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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:

Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Design of stacked ensemble classifier for skin cancer detection
Abhishek Das, Mihir Narayan Mohanty
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 1
Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review
Pamela Hermosilla, Ricardo Soto, Emanuel Vega, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 454-454
Open Access | Times Cited: 7
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder
Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi
Heliyon (2025) Vol. 11, Iss. 2, pp. e42119-e42119
Open Access
Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1132-1132
Open Access
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
An Analysis of the Efficacy of Deep Learning–Based Pectoralis Muscle Segmentation in Chest CT for Sarcopenia Diagnosis
J. Choi, Young Jae Kim, Kwang Gi Kim, et al.
Deleted Journal (2025)
Closed Access
Surgical Site Infections in Colorectal Cancer Surgeries: A Systematic Review and Meta-Analysis of the Impact of Surgical Approach and Associated Risk Factors
Valentin Calu, Catalin Piriianu, Adrian Miron, et al.
Life (2024) Vol. 14, Iss. 7, pp. 850-850
Open Access | Times Cited: 4
Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging
Hari Mohan, Serhii Dashkevych, Joon Yoo
Mathematics (2024) Vol. 12, Iss. 18, pp. 2808-2808
Open Access | Times Cited: 4
Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images
Muhammad Zubair, Muhammad Owais, Tahir Mahmood, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review
C. Jeong, Y. M. Goh, Jungwon Kwak
The Ewha Medical Journal (2024) Vol. 47, Iss. 4
Open Access | Times Cited: 2
Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers
Hari Mohan, Joon Yoo
Mathematics (2023) Vol. 11, Iss. 24, pp. 4937-4937
Open Access | Times Cited: 6
SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images
Salha M. Alzahrani
(2024)
Open Access | Times Cited: 1
MetaHospital: implementing robust data security measures for an AI-driven medical diagnosis system
Hari Mohan, Dana Tsoy, Yevgeniya Daineko
Procedia Computer Science (2024) Vol. 241, pp. 476-481
Open Access | Times Cited: 1
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
Faseela Abdullakutty, Younes Akbari, Somaya Al‐Maadeed, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Revolutionizing Skin Cancer Detection: A Comprehensive Review of Deep Learning Methods
Yashika Goyal, Raj ., Hari Mohan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
An Overview of Artificial Intelligence for Cancer Prognosis and Treatment
Sandeep Mishra, Md. Mustafa Kamal, Kaustubh Kumar Shukla
(2024), pp. 1465-1469
Closed Access | Times Cited: 1
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset
Govind Rajesh Mudavadkar, Mo Deng, Salah Alheejawi, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1746-1746
Open Access | Times Cited: 1
Gastric Cancer Detection with Ensemble Learning on digital pathology: Use Case of Gastric Cancer on GasHisSDB Dataset
Govind Rajesh Mudavadkar, Mo Deng, Salah Alheejawi, et al.
(2024)
Open Access | Times Cited: 1
Cell recognition based on features extracted by AFM and parameter optimization classifiers
Junxi Wang, Fan Yang, Bowei Wang, et al.
Analytical Methods (2024) Vol. 16, Iss. 27, pp. 4626-4635
Closed Access
Analysis of Advanced Deep Learning Techniques for Efficient and Accurate Advertisement Detection in Printed Media
Faeze Zakaryapour Sayyad, Irida Shallari, Seyed Jalaleddin Mousavirad, et al.
(2024)
Closed Access
Performance Analysis and Classification of Lung Cancer types Using Machine learning
M Prakasha Raje Urs, G N K Suresh Babu
(2024), pp. 1-5
Closed Access
RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection
Farida Siddiqi Prity, Ahmed Jabid Hasan, Md Mehedi Hassan Anik, et al.
Human-Centric Intelligent Systems (2024)
Open Access
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks
G S Pradeep Ghantasala, Dilip Kumar, Pellakuri Vidyullatha, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
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