Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 learning in computational dermatopathology of melanoma: A technical systematic literature review
Daniel Sauter, Georg Lodde, Felix Nensa, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107083-107083
Open Access | Times Cited: 17

Showing 17 citing articles:

Principles, applications, and future of artificial intelligence in dermatology
Jesutofunmi A. Omiye, Haiwen Gui, Roxana Daneshjou, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 20
Gender Disparities in Melanoma: Advances in Diagnosis, Treatment, and the Role of Artificial Intelligence
Diala Ra’Ed Kamal Kakish, Jehad Feras AlSamhori, Lana N. Qaqish, et al.
Dermatological Reviews (2025) Vol. 6, Iss. 1
Open Access
Automated assessment of skin histological tissue structures by artificial intelligence in cutaneous melanoma.
Thamila Kerkour, Loes M. Hollestein, Alex L. Nigg, et al.
Pathology - Research and Practice (2025) Vol. 269, pp. 155923-155923
Open Access
Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images
Tingting Zheng, Weixing Chen, Shuqin Li, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 108, pp. 102275-102275
Closed Access | Times Cited: 7
Integrating Spatial and Morphological Characteristics into Melanoma Prognosis: A Computational Approach
Chang Bian, Garry Ashton, Megan Grant, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2026-2026
Open Access | Times Cited: 2
A survey of recent advances in analysis of skin images
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 4155-4178
Closed Access | Times Cited: 2
Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis
Qianwei Liu, Jie Zhang, Yanping Bai
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, et al.
Artificial Intelligence in Medicine (2023) Vol. 145, pp. 102686-102686
Closed Access | Times Cited: 6
Artificial intelligence in dermatopathology: Updates, strengths, and challenges
Gerardo Cazzato, Franco Rongioletti
Clinics in Dermatology (2024) Vol. 42, Iss. 5, pp. 437-442
Open Access | Times Cited: 2
Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners
Ariel Greenberg, Benzion Samueli, Shai Farkash, et al.
Diagnostic Pathology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence in Cutaneous Lesions: Where do we Stand and What is Next?
Mara Giavina‐Bianchi, Justin Ko, Mara Giavina, et al.
Frontiers research topics (2024)
Open Access | Times Cited: 1
Emerging Applications of Artificial Intelligence in Dermatopathology
Mary Patricia Smith, Joshua M. Schulman
Current Dermatology Reports (2024) Vol. 13, Iss. 3, pp. 133-140
Closed Access | Times Cited: 1
A multimodal and interpretable-based approach for improving melanoma detection using dermoscopy images
Vanesa Gómez-Martínez, David Chushig-Muzo, Marit B. Veierød, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Multiple instance learning for medical image classification based on instance importance
Łukasz Struski, Szymon Janusz, Jacek Tabor, et al.
Biomedical Signal Processing and Control (2023) Vol. 91, pp. 105874-105874
Closed Access | Times Cited: 2
Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis
A.L. Rooijen van, Karin Verspoor, T.B. Kirk, et al.
Lecture notes in computer science (2024), pp. 241-254
Closed Access
Innovating Skin Cancer Detection with Transfer Learning, Feature Fusion, Efficient Data Management, Data Augmentation and Interdisciplinary Expertise for Better Outcomes
Mirac Turanli, MUSA CIM
(2023)
Open Access
A Systematic Comparison of Task Adaptation Techniques for Digital Histopathology
Daniel Sauter, Georg Lodde, Felix Nensa, et al.
Bioengineering (2023) Vol. 11, Iss. 1, pp. 19-19
Open Access
Page 1

Scroll to top