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:

An Enhanced Histopathology Analysis: An AI-Based System for Multiclass Grading of Oral Squamous Cell Carcinoma and Segmenting of Epithelial and Stromal Tissue
Jelena Musulin, Daniel Štifanić, Ana Zulijani, et al.
Cancers (2021) Vol. 13, Iss. 8, pp. 1784-1784
Open Access | Times Cited: 53

Showing 26-50 of 53 citing articles:

Oral Cancer Segmentation and Identification System Based on Histopathological Images using MaskMeanShiftCNN and SV-OnionNet
R. Dharani, K. Danesh
Intelligence-Based Medicine (2024), pp. 100185-100185
Open Access | Times Cited: 1

Assessing Artificial Intelligence in Oral Cancer Diagnosis: A Systematic Review
Vishnu Priya Veeraraghavan, Giuseppe Minervini, Diana Russo, et al.
Journal of Craniofacial Surgery (2024)
Closed Access | Times Cited: 1

Detecting Oral Cancer: The Potential of Artificial Intelligence
Ritu Rai, Rishabh Vats, Ranjana Kumari
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 18, Iss. 9, pp. 919-923
Closed Access | Times Cited: 6

Aquila-particle swarm based cooperative search optimizer with superpixel techniques for epithelial layer segmentation
Buddhadev Sasmal, Arunita Das, Krishna Gopal Dhal, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110947-110947
Closed Access | Times Cited: 3

Automated Grading of Oral Squamous Cell Carcinoma into Multiple Classes Using Deep Learning Methods
Jelena Musulin, Daniel Štifanić, Ana Zulijani, et al.
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (2021), pp. 1-6
Closed Access | Times Cited: 7

Computer Intelligence in Detection of Malignant or Premalignant Oral Lesions: The Story So Far
Astha Singh, Ankita Sahu, Saurabh Verma
Studies in computational intelligence (2022), pp. 187-200
Closed Access | Times Cited: 5

Fuzzy Genetic Particle Swarm Optimization Convolution Neural Network Based On Oral Cancer Identification System
R. Dharani, S. Revathy, K. Danesh
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 150-169
Open Access | Times Cited: 2

Application of deep learning radiomics in oral squamous cell carcinoma–Extracting more information from medical images using advanced feature analysis
Chenxi Li, Xinya Chen, Cheng Chen, et al.
Journal of Stomatology Oral and Maxillofacial Surgery (2024) Vol. 125, Iss. 3, pp. 101840-101840
Closed Access

Diagnostic Performance of ChatGPT-4.0 in Histopathological Description Analysis of Oral and Maxillofacial Lesions: A Comparative Study with Pathologists
Maria Cuevas‐Nunez, Valentina Ignacia Alvarez Silberberg, María Arregui, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024)
Closed Access

Assessment of AlexNet for Oral Epithelial Dysplasia Classification
Viviane Mariano da Silva, Anna Luíza Damaceno Araújo, Felipe Paiva Fonseca, et al.
IFMBE proceedings (2024), pp. 471-480
Closed Access

Material Classification of Underground Objects from GPR Recordings Using Deep Learning Approach
Daniel Štifanić, Jelena Štifanić, Sandi Baressi Šegota, et al.
Lecture notes in networks and systems (2024), pp. 149-158
Closed Access

Deep Learning‐Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis
Zeynab Pirayesh, Hossein Mohammad‐Rahimi, Nikoo Ghasemi, et al.
Journal of Oral Pathology and Medicine (2024) Vol. 53, Iss. 9, pp. 551-566
Closed Access

Precision and speed: The AI revolution in oral squamous cell carcinoma detection
Mikropoulos Ch, Victor Hugo C. de Albuquerque, Vinutha Heggade, et al.
Journal of Oral Medicine Oral Surgery Oral Pathology and Oral Radiology (2024) Vol. 10, Iss. 3, pp. 170-177
Open Access

Application of AI in Histopathological Image Analysis
Jelena Štifanic, Daniel Štifanić, Ana Zulijani, et al.
Lecture notes in networks and systems (2023), pp. 121-131
Closed Access | Times Cited: 1

El papel emergente de la inteligencia artificial en la oncología oral
Dipanshu Aggarwal, Devi Charan Shetty
Acta Bioclínica (2022) Vol. 12, Iss. 24, pp. 70-88
Open Access | Times Cited: 1

Automated diagnosis using artificial intelligence a step forward for preventive dentistry: A systematic review
Radu Chifor, Tudor Arsenescu, Laura Monica Dascalu, et al.
Romanian Journal of Stomatology (2022) Vol. 68, Iss. 3, pp. 106-115
Open Access | Times Cited: 1

Particle swarm optimizer based epithelial layer segmentation in CIElab color space
Swarnajit Ray, Krishna Gopal Dhal, Prabir Kumar Naskar
(2022), pp. 331-336
Closed Access | Times Cited: 1

An Automated Approach for Identification of Oral Squamous Cell Carcinoma based on 2D-ICNN
S. Ramya, R. I. Minu, KT Magesh
(2023), pp. 155-161
Closed Access

Utilization of artificial intelligence-assisted histopathological detection in surveillance of oral squamous cell carcinoma staging: A narrative review
Agung Sosiawan, Ria Chusnita, Putri Alfa Meirani Laksanti, et al.
World Journal of Advanced Research and Reviews (2022) Vol. 16, Iss. 3, pp. 054-059
Open Access

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