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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:

Protein encoder: An autoencoder-based ensemble feature selection scheme to predict protein secondary structure
Uzma, Usama Manzoor, Zahid Halim
Expert Systems with Applications (2022) Vol. 213, pp. 119081-119081
Open Access | Times Cited: 21

Showing 21 citing articles:

A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 13
AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Rosysmita Bikram Singh, Agnieszka I. Olbert, Avinash Samantra, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105940-105940
Open Access | Times Cited: 9
Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets
Arju Manara Begum, M. Rubaiyat Hossain Mondal, Prajoy Podder, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 477-488
Open Access | Times Cited: 5
Fusion of autoencoder model for gene predication and RNA disease association
S. Sivasankari, E Keshamma, Mukesh Soni, et al.
Elsevier eBooks (2025), pp. 153-164
Closed Access
Feature selection for high-dimensional data using a multivariate search space reduction strategy based scatter search
Miguel García-Torres
Journal of Heuristics (2025) Vol. 31, Iss. 1
Open Access
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open Access
Gene Expression Model for the Disease Prediction with Auto-Encoder Model with Classifiers
A. C. Kunwar, Shulin Wang
Journal of Biosciences and Medicines (2025) Vol. 13, Iss. 03, pp. 155-182
Open Access
SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model
Benzhi Dong, Zheng Liu, Dali Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1364-1375
Open Access | Times Cited: 3
Prediction of protein secondary structure by the improved TCN-BiLSTM-MHA model with knowledge distillation
Lufei Zhao, Jingyi Li, Weiqiang Zhan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep learning methods for protein structure prediction
Yiming Qin, Zihan Chen, Peng Ye, et al.
MedComm – Future Medicine (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 3
Exploring the therapeutic potential of rutin through investigating its inhibitory mechanism on lactate dehydrogenase: Multi-spectral methods and computer simulation
Ding Pei, Kaiyu Yang, Huixiao Wang, et al.
Bioorganic Chemistry (2024) Vol. 149, pp. 107503-107503
Closed Access | Times Cited: 3
Lightweight Fine-tuning a Pretrained Protein Language Model for Protein Secondary Structure Prediction
Wei Yang, Chun Liu, Li Zheng
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
PPSNO: A Feature-Rich SNO Sites Predictor by Stacking Ensemble Strategy from Protein Sequence-Derived Information
Lun Zhu, Liuyang Wang, Zexi Yang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 1, pp. 192-217
Closed Access | Times Cited: 2
Transformer Encoder with Protein Language Model for Protein Secondary Structure Prediction
Ammar Kazm, A Orouji Ali, Haslina Hashim
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13124-13132
Open Access | Times Cited: 2
Deep learning algorithms applied to computational chemistry
Abimael Guzman‐Pando, Graciela Ramírez-Alonso, Carlos Arzate-Quintana, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2375-2410
Closed Access | Times Cited: 5
A lightweight unsupervised adversarial detector based on autoencoder and isolation forest
Hui Liu, Bo Zhao, Jiabao Guo, et al.
Pattern Recognition (2023) Vol. 147, pp. 110127-110127
Closed Access | Times Cited: 3
Feature selection for multiset-valued data based on fuzzy conditional information entropy using iterative model and matrix operation
Dan Huang, Yiying Chen, Fang Liu, et al.
Applied Soft Computing (2023) Vol. 142, pp. 110345-110345
Closed Access | Times Cited: 2
TEAM: Transformer Encoder Attention Module for Video Classification
Hae Sung Park, Yong Suk Choi
Computer Systems Science and Engineering (2024) Vol. 48, Iss. 2, pp. 451-477
Open Access
NeuroDAVIS-FS: Feature Selection Through Visualization Using NeuroDAVIS
Chayan Maitra, Anwesha Sengupta, Rajat K. De
Lecture notes in computer science (2024), pp. 284-298
Closed Access
MHTAPred-SS: A Highly Targeted Autoencoder-Driven Deep Multi-Task Learning Framework for Accurate Protein Secondary Structure Prediction
Rui Feng, Xun Wang, Zhijun Xia, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13444-13444
Open Access
A Lightweight Unsupervised Detector Based on Autoencoder and Isolation Forest Against Adversarial Examples
Hui Liu, Bo Zhao, Jiabao Guo, et al.
(2023)
Closed Access
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