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:

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 824-824
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Challenges in Clinical Diagnosis of Clade I Mpox: Highlighting the Need for Enhanced Diagnostic Approaches
Josephine Bourner, Esteban García, Festus Mbrenga, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

TRANSFER ÖĞRENME KULLANILARAK DERİ LEZYON GÖRÜNTÜLERİNDEN MAYMUN ÇİÇEĞİ HASTALIĞININ TESPİTİ
Hüseyin Fırat, Hüseyin Üzen
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 11, Iss. 22, pp. 148-164
Closed Access | Times Cited: 1

Multi‐model deep learning system for screening human monkeypox using skin images
Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, et al.
Expert Systems (2024) Vol. 41, Iss. 10
Open Access | Times Cited: 1

Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction
Dea Louisa B. Magsino, Russel Lenard O. Mercado, Francesca Nicole F. Rivera, et al.
IFIP advances in information and communication technology (2024), pp. 57-67
Closed Access | Times Cited: 1

Clade Ib: a new emerging threat in the Mpox outbreak
Shriyansh Srivastava, Laxmi Laxmi, K. Aparna Sharma, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1

Atypical clinical features of mpox (monkeypox): a diagnostic challenge - Reply
Elena Lucía Pinto‐Pulido, Miriam Fernández‐Parrado, Francisco José Rodríguez‐Cuadrado
Anais Brasileiros de Dermatologia (2023) Vol. 98, Iss. 5, pp. 734-735
Open Access | Times Cited: 3

Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy
Tae Young Shin, Hyun Ho Han, Hyun‐Seok Min, et al.
Medicina (2023) Vol. 59, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 3

DS-CNN: Deep Convolutional Neural Networks for Facial Emotion Detection in Children with Down Syndrome during Dolphin-Assisted Therapy
Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Erika Yolanda Aguilar del Villar, et al.
Healthcare (2023) Vol. 11, Iss. 16, pp. 2295-2295
Open Access | Times Cited: 2

Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
R.C. Theijeswini, Soumya Basu, Rayapadi G. Swetha, et al.
Health and Technology (2024) Vol. 14, Iss. 2, pp. 251-261
Closed Access

Breaking new ground in cardiovascular heart disease Diagnosis K-RFC: An integrated learning approach with K-means clustering and Random Forest classifier
Ahmed Hamza Osman, Ashraf Osman Ibrahim, Abeer Alsadoon, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 8262-8291
Open Access

A meshwork of artificial intelligence and biology
Aaqib Zahoor, Shamsul Hauq, Umar Bashir, et al.
Elsevier eBooks (2024), pp. 315-333
Closed Access

An Adaptive Convolutional Neural Network-Random Forest Model for Human Monkeypox Detection and Severity Grading
Ankita Suryavanshi, Vinay Kukreja, Deepak Singh Rana, et al.
(2024), pp. 1-6
Closed Access

CEO Gender and Firms Adoption of Artificial Intelligence Technology
Jinwen Yi, Yiwei Wang, Yiduo Liu
Advances in Economics Management and Political Sciences (2024) Vol. 82, Iss. 1, pp. 305-314
Open Access

Enhancing Monkeypox Disease Detection Using Computer Vision-Based Approaches and Deep Learning
Ahmed Imtiaj, Rayan, Sayma Akter Tihany, et al.
Communications in computer and information science (2024), pp. 346-356
Closed Access

Synergistic pairing of synthetic image generation with disease classification modeling permits rapid digital classification tool development
Lao‐Tzu Allan‐Blitz, Sithira Ambepitiya, Janitha Prathapa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

A Novel CNN Model for Monkeypox Classification and Detection
Rahul Singh, Neha Sharma, Deepak Upadhyay, et al.
(2024), pp. 1495-1500
Closed Access

DEEP LEARNING-BASED ADAPTIVE ENSEMBLE LEARNING MODEL FOR CLASSIFICATION OF MONKEYPOX DISEASE
Hüseyin Üzen, Hüseyin Fırat
Konya Journal of Engineering Sciences (2024), pp. 822-837
Open Access

Viruela del mono: visión actual y perspectivas futuras para dermatólogos
Sofía Palma-Peña, Catalina Buchroithner-Haase
Piel (2024) Vol. 40, Iss. 2, pp. 79-87
Closed Access

NUMSnet: Nested-U Multi-Class Segmentation Network for 3D Medical Image Stacks
Sohini Roychowdhury
Information (2023) Vol. 14, Iss. 6, pp. 333-333
Open Access | Times Cited: 1

Efficient Models for Detecting Monkeypox using Skin Lesion Images
Neelam Sunda, Divya Sharma, Sujith Battu, et al.
(2023), pp. 1480-1487
Closed Access

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