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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:

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Quan Zou, Shixiang Wan, Ying Ju, et al.
BMC Systems Biology (2016) Vol. 10, Iss. S4
Open Access | Times Cited: 155

Showing 26-50 of 155 citing articles:

An association coefficient of a belief function and its application in a target recognition system
Lipeng Pan, Yong Deng
International Journal of Intelligent Systems (2019) Vol. 35, Iss. 1, pp. 85-104
Open Access | Times Cited: 73
iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice
Hao Lv, Fanny Dao, Zheng-Xing Guan, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 72
AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
Chaolu Meng, Shunshan Jin, Lei Wang, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 70
UbiSitePred: A novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components
Xiaoqiang Cui, Zhaomin Yu, Bin Yu, et al.
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 184, pp. 28-43
Open Access | Times Cited: 67
RFAmyloid: A Web Server for Predicting Amyloid Proteins
Mengting Niu, Yanjuan Li, Chunyu Wang, et al.
International Journal of Molecular Sciences (2018) Vol. 19, Iss. 7, pp. 2071-2071
Open Access | Times Cited: 66
A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis
Sen Liang, Anjun Ma, Sen Yang, et al.
Computational and Structural Biotechnology Journal (2018) Vol. 16, pp. 88-97
Open Access | Times Cited: 64
A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network
Shuai Zou, Jingpu Zhang, Zuping Zhang
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184394-e0184394
Open Access | Times Cited: 63
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Yan Zhu, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 57
ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm
Yanjuan Li, Mengting Niu, Quan Zou
Journal of Proteome Research (2019) Vol. 18, Iss. 3, pp. 1392-1401
Closed Access | Times Cited: 55
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: 52
Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50
Imbalance learning for the prediction of N6-Methylation sites in mRNAs
Zhixun Zhao, Hui Peng, Chaowang Lan, et al.
BMC Genomics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 59
An improved wrapper-based feature selection method for machinery fault diagnosis
Kar Hoou Hui, Ching Sheng Ooi, Meng Hee Lim, et al.
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0189143-e0189143
Open Access | Times Cited: 58
Identify and analysis crotonylation sites in histone by using support vector machines
Wang‐Ren Qiu, Bi‐Qian Sun, Hua Tang, et al.
Artificial Intelligence in Medicine (2017) Vol. 83, pp. 75-81
Closed Access | Times Cited: 55
PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine
Lei Deng, Juan Pan, Xiaojie Xu, et al.
BMC Bioinformatics (2018) Vol. 19, Iss. S19
Open Access | Times Cited: 50
iATP: A Sequence Based Method for Identifying Anti-tubercular Peptides
Wei Chen, Pengmian Feng, Fulei Nie
Medicinal Chemistry (2019) Vol. 16, Iss. 5, pp. 620-625
Closed Access | Times Cited: 47
DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory
Jun Zhang, Qingcai Chen, Bin Liu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 4, pp. 1451-1463
Closed Access | Times Cited: 45
A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomics studies
Jing Tang, Yunxia Wang, Jianbo Fu, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 4, pp. 1378-1390
Closed Access | Times Cited: 44
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
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties
Yuliang Pan, Diwei Liu, Lei Deng
PLoS ONE (2017) Vol. 12, Iss. 6, pp. e0179314-e0179314
Open Access | Times Cited: 48
An Ameliorated Prediction of Drug–Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features
Cong Shen, Yijie Ding, Jijun Tang, et al.
International Journal of Molecular Sciences (2017) Vol. 18, Iss. 8, pp. 1781-1781
Open Access | Times Cited: 48
Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods
Jiu-Xin Tan, Fanny Dao, Hao Lv, et al.
Molecules (2018) Vol. 23, Iss. 8, pp. 2000-2000
Open Access | Times Cited: 45
A network-based method using a random walk with restart algorithm and screening tests to identify novel genes associated with Menière's disease
Lin Li, YanShu Wang, Lifeng An, et al.
PLoS ONE (2017) Vol. 12, Iss. 8, pp. e0182592-e0182592
Open Access | Times Cited: 42
Antigenic: An improved prediction model of protective antigens
Mohammad Saifur Rahman, Md. Khaledur Rahman, Sanjay Saha, et al.
Artificial Intelligence in Medicine (2019) Vol. 94, pp. 28-41
Closed Access | Times Cited: 42
A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods
Jiu-Xin Tan, Hao Lv, Fang Wang, et al.
Current Drug Targets (2018) Vol. 20, Iss. 5, pp. 540-550
Closed Access | Times Cited: 41

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