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:

iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins
Dan Zhang, Hua-Dong Chen, Hasan Zulfiqar, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification
Haoyu Zhang, Quan Zou, Ying Ju, et al.
Current Bioinformatics (2022) Vol. 17, Iss. 5, pp. 473-482
Closed Access | Times Cited: 298
A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
Hamid Nasiri, Seyed Ali Alavi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 77
A First Computational Frame for Recognizing Heparin-Binding Protein
Wen Zhu, Shi-Shi Yuan, Jian Li, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2465-2465
Open Access | Times Cited: 70
Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings
Hasan Zulfiqar, Zhiling Guo, Ramala Masood Ahmad, et al.
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 62
The Roles of Optogenetics and Technology in Neurobiology: A Review
Wenqing Chen, Chen Li, Wanmin Liang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 55
CellEnBoost: A Boosting-Based Ligand-Receptor Interaction Identification Model for Cell-to-Cell Communication Inference
Lihong Peng, Ruya Yuan, Chendi Han, et al.
IEEE Transactions on NanoBioscience (2023) Vol. 22, Iss. 4, pp. 705-715
Closed Access | Times Cited: 30
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4123-4131
Open Access | Times Cited: 51
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46
EPSOL: sequence-based protein solubility prediction using multidimensional embedding
Xiang Wu, Liang Yu
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4314-4320
Closed Access | Times Cited: 45
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
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique
Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 3, pp. 1251-1251
Open Access | Times Cited: 31
Prediction of Amyloid Proteins using Embedded Evolutionary & Ensemble Feature Selection based Descriptors with eXtreme Gradient Boosting Model
Shahid Akbar, Hashim Ali, Ashfaq Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 39024-39036
Open Access | Times Cited: 22
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 41
iEnhancer-EBLSTM: Identifying Enhancers and Strengths by Ensembles of Bidirectional Long Short-Term Memory
Kun Niu, Ximei Luo, Shumei Zhang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 35
Digitally enabled approaches for the scale up of mammalian cell bioreactors
Masih Karimi Alavijeh, Irene Baker, Yih Yean Lee, et al.
Digital Chemical Engineering (2022) Vol. 4, pp. 100040-100040
Closed Access | Times Cited: 28
Fusing XGBoost and SHAP Models for Maritime Accident Prediction and Causality Interpretability Analysis
Cheng Zhang, Zou Xiong, Chuan Lin
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 8, pp. 1154-1154
Open Access | Times Cited: 28
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 26
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 24
Detection of transcription factors binding to methylated DNA by deep recurrent neural network
Hongfei Li, Yue Gong, Yifeng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 24
Prediction and Screening Model for Products Based on Fusion Regression and XGBoost Classification
Jiaju Wu, Linggang Kong, Ming Yi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 18
i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting
Zhixia Teng, Zhengnan Zhao, Yanjuan Li, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 17
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 11
Prediction of main particulars of container ships using artificial intelligence algorithms
Darin Majnarić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Ocean Engineering (2022) Vol. 265, pp. 112571-112571
Closed Access | Times Cited: 16
iPiDA-LTR: Identifying piwi-interacting RNA-disease associations based on Learning to Rank
Wenxiang Zhang, Jialu Hou, Bin Liu
PLoS Computational Biology (2022) Vol. 18, Iss. 8, pp. e1010404-e1010404
Open Access | Times Cited: 15
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh, et al.
Computation (2023) Vol. 11, Iss. 6, pp. 104-104
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top