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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:

Identification of Multi-Functional Enzyme with Multi-Label Classifier
Yuxin Che, Ying Ju, Ping Xuan, et al.
PLoS ONE (2016) Vol. 11, Iss. 4, pp. e0153503-e0153503
Open Access | Times Cited: 24

Showing 24 citing articles:

ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
Alperen Dalkıran, Ahmet Süreyya Rifaioğlu, María Martin, et al.
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 132
mlDEEPre: Multi-Functional Enzyme Function Prediction With Hierarchical Multi-Label Deep Learning
Zhenzhen Zou, Shuye Tian, Xin Gao, et al.
Frontiers in Genetics (2019) Vol. 9
Open Access | Times Cited: 111
PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes
Lei Chen, Chenyu Zhang, Jing Xu
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 10
iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition
Muhammad Tahir, Maqsood Hayat, Sher Afzal Khan
Molecular Genetics and Genomics (2018) Vol. 294, Iss. 1, pp. 199-210
Closed Access | Times Cited: 66
Machine learning differentiates enzymatic and non-enzymatic metals in proteins
Ryan Feehan, Meghan W. Franklin, Joanna S.G. Slusky
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 47
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition
Muhammad Tahir, Maqsood Hayat, Muhammad Kabir
Computer Methods and Programs in Biomedicine (2017) Vol. 146, pp. 69-75
Closed Access | Times Cited: 55
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
Francisco Charte, Antonio J. Rivera, María José del Jesús, et al.
Neurocomputing (2017) Vol. 326-327, pp. 110-122
Open Access | Times Cited: 41
Machine learning discovery of missing links that mediate alternative branches to plant alkaloids
Christopher J. Vavricka, Shunsuke Takahashi, Naoki Watanabe, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 20
Machine learning based identification of protein–protein interactions using derived features of physiochemical properties and evolutionary profiles
Muhammad Tahir, Maqsood Hayat
Artificial Intelligence in Medicine (2017) Vol. 78, pp. 61-71
Closed Access | Times Cited: 36
OUP accepted manuscript
Ryan Feehan, Daniel Montezano, Joanna S.G. Slusky
Protein Engineering Design and Selection (2021)
Open Access | Times Cited: 24
Alignment-Free Method to Predict Enzyme Classes and Subclasses
Riccardo Concu, M. Natália D. S. Cordeiro
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 21, pp. 5389-5389
Open Access | Times Cited: 25
The Classification of Enzymes by Deep Learning
Zhiyu Tao, Benzhi Dong, Zhixia Teng, et al.
IEEE Access (2020) Vol. 8, pp. 89802-89811
Open Access | Times Cited: 23
Prediction of Chronic Diseases With Multi-Label Neural Network
Ruiquan Ge, Renfeng Zhang, Pu Wang
IEEE Access (2020) Vol. 8, pp. 138210-138216
Open Access | Times Cited: 21
Exploration and Evaluation of Machine Learning-Based Models for Predicting Enzymatic Reactions
Naoki Watanabe, Masahiro Murata, Teppei Ogawa, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 3, pp. 1833-1843
Closed Access | Times Cited: 20
Bio2Rxn: sequence-based enzymatic reaction predictions by a consensus strategy
Tong Zhang, Yu Tian, Le Yuan, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3600-3601
Open Access | Times Cited: 17
Enzyme Substrate Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves
Dmitrij Rappoport, Adrián Jinich
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1637-1648
Open Access | Times Cited: 5
A hierarchical deep learning based approach for multi‐functional enzyme classification
Kinaan Aamir Khan, Safyan Aman Memon, Hammad Naveed
Protein Science (2021) Vol. 30, Iss. 9, pp. 1935-1945
Open Access | Times Cited: 12
Antibody Class(es) Predictor for Epitopes (AbCPE): A Multi-Label Classification Algorithm
Kiran Kadam, Noor Peerzada, Rajiv Karbhal, et al.
Frontiers in Bioinformatics (2021) Vol. 1
Open Access | Times Cited: 10
Prediction of oxidoreductase subfamily classes based on RFE-SND-CC-PSSM and machine learning methods
Fang Yuan, Gan Liu, Xiwen Yang, et al.
Journal of Bioinformatics and Computational Biology (2019) Vol. 17, Iss. 04, pp. 1950029-1950029
Closed Access | Times Cited: 5
MF-EFP: Predicting Multi-Functional Enzymes Function Using Improved Hybrid Multi-Label Classifier
Xuan Xiao, Li-Wen Duan, Guangfu Xue, et al.
IEEE Access (2020) Vol. 8, pp. 50276-50284
Open Access | Times Cited: 5
Protein Function Prediction from Three-Dimensional Feature Representations Using Space-Filling Curves
Dmitrij Rappoport, Adrián Jinich
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Fuzzy Decision Making Approach to Identify Optimum Enzyme Targets and Drug Dosage for Remedying Presynaptic Dopamine Deficiency
Kai-Cheng Hsu, Feng‐Sheng Wang
PLoS ONE (2016) Vol. 11, Iss. 10, pp. e0164589-e0164589
Open Access | Times Cited: 1
Machine Learning Differentiates Enzymatic and Non-Enzymatic Metals in Proteins
Ryan Feehan, Meghan W. Franklin, Joanna S.G. Slusky
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Derin Öğrenme Teknikleri Kullanarak İkili ve Çok Etiketli Sınıflandırma İle Enzimatik Fonksiyon Tahmini
Münevver Baran, Mustafa Öztürk, Fatma Lati̇foğlu
European Journal of Science and Technology (2022)
Open Access
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