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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:

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
Bin Yu, Wenying Qiu, Cheng Chen, et al.
Bioinformatics (2019) Vol. 36, Iss. 4, pp. 1074-1081
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
Cheng Chen, Qingmei Zhang, Bin Yu, et al.
Computers in Biology and Medicine (2020) Vol. 123, pp. 103899-103899
Closed Access | Times Cited: 199
eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
Zeravan Arif Ali, Ziyad H. Abduljabbar, Hanan A. Tahir, et al.
Academic Journal of Nawroz University (2023) Vol. 12, Iss. 2, pp. 320-334
Open Access | Times Cited: 91
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 versatile active learning workflow for optimization of genetic and metabolic networks
Amir Pandi, Christoph Diehl, Ali Yazdizadeh Kharrazi, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 75
Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
Lijun Wang, Jiayao Wang, Zhenzhen Liu, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1435-1451
Open Access | Times Cited: 72
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
Fuliang Yi, Hui Yang, Durong Chen, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 56
iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications
Kewei Liu, Wei Chen
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3336-3342
Open Access | Times Cited: 136
Meta-i6mA: an interspecies predictor for identifying DNAN6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
Md Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 114
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Leyi Wei, Wenjia He, Adeel Malik, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 114
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor
Lijun Cai, Xuanbai Ren, Xiangzheng Fu, et al.
Bioinformatics (2020) Vol. 37, Iss. 8, pp. 1060-1067
Open Access | Times Cited: 83
Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization
Seongeun Ryu, Dong-Hoon Shin, Kyungyong Chung
IEEE Access (2020) Vol. 8, pp. 177708-177720
Open Access | Times Cited: 82
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 78
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network
Cheng Chen, Shi Han, Zhiwen Jiang, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104676-104676
Open Access | Times Cited: 76
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Rahu Sikander, Ali Ghulam, Farman Ali
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
DIRECT-NET: An efficient method to discover cis-regulatory elements and construct regulatory networks from single-cell multiomics data
Lihua Zhang, Jing Zhang, Qing Nie
Science Advances (2022) Vol. 8, Iss. 22
Open Access | Times Cited: 49
High and low-frequency climate modes associated with sub-seasonal sea surface temperature variability in the Gulf of Guinea
Chibuike Chiedozie Ibebuchi, Omon A. Obarein
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
Open Access | Times Cited: 1
Prediction of protein crotonylation sites through LightGBM classifier based on SMOTE and elastic net
Yaning Liu, Zhaomin Yu, Cheng Chen, et al.
Analytical Biochemistry (2020) Vol. 609, pp. 113903-113903
Closed Access | Times Cited: 69
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
Bin Yu, Chen Chen, Ren Qi, et al.
Briefings in Bioinformatics (2020)
Closed Access | Times Cited: 54
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
Xue Wang, Yaqun Zhang, Bin Yu, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104516-104516
Closed Access | Times Cited: 53
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 52
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
Multiple statistical models reveal specific volatile organic compounds affect sex hormones in American adult male: NHANES 2013–2016
Chengcheng Wei, Cao Li, Yuancheng Zhou, et al.
Frontiers in Endocrinology (2023) Vol. 13
Open Access | Times Cited: 17
DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion
Bin Yu, Zhaomin Yu, Cheng Chen, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 200, pp. 103999-103999
Open Access | Times Cited: 44
GTB-PPI: Predict Protein–Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting
Bin Yu, Cheng Chen, Hongyan Zhou, et al.
Genomics Proteomics & Bioinformatics (2020) Vol. 18, Iss. 5, pp. 582-592
Open Access | Times Cited: 44
Building vulnerability assessment in seismic areas using ensemble learning: A Nepal case study
Weiyi Chen, Limao Zhang
Journal of Cleaner Production (2022) Vol. 350, pp. 131418-131418
Closed Access | Times Cited: 28
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