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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:

Classification of colorectal cancer based on the association of multidimensional and multiresolution features
Matheus Ribeiro, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, et al.
Expert Systems with Applications (2018) Vol. 120, pp. 262-278
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Abdul Majid, Muhammad Attique Khan, Mussarat Yasmin, et al.
Microscopy Research and Technique (2020) Vol. 83, Iss. 5, pp. 562-576
Closed Access | Times Cited: 133
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
Alicja Rączkowska, Marcin Możejko, Joanna Zambonelli, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 104
Colorectal Histology Tumor Detection Using Ensemble Deep Neural Network
Sourodip Ghosh, Ahana Bandyopadhyay, Shreya Sahay, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104202-104202
Closed Access | Times Cited: 89
Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm
Mehmet Emin Salman, Gözde Cakırsoy Çakar, Jahongir Azimjonov, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117148-117148
Closed Access | Times Cited: 65
A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images
Manju Dabass, Sharda Vashisth, Rekha Vig
Computers in Biology and Medicine (2022) Vol. 147, pp. 105680-105680
Closed Access | Times Cited: 41
Diffusion model-based text-guided enhancement network for medical image segmentation
Z.-W. Dong, Genji Yuan, Zhen Hua, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123549-123549
Closed Access | Times Cited: 10
Fractal theory based identification model for surface crack of building structures
Zhiwen Su, Fobao Zhou, Jiaqiao Liang, et al.
Engineering Structures (2024) Vol. 305, pp. 117708-117708
Open Access | Times Cited: 9
Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection
Muhammad Attique Khan, Muhammad Rashid, Muhammad Sharif, et al.
Multimedia Tools and Applications (2019) Vol. 78, Iss. 19, pp. 27743-27770
Closed Access | Times Cited: 61
CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance
Sara P. Oliveira, Pedro C. Neto, João Fraga, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 40
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
Adriano Barbosa Silva, Alessandro S. Martins, Tháına A. A. Tosta, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116456-116456
Closed Access | Times Cited: 24
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 13
A Convolutional Neural Network with Meta-feature Learning for Wireless Capsule Endoscopy Image Classification
Samir Jain, Ayan Seal, Aparajita Ojha
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 4, pp. 475-494
Closed Access | Times Cited: 13
Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM
Subrata Bhattacharjee, Hyeon‐Gyun Park, Cho‐Hee Kim, et al.
Applied Sciences (2019) Vol. 9, Iss. 15, pp. 2969-2969
Open Access | Times Cited: 36
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, et al.
Expert Systems with Applications (2020) Vol. 166, pp. 114103-114103
Open Access | Times Cited: 36
Histological Image Classification using Deep Features and Transfer Learning
Sadiq Alinsaif, Jochen Lang
(2020), pp. 101-108
Closed Access | Times Cited: 29
Classification of breast and colorectal tumors based on percolation of color normalized images
Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Alessandro S. Martins, et al.
Computers & Graphics (2019) Vol. 84, pp. 134-143
Closed Access | Times Cited: 24
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images
Jaqueline Junko Tenguam, Leonardo C. Longo, Guilherme Freire Roberto, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 2
OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification
Adriano Barbosa Silva, Alessandro S. Martins, Tháına A. A. Tosta, et al.
Deleted Journal (2024) Vol. 37, Iss. 4, pp. 1691-1710
Closed Access | Times Cited: 2
Exploring DeepDream and XAI Representations for Classifying Histological Images
João Martinez, Leandro Alves Neves, Leonardo C. Longo, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
Colorectal Cancer Segmentation Algorithm Based on Deep Features from Enhanced CT Images
Shi Qiu, Hongbing Lu, Jun Shu, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 2, pp. 2495-2510
Open Access | Times Cited: 2
Texture features in the Shearlet domain for histopathological image classification
Sadiq Alinsaif, Jochen Lang
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. S14
Open Access | Times Cited: 20
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
Łukasz Rączkowski, Marcin Możejko, Joanna Zambonelli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 17
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images
David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020)
Closed Access | Times Cited: 14
A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures
Steve Tsham Mpinda Ataky, Alessandro L. Koerich
Pattern Recognition (2021) Vol. 123, pp. 108382-108382
Closed Access | Times Cited: 13
An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images
Guilherme Freire Roberto, Leandro Alves Neves, Alessandra Lumini, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
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