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:

A Review on Automated Cancer Detection in Medical Images using Machine Learning and Deep Learning based Computational Techniques: Challenges and Opportunities
Jatinder Manhas, Rachit Kumar Gupta, Partha Pratim Roy
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 5, pp. 2893-2933
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Deepak Painuli, Suyash Bhardwaj, Utku Köse
Computers in Biology and Medicine (2022) Vol. 146, pp. 105580-105580
Closed Access | Times Cited: 99
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 397-417
Open Access | Times Cited: 41
A systematic review of artificial intelligence techniques for oral cancer detection
C. Kavyashree, H S Vimala, J Shreyas
Healthcare Analytics (2024) Vol. 5, pp. 100304-100304
Open Access | Times Cited: 16
Advanced deep learning algorithms in oral cancer detection: Techniques and applications
Dipali Wankhade, Chitra Dhawale, Mrunal Meshram
Journal of Environmental Science and Health Part C (2025), pp. 1-26
Closed Access | Times Cited: 1
PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection
Zhenghua Xu, Tianrun Li, Yunxin Liu, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 33
Multiround Transfer Learning and Modified Generative Adversarial Network for Lung Cancer Detection
Kwok Tai Chui, Brij B. Gupta, Rutvij H. Jhaveri, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 29
An Extensive Review on Lung Cancer Diagnosis Using Machine Learning Techniques on Radiological Data: State-of-the-art and Perspectives
Syed Naseer Ahmad Shah, Rafat Parveen
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4917-4930
Closed Access | Times Cited: 19
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
An effective approach for early liver disease prediction and sensitivity analysis
Md. Ashikur Rahman Khan, Faria Afrin, Farida Siddiqi Prity, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 277-295
Closed Access | Times Cited: 16
C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset
Ritu Gupta, Shiv Gehlot, Anubha Gupta
Medical Engineering & Physics (2022) Vol. 103, pp. 103793-103793
Closed Access | Times Cited: 23
Polymeric biomaterial-inspired cell surface modulation for the development of novel anticancer therapeutics
Ashok Kumar Jangid, Sung Jun Kim, Kyobum Kim
Biomaterials Research (2023) Vol. 27, Iss. 1
Open Access | Times Cited: 14
HDFCN: A Robust Hybrid Deep Network Based on Feature Concatenation for Cervical Cancer Diagnosis on WSI Pap Smear Slides
Nitin Kumar Chauhan, Krishna P. Singh, Amit Kumar, et al.
BioMed Research International (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 12
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 4
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
A novel end-to-end deep learning approach for cancer detection based on microscopic medical images
Mohamed Hammad, Mohamed Bakrey, Ali Bakhiet, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 737-748
Closed Access | Times Cited: 20
A Systematic Review of Modern Approaches in Healthcare Systems for Lung Cancer Detection and Classification
Sanat Kumar Pandey, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4359-4378
Closed Access | Times Cited: 9
Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review
Sana Nazari, Rafael García
Life (2023) Vol. 13, Iss. 11, pp. 2123-2123
Open Access | Times Cited: 8
A Binary Classifier Using Fully Connected Neural Network for Alzheimer’s Disease Classification
Rukesh Prajapati, Goo‐Rak Kwon
Journal of Multimedia Information System (2022) Vol. 9, Iss. 1, pp. 21-32
Open Access | Times Cited: 13
An optimal model for classification of lung cancer using grey wolf optimizer and deep hybrid learning
Rashmi Mothkur, Veerappa Budhihal Nagendrappa
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 30, Iss. 1, pp. 406-406
Open Access | Times Cited: 7
Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients
Pelin Seher Öztekin, Oğuzhan KATAR, Tülay Omma, et al.
Journal of Ultrasound in Medicine (2024) Vol. 43, Iss. 11, pp. 2051-2068
Open Access | Times Cited: 2
Dense Convolutional Neural Network Based Deep Learning Framework for the Diagnosis of Breast Cancer
Hardeep Kaur
Wireless Personal Communications (2023) Vol. 132, Iss. 3, pp. 1765-1780
Closed Access | Times Cited: 6
Single‐field identification of inclusions and cavities in an elastic medium
Daniel Rabinovich, Dan Givoli, Eli Turkel
International Journal for Numerical Methods in Engineering (2023) Vol. 125, Iss. 1
Open Access | Times Cited: 5
Meticulous Review: Cutting-Edge Cervix Cancer Stratification Using Image Processing And Machine Learning
Barkha Bhavsar, Bela Shrimali
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1343-1358
Open 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
A systematic review on deep learning based methods for cervical cell image analysis
Ming Fang, Bo Liao, Xiujuan Lei, et al.
Neurocomputing (2024), pp. 128630-128630
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top