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:

Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences
Luu Ho Thanh Lam, Ngoc Le, Lê Văn Tuấn, et al.
Biology (2020) Vol. 9, Iss. 10, pp. 325-325
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry
Manuela Gallón-Bedoya, Daniel Restrepo Montoya, Gipsy Tabilo‐Munizaga, et al.
Trends in Food Science & Technology (2022) Vol. 128, pp. 38-52
Open Access | Times Cited: 72
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Gul Rukh, Shahid Akbar, Gauhar Rehman, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 25
Schizophrenia Detection Using Machine Learning Approach from Social Media Content
Yi Ji Bae, Midan Shim, Won Hee Lee
Sensors (2021) Vol. 21, Iss. 17, pp. 5924-5924
Open Access | Times Cited: 52
Basic of machine learning and deep learning in imaging for medical physicists
Luigi Manco, N. Maffei, Silvia Strolin, et al.
Physica Medica (2021) Vol. 83, pp. 194-205
Closed Access | Times Cited: 50
iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy
Zahoor Ahmed, Hasan Zulfiqar, Abdullah Aman Khan, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 33
Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae
Jun Wei Roy Chong, Doris Ying Ying Tang, Hui Yi Leong, et al.
Bioengineered (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals
Manish Sharma, Jainendra Tiwari, Virendra Patel, et al.
Electronics (2021) Vol. 10, Iss. 13, pp. 1531-1531
Open Access | Times Cited: 37
Prediction of Protein–ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM Algorithm
Jiazhi Song, Guixia Liu, Jingqing Jiang, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 2, pp. 939-939
Open Access | Times Cited: 33
Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art
Igor Pantić, Jovana Paunović, Snežana Pejić, et al.
Chemico-Biological Interactions (2022) Vol. 358, pp. 109888-109888
Closed Access | Times Cited: 27
ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach
Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Fahim Sultan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107915-107915
Closed Access | Times Cited: 13
Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR
A. T. Herath, Rhowell N. Tiozon, Tobias Kretzschmar, et al.
Food Chemistry (2024) Vol. 460, pp. 140728-140728
Open Access | Times Cited: 4
Smart estimation of protective antioxidant enzymes’ activity in savory (Satureja rechingeri L.) under drought stress and soil amendments
Amin Taheri‐Garavand, Mojgan Beiranvandi, Abdolreza Ahmadi, et al.
BMC Plant Biology (2025) Vol. 25, Iss. 1
Open Access
Potential Mechanisms of Lactate Dehydrogenase and Bovine Serum Albumin Proteins as Antioxidants: A Mixed Experimental–Computational Study
Jing Ye, A. Dawn Bounds, Michaël J. Crumpton, et al.
Biochemistry Research International (2025) Vol. 2025, Iss. 1
Open Access
A breakthrough computational strategy for efficient enzymatic digestion of walnut protein to prepare antioxidant peptides
Like Lin, Dan Xiao, Wei Song, et al.
Food Chemistry (2025) Vol. 476, pp. 143311-143311
Closed Access
High-Fidelity EEG Feature-Engineered Taxonomy for Bruxism and PLMS Prognostication Through Pioneering and Avant-Garde ML Frameworks
Shivam Tiwari, Deepak Arora, Barkha Bhardwaj
Measurement Sensors (2025), pp. 101868-101868
Open Access
How did we get there? AI applications to biological networks and sequences
Marco Anteghini, Francesco Gualdi, Baldo Oliva
Computers in Biology and Medicine (2025) Vol. 190, pp. 110064-110064
Open Access
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms
Aijaz Ahmad Reshi, Imran Ashraf, Furqan Rustam, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e547-e547
Open Access | Times Cited: 26
In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins
Marco Anteghini, Vítor A. P. Martins dos Santos, Edoardo Saccenti
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 12, pp. 6409-6409
Open Access | Times Cited: 24
Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage
Lazar M. Davidovic, Darko Laketić, Jelena Cumic, et al.
Chemico-Biological Interactions (2021) Vol. 345, pp. 109533-109533
Closed Access | Times Cited: 23
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins
Hoang V. Tran, Quang H. Nguyen
Current Bioinformatics (2021) Vol. 17, Iss. 2, pp. 184-195
Closed Access | Times Cited: 23
Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot
Francisco David Pérez-Reynoso, Liliam Rodríguez‐Guerrero, Julio C. Salgado-Ramírez, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5882-5882
Open Access | Times Cited: 22
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods
Tazman Davies, Jimmy Chun Yu Louie, Tailane Scapin, et al.
Nutrients (2021) Vol. 13, Iss. 9, pp. 3195-3195
Open Access | Times Cited: 21
Determining human-coronavirus protein-protein interaction using machine intelligence
Arijit Chakraborty, Sajal Mitra, Mainak Bhattacharjee, et al.
Medicine in Novel Technology and Devices (2023) Vol. 18, pp. 100228-100228
Open Access | Times Cited: 7
Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis
Maicon Herverton Lino Ferreira da Silva, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, et al.
Informatics (2021) Vol. 8, Iss. 2, pp. 27-27
Open Access | Times Cited: 16
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis
Chang Jian, Siqi Chen, Zhuangcheng Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top