Role of Deep Learning in Mobile Ad-hoc Networks
Vijay U. Rathod, Shyamrao V. Gumaste
International Journal on Recent and Innovation Trends in Computing and Communication (2022) Vol. 10, Iss. 2s, pp. 237-246
Open Access | Times Cited: 5
EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey
Hana Charaabi, Hiba Mzoughi, Ridha Hamdi, et al.
(2023), pp. 171-178
Closed Access | Times Cited: 2
Recursive LSTM for the Classification of Named Entity Recognition for Hindi Language
Rita Shelke, Sandeep Vanjale
Ingénierie des systèmes d information (2022) Vol. 27, Iss. 4, pp. 679-684
Open Access | Times Cited: 3
Deep learning based brain tumor detection using MRI images with transfer learning technique
Akshit Saxena, Jaspreet Singh
AIP conference proceedings (2024) Vol. 3072, pp. 020028-020028
Open Access
Multidimensional Forensic Investigation of Onion Sites Based on Fuzzy Encoded LSTM
Dinesha H.A. Preeti S. Joshi
Deleted Journal (2024) Vol. 20, Iss. 1s, pp. 967-975
Open Access
Discover Image Restoration: Analysis and Novel Architecture Proposal
Poonam Pawar, Bharati Ainapure
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 622-628
Closed Access
A Review on: Identification of Brain Tumor in MRI Images by the Use of SVM and Fuzzy C-Means Combination
Harsh Maru
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 6, pp. 1841-1849
Open Access
A Multimodal Deep Neural Network-based Financial Fraud Detection Model Via Collaborative Awareness of Semantic Analysis and Behavioral Modeling
D.C.W. He
Journal of Circuits Systems and Computers (2024)
Closed Access
Identification of Periocular Biometrics Using Novel Deep Learning Neural Network Approach
Nidhi Gera, P. Gupta
Smart innovation, systems and technologies (2024), pp. 351-361
Closed Access
Revolutionizing MRI-Based Brain Tumor Classification with BrainMRI-NetX for Superior Accuracy and Reliability
Sonia Arora, Gouri Sankar Mishra
Research Square (Research Square) (2024)
Open Access
Ensemble Model for Multiclass Imbalanced Data Using Cluster Computing of Spark
Varsha Sachin Khandekar, Pravin Shrinath
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 1, pp. 161-167
Open Access | Times Cited: 1
An Efficient Quantum Transfer Learning for Cancer Prediction Using Tumour Markers: New Era of Computer in Medical
M. Narendran, Hari Krishnan Andi, Dilip Kumar Sharma, et al.
(2023), pp. 432-437
Closed Access | Times Cited: 1
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