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:

Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
Serhat Kılıçarslan, Kemal Adem, Mete Çelik
Medical Hypotheses (2020) Vol. 137, pp. 109577-109577
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities
Mohammad Hossein Sadeghi, Sedigheh Sina, Hamid Omidi, et al.
Polish Journal of Radiology (2024) Vol. 89, pp. 30-48
Open Access | Times Cited: 15
A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification
Moumita Mandal, Pawan Kumar Singh, Muhammad Fazal Ijaz, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5571-5571
Open Access | Times Cited: 79
RSigELU: A nonlinear activation function for deep neural networks
Serhat Kılıçarslan, Mete Çelik
Expert Systems with Applications (2021) Vol. 174, pp. 114805-114805
Closed Access | Times Cited: 75
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
Weiqiu Jin, Shuqin Dong, Changzi Dong, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104252-104252
Open Access | Times Cited: 66
Intelligent Pneumonia Identification From Chest X-Rays: A Systematic Literature Review
Wasif Khan, Nazar Zaki, Luqman Ali
IEEE Access (2021) Vol. 9, pp. 51747-51771
Open Access | Times Cited: 57
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
Nashat Alrefai, Othman Ibrahim
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13513-13528
Closed Access | Times Cited: 48
A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
Mahmood Khalsan, Lee R. Machado, Eman S. Al-Shamery, et al.
IEEE Access (2022) Vol. 10, pp. 27522-27534
Open Access | Times Cited: 45
A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases
Şevket Ay, Ekin Ekıncı, Zeynep Garip
The Journal of Supercomputing (2023) Vol. 79, Iss. 11, pp. 11797-11826
Open Access | Times Cited: 38
Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique
Serdar Gündoğdu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34163-34181
Open Access | Times Cited: 32
GeneViT: Gene Vision Transformer with Improved DeepInsight for cancer classification
Madhuri Gokhale, Sraban Kumar Mohanty, Aparajita Ojha
Computers in Biology and Medicine (2023) Vol. 155, pp. 106643-106643
Closed Access | Times Cited: 31
A Novel Proposal for Deep Learning-Based Diabetes Prediction: Converting Clinical Data to Image Data
Muhammet Fatih Aslan, Kadir Sabancı
Diagnostics (2023) Vol. 13, Iss. 4, pp. 796-796
Open Access | Times Cited: 29
Enhancing Feature Selection Through Metaheuristic Hybrid Cuckoo Search and Harris Hawks Optimization for Cancer Classification
Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz, et al.
(2024), pp. 95-134
Closed Access | Times Cited: 13
An Efficient Cancer Classification Model Using Microarray and High-Dimensional Data
Hanaa Fathi, Hussain AlSalman, Abdu Gumaei, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 46
PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection
Serhat Kılıçarslan
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 1, pp. 87-97
Closed Access | Times Cited: 28
Developing deep learning methods for classification of teeth in dental panoramic radiography
Serkan Yılmaz, Murat Taşyürek, Mehmet Amuk, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2023) Vol. 138, Iss. 1, pp. 118-127
Closed Access | Times Cited: 16
A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability
Shigao Huang, İbrahim Arpacı, Mostafa Al‐Emran, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34183-34198
Closed Access | Times Cited: 16
Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data
Serhat Kılıçarslan, Emrah Dönmez
Multimedia Tools and Applications (2023) Vol. 83, Iss. 26, pp. 67259-67281
Closed Access | Times Cited: 12
A Hybrid of an automated multi-filter with a spatial bound particle swarm optimization for Gene selection and cancer classification
Anas Arram, Masri Ayob, Musatafa Abbas Abbood Albadr, et al.
Heliyon (2025), pp. e42544-e42544
Open Access
Manifold learning methods for the diagnosis of ovarian cancer
Bartu Yeşilkaya, Matjaž Perc, Yalçın İşler
Journal of Computational Science (2022) Vol. 63, pp. 101775-101775
Closed Access | Times Cited: 21
A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data
Halah AlMazrua, Hala Alshamlan
IEEE Access (2022) Vol. 10, pp. 71427-71449
Open Access | Times Cited: 19
A hybrid feature selection approach for Microarray datasets using graph theoretic-based method
Hasna Chamlal, Tayeb Ouaderhman, Fatima Ezzahra Rebbah
Information Sciences (2022) Vol. 615, pp. 449-474
Closed Access | Times Cited: 19
An overview of the activation functions used in deep learning algorithms
Serhat Kılıçarslan, Kemal Adem, Mete Çelik
Journal of New Results in Science (2021) Vol. 10, Iss. 3, pp. 75-88
Open Access | Times Cited: 25
The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
Maria Elena Laino, Angela Ammirabile, Alessandro Posa, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1317-1317
Open Access | Times Cited: 24
An Explainable Machine Learning Approach for COVID-19’s Impact on Mood States of Children and Adolescents during the First Lockdown in Greece
Charis Ntakolia, Dimitrios Priftis, Mariana Charakopoulou-Travlou, et al.
Healthcare (2022) Vol. 10, Iss. 1, pp. 149-149
Open Access | Times Cited: 18
A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
Serhat Kılıçarslan, Sabire Kılıçarslan
European Food Research and Technology (2023) Vol. 250, Iss. 1, pp. 135-149
Closed Access | Times Cited: 9
Page 1 - Next Page

Scroll to top