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:

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

Showing 23 citing articles:

Advancements in enzyme immobilization on magnetic nanomaterials: toward sustainable industrial applications
Antônio Luthierre Gama Cavalcante, Dayana Nascimento Dari, Francisco Izaias da Silva Aires, et al.
RSC Advances (2024) Vol. 14, Iss. 25, pp. 17946-17988
Open Access | Times Cited: 33

Ensemble Learning based Enzyme Family Classification using n-gram Feature
Darshanaben Dipakkumar Pandya, Abhijeetsinh Jadeja, Sheshang Degadwala, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2022), pp. 1386-1392
Closed Access | Times Cited: 19

Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model
Liang Guo, Yuxin Dong, Deyong Zhang, et al.
Bioresources and Bioprocessing (2025) Vol. 12, Iss. 1
Open Access

EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations
Mengmeng Liu, Xialong Ni, J. Ramanujam, et al.
Journal of Chemical Information and Modeling (2025)
Open Access

Laccases: Thriving the domain of bio-electrocatalysis
Bipasa Dey, Tanmay Dutta
Bioelectrochemistry (2022) Vol. 146, pp. 108144-108144
Closed Access | Times Cited: 16

An Alkalothermophilic Amylopullulanase from the Yeast Clavispora lusitaniae ABS7: Purification, Characterization and Potential Application in Laundry Detergent
Scheherazed Dakhmouche Djekrif, Leila Bennamoun, Fatima Zohra Kenza Labbani, et al.
Catalysts (2021) Vol. 11, Iss. 12, pp. 1438-1438
Open Access | Times Cited: 20

GloEC: a hierarchical-aware global model for predicting enzyme function
Huang Yi-ran, Y. Lin, Wei Lan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 2

ABLE: Attention based learning for enzyme classification
Mohan Vamsi Nallapareddy, Rohit Dwivedula
Computational Biology and Chemistry (2021) Vol. 94, pp. 107558-107558
Open Access | Times Cited: 15

Old dogs, new trick: Classical starch˗sodium iodide reagent as the chromogenic substrate of peroxidase-like nanozymes
Chunqiu Xia, Xiaomin Zhang, Xiaotao Liu, et al.
Sensors and Actuators B Chemical (2022) Vol. 368, pp. 132229-132229
Closed Access | Times Cited: 10

Exploring Machine Learning Algorithms and Protein Language Models Strategies to Develop Enzyme Classification Systems
Diego Fernández, Álvaro Olivera‐Nappa, Roberto Uribe-Paredes, et al.
Lecture notes in computer science (2023), pp. 307-319
Closed Access | Times Cited: 5

Investigating Enzyme Biochemistry by Deep Learning: A Computational Tool for a New Era
Milad Rayka, Morteza Mirzaei, Gholamreza Farnoosh, et al.
Journal of Computational Biophysics and Chemistry (2024) Vol. 23, Iss. 06, pp. 781-799
Closed Access | Times Cited: 1

Protein Language Models Uncover Carbohydrate-Active Enzyme Function in Metagenomics
Kumar Thurimella, Ahmed M. Mohamed, Daniel B. Graham, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network
Ang Sun, Xuan Xiao, Zhaochun Xu
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 5

Enzymes in food processing: Present uses and future prospects
Y. Zhang, Jin Li, Corinne Nardin, et al.
Elsevier eBooks (2024), pp. 111-134
Closed Access

Industrial applications of enzymes of forest fungi
Helen Onyeaka, Ogueri Nwaiwu, Ozioma Forstinus Nwabor
Elsevier eBooks (2024), pp. 193-212
Closed Access

Nörodejeneratif Hastalıkların Tedavisinde Nöroprotektif Ajan Olarak Tıbbi Bitkiler ve Fitokimyasallar
Sevgi Gezici, Didem Koçum
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi (2021) Vol. 10, Iss. 2, pp. 325-337
Open Access | Times Cited: 3

A Theoretical Evaluation of Machine Learning to Predict Enzyme Family
Vaibhavee Jani, Warish Patel, Sohil Shah
2022 International Conference on Electronics and Renewable Systems (ICEARS) (2022), pp. 1387-1392
Closed Access | Times Cited: 2

Uso de la pulpa de papa como biomaterial para la remoción de un contaminante industrial (Orange II)
Diego Alberto Morales Urrea, Alex López‐Córdoba, Edgardo M. Contreras
Información tecnológica (2022) Vol. 33, Iss. 6, pp. 181-190
Open Access | Times Cited: 1

N-gram Features and Machine Learning Models for Recognizing Human Enzyme Protein Sequences
Disha M. Mehta, Rashmin B. Prajapati, Keyur N. Upadhyay, et al.
(2023), pp. 860-865
Closed Access

EZYDeep: A Deep Learning Tool for Enzyme Function Prediction based on Sequence Information
Khaled Boulahrouf, Salah Eddine Aliouane, Hamza Chehili, et al.
The Open Bioinformatics Journal (2023) Vol. 16, Iss. 1
Open Access

ABLE: Attention Based Learning for Enzyme Classification
Mohan Vamsi Nallapareddy, Rohit Dwivedula
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access

Machine learning based Human Enzyme Types, Features, and Amino Acid Sequence-Based Prediction Methods - A Detailed Review
Disha M. Mehta, Keyur N. Upadhyay, Neha Soni, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 1087-1092
Closed Access

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