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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:

Vision Transformer based Deep Learning Model for Monkeypox Detection
Dipanjali Kundu, Umme Raihan Siddiqi, Md Mahbubur Rahman
(2022), pp. 1021-1026
Closed Access | Times Cited: 19

Showing 19 citing articles:

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Neural Networks (2023) Vol. 167, pp. 342-359
Closed Access | Times Cited: 26
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods
Alireza Farzipour, Roya Elmi, Hamid Nasiri
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2391-2391
Open Access | Times Cited: 23
Blockchain-enabled healthcare monitoring system for early Monkeypox detection
Aditya Gupta, Monu Bhagat, Vibha Jain
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 15675-15699
Open Access | Times Cited: 17
Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection
Neeraj Dahiya, Yogesh Kumar Sharma, Uma Rani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
MRpoxNet: An enhanced deep learning approach for early detection of monkeypox using modified ResNet50
Vandana Bharti, Chetna Kaushal, Mohd Asif Shah
Digital Health (2025) Vol. 11
Open Access
Binarydnet53: a lightweight binarized CNN for monkeypox virus image classification
Debojyoti Biswas, Jelena Tešić
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 7107-7118
Closed Access | Times Cited: 4
Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence
Sagheer Abbas, Fahad Ahmed, Wasim Ahmad Khan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Transfer learning-enabled skin disease classification: the case of monkeypox detection
Rohan Thorat, Aditya Gupta
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82925-82943
Closed Access | Times Cited: 3
Vision transformer and CNN-based skin lesion analysis: classification of monkeypox
Gözde Yolcu
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71909-71923
Open Access | Times Cited: 3
Using novel deep learning models for rapid and efficient assistance in monkeypox screening from skin images
Jie Deng, Jingjie Liu, Chui Kong, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Hydro-Informatic Modeling for Flood Prediction Through Explainable AI to Interpret Water Dynamics in Bangladesh Perspective
Shahariar Hossain Mahir, MD Tanjum An Tashrif, M Hamza, et al.
(2024), pp. 1395-1400
Closed Access | Times Cited: 1
MSMP-Net: A Multi-Scale Neural Network for End-to-End Monkeypox Virus Skin Lesion Classification
Eryang Huan, Hui Dun
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9390-9390
Open Access | Times Cited: 1
Large-Margin Saliency-aware Binarized CNN for Monkeypox Virus Image Classification
Debojyoti Biswas, Jelena Tešić
(2024)
Open Access
Large-Margin Saliency-aware Binarized CNN for Monkeypox Virus Image Classification
Debojyoti Biswas, Jelena Tešić
Research Square (Research Square) (2024)
Open Access
Softflatten-Net: A Deep Convolutional Neural Network Design for Monkeypox Classification from Digital Skin Lesions Images
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma, Abhijit Bhattacharya
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 32566-32576
Closed Access
PoxDetector: A Deep Convolutional Neural Network for Skin Lesion Classification using Android Application
Shashwat Rai, Rakesh Chandra Joshi, Malay Kishore Dutta
(2023), pp. 363-368
Closed Access | Times Cited: 1
Performance Enhancement in Pre-Trained Deep Learning Models for Monkeypox Skin Lesions Identification Using Feature Selection Algorithms
Kien Trang, An Hoang Thuy Nguyen, Nguyen Gia Minh Thao, et al.
(2023), pp. 56-61
Closed Access
An Experimental Analysis to Measure the Impact of Data Size on Accuracy of Deep Learning Model to Detect and Classify Monkey-Pox Using Skin Lesion Images
Gurpreet Kaur, Disha Handa, Vikas Jalodia, et al.
(2023) Vol. 40, pp. 974-979
Closed Access
An Optimized Approach for Monkey-Pox Prediction with Neural Networks
Kalvacherla Kiran, Pallavi Gudimilla, Silumula Ravi, et al.
(2023), pp. 469-473
Closed Access
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