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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:

DeepGOPlus: improved protein function prediction from sequence
Maxat Kulmanov, Robert Hoehndorf
Bioinformatics (2019) Vol. 36, Iss. 2, pp. 422-429
Open Access | Times Cited: 342

Showing 1-25 of 342 citing articles:

Metagenomic compendium of 189,680 DNA viruses from the human gut microbiome
Stephen Nayfach, David Paez‐Espino, Lee Call, et al.
Nature Microbiology (2021) Vol. 6, Iss. 7, pp. 960-970
Open Access | Times Cited: 383
Current progress and open challenges for applying deep learning across the biosciences
Nicolae Sapoval, Amirali Aghazadeh, Michael Nute, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 206
Artificial intelligence in cancer target identification and drug discovery
Yujie You, Xin Lai, Yi Pan, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 183
UDSMProt: universal deep sequence models for protein classification
Nils Strodthoff, Patrick Wagner, Markus Wenzel, et al.
Bioinformatics (2020) Vol. 36, Iss. 8, pp. 2401-2409
Open Access | Times Cited: 150
Embeddings from deep learning transfer GO annotations beyond homology
Maria Littmann, Michael Heinzinger, Christian Dallago, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 133
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 57
BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo
Hongliang Li, Bin Liu
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011214-e1011214
Open Access | Times Cited: 53
The Realm of Unconventional Noncovalent Interactions in Proteins: Their Significance in Structure and Function
Vishal Annasaheb Adhav, K. Saikrishnan
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22268-22284
Open Access | Times Cited: 45
Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion
Qianmu Yuan, Junjie Xie, Jiancong Xie, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 41
Functional annotation of enzyme-encoding genes using deep learning with transformer layers
Gi Bae Kim, Ji Yeon Kim, Jong An Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
Diffusion models in bioinformatics and computational biology
Zhiye Guo, Jian Liu, Yanli Wang, et al.
Nature Reviews Bioengineering (2023) Vol. 2, Iss. 2, pp. 136-154
Open Access | Times Cited: 38
Joint Generation of Protein Sequence and Structure with RoseTTAFold Sequence Space Diffusion
Sidney Lyayuga Lisanza, Jake Merle Gershon, S. Tipps, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 36
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding
Lingyan Zheng, Shuiyang Shi, Mingkun Lu, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 32
Deep Learning in Proteomics
Bo Wen, Wen‐Feng Zeng, Yuxing Liao, et al.
PROTEOMICS (2020) Vol. 20, Iss. 21-22
Open Access | Times Cited: 126
Machine learning: A powerful tool for gene function prediction in plants
Elizabeth H. Mahood, Lars Kruse, Gaurav D. Moghe
Applications in Plant Sciences (2020) Vol. 8, Iss. 7
Open Access | Times Cited: 104
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham, et al.
Bioinformatics (2020) Vol. 37, Iss. 2, pp. 162-170
Open Access | Times Cited: 102
TALE: Transformer-based protein function Annotation with joint sequence–Label Embedding
Yue Cao, Yang Shen
Bioinformatics (2021) Vol. 37, Iss. 18, pp. 2825-2833
Open Access | Times Cited: 89
Fonio millet genome unlocks African orphan crop diversity for agriculture in a changing climate
Michaël Abrouk, Hanin Ibrahim Ahmed, Philippe Cubry, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 86
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
Ronghui You, Shuwei Yao, Hiroshi Mamitsuka, et al.
Bioinformatics (2021) Vol. 37, Iss. Supplement_1, pp. i262-i271
Open Access | Times Cited: 84
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information
Shuwei Yao, Ronghui You, Shaojun Wang, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. W1, pp. W469-W475
Open Access | Times Cited: 83
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: 81
Accurate protein function prediction via graph attention networks with predicted structure information
Ben Lai, Jinbo Xu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 73
SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
Yideng Cai, Jiacheng Wang, Lei Deng
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 68
PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods
Weiqi Xia, Lingyan Zheng, Jiebin Fang, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105465-105465
Closed Access | Times Cited: 58
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms
Maxat Kulmanov, Robert Hoehndorf
Bioinformatics (2022) Vol. 38, Iss. Supplement_1, pp. i238-i245
Open Access | Times Cited: 46
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