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:

Improving protein function prediction using protein sequence and GO-term similarities
Stavros Makrodimitris, Roeland C. H. J. van Ham, Marcel J. T. Reinders
Bioinformatics (2018) Vol. 35, Iss. 7, pp. 1116-1124
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Machine learning techniques for protein function prediction
Rosalin Bonetta, Gianluca Valentino
Proteins Structure Function and Bioinformatics (2019) Vol. 88, Iss. 3, pp. 397-413
Closed Access | Times Cited: 132
A Literature Review of Gene Function Prediction by Modeling Gene Ontology
Yingwen Zhao, Jun Wang, Jian Chen, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 83
On the influence of several factors on pathway enrichment analysis
Sarah Mubeen, Alpha Tom Kodamullil, Martin Hofmann‐Apitius, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 34
A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction
Richa Dhanuka, Jyoti Prakash Singh, Anushree Tripathi
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 3, pp. 2291-2301
Closed Access | Times Cited: 19
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction
Zhourun Wu, Mingyue Guo, Xiaopeng Jin, et al.
Bioinformatics (2023) Vol. 39, Iss. 3
Open Access | Times Cited: 17
Functional effects of protein variants
Mauno Vihinen
Biochimie (2020) Vol. 180, pp. 104-120
Open Access | Times Cited: 46
Automatic Gene Function Prediction in the 2020’s
Stavros Makrodimitris, Roeland C. H. J. van Ham, Marcel J. T. Reinders
Genes (2020) Vol. 11, Iss. 11, pp. 1264-1264
Open Access | Times Cited: 31
DeepAdd: Protein function prediction from k-mer embedding and additional features
Zhihua Du, Yufeng He, Jianqiang Li, et al.
Computational Biology and Chemistry (2020) Vol. 89, pp. 107379-107379
Closed Access | Times Cited: 26
A systematic review of state-of-the-art strategies for machine learning-based protein function prediction
Tianci Yan, Zixuan Yue, Hongquan Xu, et al.
Computers in Biology and Medicine (2022) Vol. 154, pp. 106446-106446
Closed Access | Times Cited: 11
FunPred 3.0: improved protein function prediction using protein interaction network
Sovan Saha, Piyali Chatterjee, Subhadip Basu, et al.
PeerJ (2019) Vol. 7, pp. e6830-e6830
Open Access | Times Cited: 18
Investigation of machine learning techniques on proteomics: A comprehensive survey
Pravinkumar M. Sonsare, C. Gunavathi
Progress in Biophysics and Molecular Biology (2019) Vol. 149, pp. 54-69
Closed Access | Times Cited: 18
PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networks
Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0244430-e0244430
Open Access | Times Cited: 15
Isoform function prediction by Gene Ontology embedding
Sichao Qiu, Guoxian Yu, Xudong Lü, et al.
Bioinformatics (2022) Vol. 38, Iss. 19, pp. 4581-4588
Closed Access | Times Cited: 10
Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field
Jalil Villalobos-Alva, Luis Ochoa-Toledo, Mario Javier Villalobos-Alva, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 9
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation
Ashish Ranjan, David Fernández‐Baca, Sudhakar Tripathi, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2685-2696
Closed Access | Times Cited: 11
A Collection of Benchmark Data Sets for Knowledge Graph-based Similarity in the Biomedical Domain
C. Cardoso, Rita T. Sousa, Sebastian Köhler, et al.
Database (2020) Vol. 2020
Open Access | Times Cited: 10
Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN
Anik Banik, Souvik Podder, Sovan Saha, et al.
Cells (2022) Vol. 11, Iss. 17, pp. 2648-2648
Open Access | Times Cited: 3
SemanticGO: a tool for gene functional similarity analysis in Arabidopsis thaliana and rice
Wei Liu
Plant Science (2020) Vol. 297, pp. 110527-110527
Closed Access | Times Cited: 4
Protein function prediction using functional inter-relationship
Richa Dhanuka, Jyoti Prakash Singh
Computational Biology and Chemistry (2021) Vol. 95, pp. 107593-107593
Closed Access | Times Cited: 4
Generating new protein sequences by using dense network and attention mechanism
Feng Wang, Xiaochen Feng, Ren Kong, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 4178-4197
Open Access | Times Cited: 3
iCEED: Integrated Customized Extraction of Enzyme Data
Rajiv Karbhal, Sangeeta Sawant, Urmila Kulkarni‐Kale
Journal of Bioinformatics and Computational Biology (2024) Vol. 22, Iss. 02
Closed Access
RecGOBD: Accurate Recognition of Gene Ontology Related Brain Development Protein Functions through Multi-Feature Fusion and Attention Mechanisms
Zhiliang Xia, Shiqiang Ma, Jiawei Li, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access
PathMolD-AB: Spatiotemporal pathways of protein folding using parallel molecular dynamics with a coarse-grained model
Leandro Takeshi Hattori, Bruna Araujo Pinheiro, Rafael B. Frigori, et al.
Computational Biology and Chemistry (2020) Vol. 87, pp. 107301-107301
Closed Access | Times Cited: 2
Structural and functional analysis of protein
Neetu Singh Yadav, Pawan Kumar, Indra Singh
Elsevier eBooks (2021), pp. 189-206
Closed Access | Times Cited: 2
A Hybrid Genetic Particle Swarm Optimization Algorithm Based Fusion Protein Functionality Prediction
U. Subhashini, P. Bhargavi, S. Jyothi
Journal of Pharmaceutical Negative Results (2022), pp. 1110-1124
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top