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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:

Mapping microarray gene expression data into dissimilarity spaces for tumor classification
Vicente García, J. Salvador Sánchez
Information Sciences (2014) Vol. 294, pp. 362-375
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Grid Search-Based Hyperparameter Tuning and Classification of Microarray Cancer Data
B. H. Shekar, Guesh Dagnew
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP) (2019), pp. 1-8
Closed Access | Times Cited: 195
A Nested Genetic Algorithm for feature selection in high-dimensional cancer Microarray datasets
Sabah Sayed, Mohammad Nassef, Amr Badr, et al.
Expert Systems with Applications (2018) Vol. 121, pp. 233-243
Closed Access | Times Cited: 194
Deep learning approach for microarray cancer data classification
Hema Shekar Basavegowda, Guesh Dagnew
CAAI Transactions on Intelligence Technology (2019) Vol. 5, Iss. 1, pp. 22-33
Closed Access | Times Cited: 173
Multiomic analysis of cytokines in immuno-oncology
Vladimir Jurišić
Expert Review of Proteomics (2020) Vol. 17, Iss. 9, pp. 663-674
Closed Access | Times Cited: 133
Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions
Nivedhitha Mahendran, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 72
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 novel approach for dimension reduction of microarray
Rabia Musheer Aziz, Chandan Kumar Verma, Namita Srivastava
Computational Biology and Chemistry (2017) Vol. 71, pp. 161-169
Closed Access | Times Cited: 77
C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods
Aman Sharma, Rinkle Rani
Computer Methods and Programs in Biomedicine (2019) Vol. 178, pp. 219-235
Closed Access | Times Cited: 73
An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
Junghye Lee, In Young Choi, Chi‐Hyuck Jun
Expert Systems with Applications (2020) Vol. 166, pp. 113971-113971
Open Access | Times Cited: 61
Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach
Xiaohui Yang, Xiaoying Jiang, Chenxi Tian, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105768-105768
Closed Access | Times Cited: 39
A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data
Zhen Liu, Deyu Tang, Yongming Cai, et al.
Neurocomputing (2017) Vol. 266, pp. 641-650
Closed Access | Times Cited: 47
RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure
Pradipta Maji, Ekta Shah, Sushmita Paul
Information Sciences (2016) Vol. 384, pp. 110-125
Closed Access | Times Cited: 27
An ensemble framework for microarray data classification based on feature subspace partitioning
Vahid Nosrati, Mohsen Rahmani
Computers in Biology and Medicine (2022) Vol. 148, pp. 105820-105820
Closed Access | Times Cited: 14
Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering
Pratik Dutta, Sriparna Saha
Computers in Biology and Medicine (2017) Vol. 89, pp. 31-43
Closed Access | Times Cited: 24
An integrated inverse space sparse representation framework for tumor classification
Xiaohui Yang, Wenming Wu, Yunmei Chen, et al.
Pattern Recognition (2019) Vol. 93, pp. 293-311
Open Access | Times Cited: 17
Label consistency-based deep semisupervised NMF for tumor recognition
Lijun Yang, Lulu Yan, Xiaoge Wei, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105511-105511
Closed Access | Times Cited: 9
Inferring gene regulatory networks with hybrid of multi-agent genetic algorithm and random forests based on fuzzy cognitive maps
Luowen Liu, Jing Liu
Applied Soft Computing (2018) Vol. 69, pp. 585-598
Closed Access | Times Cited: 13
Probabilistic Principal Component Analysis (PPCA) Based Dimensionality Reduction and Deep Learning for Cancer Classification
D. Menaga, S. Revathi
Advances in intelligent systems and computing (2020), pp. 353-368
Closed Access | Times Cited: 12
Collaboration graph for feature set partitioning in data classification
Khalil Taheri, Hadi Moradi, Mostafa Tavassolipour
Expert Systems with Applications (2022) Vol. 213, pp. 118988-118988
Closed Access | Times Cited: 7
Fusion of stability and multi-objective optimization for solving cancer tissue classification problem
Sayantan Mitra, Sriparna Saha, Sudipta Acharya
Expert Systems with Applications (2018) Vol. 113, pp. 377-396
Closed Access | Times Cited: 11
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory
L. Cleofas-Sánchez, J. Salvador Sánchez, Vicente García
Progress in Artificial Intelligence (2018) Vol. 8, Iss. 1, pp. 63-71
Open Access | Times Cited: 10
An Insight on the ‘Large G, Small n’ Problem in Gene-Expression Microarray Classification
Vicente García, J. Salvador Sánchez, L. Cleofas-Sánchez, et al.
Lecture notes in computer science (2017), pp. 483-490
Closed Access | Times Cited: 9
Classification of Microarray Data
Noelia Sánchez‐Maroño, Óscar Fontenla-Romero, Beatriz Pérez‐Sánchez
Methods in molecular biology (2019), pp. 185-205
Closed Access | Times Cited: 8
Developing Gene Classifier System for Autism Recognition
Tomasz Latkowski, S. Osowski
Lecture notes in computer science (2015), pp. 3-14
Closed Access | Times Cited: 5
A hybrid feature selection algorithm for microarray data
Yuefeng Zheng, Ying Li, Gang Wang, et al.
The Journal of Supercomputing (2018) Vol. 76, Iss. 5, pp. 3494-3526
Closed Access | Times Cited: 3
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