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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:

Dangerousness of dysplastic nevi: a Multiple Instance Learning Solution for Early Diagnosis
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019), pp. 2318-2323
Closed Access | Times Cited: 25

Showing 25 citing articles:

Deep Learning-Based Classification for Melanoma Detection Using XceptionNet
Xinrong Lu, Firoozeh Abolhasani Zadeh
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 58
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19
Guangyu Guo, Zhuoyan Liu, Shijie Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 5, pp. 1347-1357
Open Access | Times Cited: 28
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, et al.
Lecture notes in computer science (2023), pp. 170-182
Closed Access | Times Cited: 6
Comparative Analysis of Melanoma Classification Using Deep Learning Techniques on Dermoscopy Images
J. Jacinth Poornima, J. Anitha, Asha Gnana Priya Henry, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2918-2918
Open Access | Times Cited: 10
The contribution of AI in the detection of the Diabetic Retinopathy
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 1516-1519
Closed Access | Times Cited: 15
Image Classification Techniques
Eugenio Vocaturo
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2020), pp. 22-49
Closed Access | Times Cited: 11
Federated Learning Applications for Breast Cancer
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 3
Artificial Intelligence approaches on Ultrasound for Breast Cancer Diagnosis
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3116-3121
Closed Access | Times Cited: 6
Digital Twins in cancer: State-of-the-art and open research
Kamran Gholizadeh HamlAbadi, Monireh Vahdati, Ali Mohammad Saghiri, et al.
(2021), pp. 199-204
Closed Access | Times Cited: 6
AI for the Detection of the Diabetic Retinopathy
Eugenio Vocaturo, Ester Zumpano
Internet of things (2022), pp. 129-140
Closed Access | Times Cited: 4
Revealing Brain Tumor with Federated Learning
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 2
Lung Cancer Detection via Federated Learning
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 2
Useful Features for Computer-Aided Diagnosis Systems for Melanoma Detection Using Dermoscopic Images
Eugenio Vocaturo, Ester Zumpano
Advances in data mining and database management book series (2020), pp. 48-71
Closed Access | Times Cited: 3
Diabetic Retinopathy Images Classification via Multiple Instance Learning
Eugenio Vocaturo, Ester Zumpano
(2021) Vol. 98, pp. 143-148
Closed Access | Times Cited: 3
Machine Learning Opportunities for Automatic Tongue Diagnosis Systems
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 1498-1502
Closed Access | Times Cited: 2
Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification
Eugenio Vocaturo, Ester Zumpano
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020)
Closed Access | Times Cited: 2
Smart Apps for Risk Assessment of Skin Cancer
Eugenio Vocaturo, Ester Zumpano
(2020), pp. 699-704
Closed Access | Times Cited: 2
No SQL Database Management Systems for Big Data
Luciano Caroprese, Ester Zumpano, Eugenio Vocaturo
International Journal of Engineering and Advanced Technology (2020) Vol. 9, Iss. 5, pp. 21-26
Open Access | Times Cited: 2
ECG Analysis via Machine Learning Techniques: News and Perspectives
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3106-3112
Closed Access | Times Cited: 2
Automatic Detection of Dysplastic Nevi: A Multiple Instance Learning Solution.
Eugenio Vocaturo, Ester Zumpano
SEBD (2020), pp. 250-257
Closed Access | Times Cited: 1
On the Development of a Tool for Tongue Images Analysis
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 2318-2319
Open Access | Times Cited: 1
Useful Features for Computer-Aided Diagnosis Systems for Melanoma Detection Using Dermoscopic Images
Eugenio Vocaturo, Ester Zumpano
IGI Global eBooks (2022), pp. 1334-1357
Closed Access | Times Cited: 1
Analysis and Classification of Skin Cancer Using Deep Learning Approach
Himanshu Chaudhary, Ruchita Gautam, Praveen Kumar, et al.
(2023), pp. 458-463
Closed Access
Supporting the Diagnosis of Dysplastic Nevi Syndrome via Multiple Instance Learning approaches.
Eugenio Vocaturo, Ester Zumpano
(2020), pp. 39-44
Closed Access
A Multiple Instance Learning Approach for the Automatic Classification of Skin Lesions (Discussion Paper).
Eugenio Vocaturo, Ester Zumpano, Giovanni Giallombardo, et al.
SEBD (2021), pp. 395-402
Closed Access
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