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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:

Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features
Rajesh Kumar Dhanaraj, Rajeev Srivastava, Subodh Srivastava
Journal of Medical Engineering (2015) Vol. 2015, pp. 1-14
Open Access | Times Cited: 215

Showing 1-25 of 215 citing articles:

Artificial intelligence and the future of global health
Nina Schwalbe, Brian Wahl
The Lancet (2020) Vol. 395, Iss. 10236, pp. 1579-1586
Open Access | Times Cited: 570
A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
William Wasswa, Andrew Ware, Annabella Habinka Basaza‐Ejiri, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 164, pp. 15-22
Closed Access | Times Cited: 224
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm
Gopal S. Tandel, Antonella Balestrieri, Tanay Jujaray, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103804-103804
Closed Access | Times Cited: 196
Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
Michel E. Vandenberghe, Marietta Scott, Paul W. Scorer, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 183
Cancer diagnosis in histopathological image: CNN based approach
Sumaiya Dabeer, Maha Mohammed Khan, Md Saiful Islam
Informatics in Medicine Unlocked (2019) Vol. 16, pp. 100231-100231
Open Access | Times Cited: 175
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45
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
Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images
Chetna Kaushal, Shiveta Bhat, Deepika Koundal, et al.
IRBM (2019) Vol. 40, Iss. 4, pp. 211-227
Closed Access | Times Cited: 140
Segmentation and Classification of Cervical Cells Using Deep Learning
Kurnianingsih Kurnianingsih, Khalid Allehaibi, Lukito Edi Nugroho, et al.
IEEE Access (2019) Vol. 7, pp. 116925-116941
Open Access | Times Cited: 129
A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images
William Wasswa, Andrew Ware, Annabella Habinka Basaza‐Ejiri, et al.
BioMedical Engineering OnLine (2019) Vol. 18, Iss. 1
Open Access | Times Cited: 89
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Computers in Biology and Medicine (2021) Vol. 135, pp. 104564-104564
Closed Access | Times Cited: 81
Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review
Asha Das, Madhu S. Nair, S. David Peter
Journal of Digital Imaging (2020) Vol. 33, Iss. 5, pp. 1091-1121
Open Access | Times Cited: 78
Classification of cervical cancer using Deep Learning Algorithm
Anurag Tripathi, Aditya Arora, Anupama Bhan
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2021), pp. 1210-1218
Closed Access | Times Cited: 57
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks
R. Karthik, R. Menaka, M. V. Siddharth
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 963-976
Closed Access | Times Cited: 50
A Systematic Literature Review of Breast Cancer Diagnosis Using Machine Intelligence Techniques
Varsha Nemade, Sunil Pathak, Ashutosh Kumar Dubey
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4401-4430
Closed Access | Times Cited: 42
Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset
Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, et al.
Bioinformatics (2022) Vol. 38, Iss. Supplement_1, pp. i92-i100
Open Access | Times Cited: 41
Determine the Degree of Malignancy in Breast Cancer using Machine Learning
Sheshang Degadwala, Dhairya Vyas, Shivam Upadhyay, et al.
(2023), pp. 483-487
Closed Access | Times Cited: 25
Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 3015-3050
Closed Access | Times Cited: 8
Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips
Tabassum Yesmin Rahman, Lipi B. Mahanta, Anup Das, et al.
Tissue and Cell (2019) Vol. 63, pp. 101322-101322
Closed Access | Times Cited: 74
Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm
William Wasswa, Andrew Ware, Annabella Habinka Basaza‐Ejiri, et al.
Informatics in Medicine Unlocked (2019) Vol. 14, pp. 23-33
Open Access | Times Cited: 71
Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network
Hawraa Haj-Hassan, Ahmad Chaddad, Youssef Elfahm, et al.
Journal of Pathology Informatics (2017) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 69
Stark Assessment of Lifestyle Based Human Disorders Using Data Mining Based Learning Techniques
Manik Sharma, Gurvinder Singh, Rohan Bir Singh
IRBM (2017) Vol. 38, Iss. 6, pp. 305-324
Closed Access | Times Cited: 68
Cloud‐based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images
Tanzila Saba, Sana Ullah Khan, Naveed Islam, et al.
Microscopy Research and Technique (2019) Vol. 82, Iss. 6, pp. 775-785
Closed Access | Times Cited: 67
A technique for image splicing detection using hybrid feature set
Ankit Jaiswal, Rajeev Srivastava
Multimedia Tools and Applications (2020) Vol. 79, Iss. 17-18, pp. 11837-11860
Closed Access | Times Cited: 58
Optical spectroscopy for in vivo medical diagnosis—a review of the state of the art and future perspectives
Jang Ah Kim, Dominic J. Wales, Guang‐Zhong Yang
Progress in Biomedical Engineering (2020) Vol. 2, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 49
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