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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:

Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach
Rimsha Asad, Saif Ur Rehman, Azhar Imran, et al.
Biomedicines (2023) Vol. 11, Iss. 1, pp. 184-184
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 145
A robust MRI-based brain tumor classification via a hybrid deep learning technique
Shaimaa E. Nassar, Ibrahim Yasser, Hanan M. Amer, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2403-2427
Open Access | Times Cited: 45
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Sarfaraz Natha, Umm e Laila, Ibrahim Ahmed Gashim, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2210-2210
Open Access | Times Cited: 7
ContourTL-Net: Contour-Based Transfer Learning Algorithm for Early-Stage Brain Tumor Detection
N. I. Md. Ashafuddula, Rafiqul Islam
International Journal of Biomedical Imaging (2024) Vol. 2024, pp. 1-20
Open Access | Times Cited: 4
Optimized brain tumor identification via graph sample and aggregate-attention network with Artificial Lizard Search Algorithm
Chitti R. Moorthy, J. C. Sekhar, Sibghatullah I. Khan, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112362-112362
Closed Access | Times Cited: 4
Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access
A systematic review on deep learning implementation in brain tumor segmentation, classification and prediction
Muhammad Adeel Abid, Kashif Munir
Multimedia Tools and Applications (2025)
Closed Access
White Headed Timber Optimization based Deep Learning model for Brain Tumor Prediction
Narayan Bhausaheb Vikhe, Manish Shrivastava
Deleted Journal (2025)
Closed Access
Explainable CNN for brain tumor detection and classification through XAI based key features identification
Shagufta Iftikhar, Nadeem Anjum, Abdul Basit Siddiqui, et al.
Brain Informatics (2025) Vol. 12, Iss. 1
Open Access
Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops
Tariq Ali, Saif Ur Rehman, Shamshair Ali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Precise Identification and Segmentation of Brain Tumour in MR Brain Images Using Salp Swarm Optimized K-Means Clustering Technique
N Mahendran, P. Muthuvel, T. Arunprasath, et al.
(2023), pp. 877-885
Closed Access | Times Cited: 7
Detection and classification on MRI images of brain tumor using YOLO NAS deep learning model
Mukherjee Mithun, S. Joseph Jawhar
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101113-101113
Open Access | Times Cited: 2
Compressive Sensing of Medical Images Based on HSV Color Space
Gandeva Bayu Satrya, I Nyoman Apraz Ramatryana, Soo Young Shin
Sensors (2023) Vol. 23, Iss. 5, pp. 2616-2616
Open Access | Times Cited: 5
A Hybrid Framework of Deep Learning Techniques to Predict Online Performance of Learners during COVID-19 Pandemic
Saud Altaf, Rimsha Asad, Shafiq Ahmad, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11731-11731
Open Access | Times Cited: 4
Brain Tumor Detection Using Deep Learning Model
Joel Menachery, Ishan Kumar Anand, Michael Moses Thiruthuvanathan
(2023), pp. 1-6
Closed Access | Times Cited: 4
Automated Neurological Brain Disease Detection in Magnetic Resonance Imaging Using Deep Learning Approaches
S. Thilagavathi, Dhanya Sridhar, Jawahar Sundaram
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 150-178
Closed Access | Times Cited: 1
Melanoma detection using Egret search golden optimization – Deep convolutional neural network model
Sania Fatima, Shameem Akther
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106653-106653
Closed Access | Times Cited: 1
Machine and Deep Learning Approaches For Brain Tumor Identification: Technologies, Applications, and Future Directions
Vikram Verma, Alankrita Aggarwal, Tajinder Kumar
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2023), pp. 392-399
Closed Access | Times Cited: 3
Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques
Tawfeeq Shawly, Ahmed A. Alsheikhy
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 425-443
Open Access | Times Cited: 2
Comparative Analysis of Deep Learning and Machine Learning for Detection and Classification of Brain Tumors at Multiple Stages
Balakrishnan Ramprakash, S. Santhana Hari, Deepika Kumar, et al.
(2024), pp. 1-6
Closed Access
Advanced YOLO-NAS-Based Detection and Screening of Brain Tumors Using Medical Diagnostic
Tanvir Kaur, Shivani Kamboj, Lovedeep Singh, et al.
(2024), pp. 1-6
Closed Access
Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach
Lintao Song, Jianqiang Li, Xiaoling Liu, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 2147-2152
Closed Access
COMPUTER-AIDED DETECTION OF BRAIN TUMORS USING IMAGE PROCESSING TECHNIQUES
Hilal Güven, Ahmet Saygılı
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 27, Iss. 3, pp. 999-1018
Open Access
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