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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:

Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
Bin Liu, Deyuan Zhang, Ruifeng Xu, et al.
Bioinformatics (2013) Vol. 30, Iss. 4, pp. 472-479
Open Access | Times Cited: 269

Showing 51-75 of 269 citing articles:

A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods
Jun Zhang, Bin Liu
Current Bioinformatics (2018) Vol. 14, Iss. 3, pp. 190-199
Closed Access | Times Cited: 132
MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou’s pseudo amino acid composition and a novel multi-label classifier
Xiao Wang, Weiwei Zhang, Qiuwen Zhang, et al.
Bioinformatics (2015) Vol. 31, Iss. 16, pp. 2639-2645
Open Access | Times Cited: 130
IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learning
Yi-Jun Tang, Yihe Pang, Bin Liu
Bioinformatics (2020) Vol. 36, Iss. 21, pp. 5177-5186
Closed Access | Times Cited: 130
iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition
Xuan Xiao, Han-Xiao Ye, Zi Liu, et al.
Oncotarget (2016) Vol. 7, Iss. 23, pp. 34180-34189
Open Access | Times Cited: 127
SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity
Yinghong Li, Jing Yu Xu, Lin Tao, et al.
PLoS ONE (2016) Vol. 11, Iss. 8, pp. e0155290-e0155290
Open Access | Times Cited: 125
A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization
Wuritu Yang, Xiaojuan Zhu, Jian Huang, et al.
Current Bioinformatics (2018) Vol. 14, Iss. 3, pp. 234-240
Closed Access | Times Cited: 125
SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides
Leyi Wei, Jijun Tang, Quan Zou
BMC Genomics (2017) Vol. 18, Iss. S7
Open Access | Times Cited: 124
A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
Hai-Cheng Yi, Zhu‐Hong You, De-Shuang Huang, et al.
Molecular Therapy — Nucleic Acids (2018) Vol. 11, pp. 337-344
Open Access | Times Cited: 124
DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation
Bin Liu, Shanyi Wang, Xiaolong Wang
Scientific Reports (2015) Vol. 5, Iss. 1
Open Access | Times Cited: 122
MethyRNA: a web server for identification of N6-methyladenosine sites
Wei Chen, Hua Tang, Hao Lin
Journal of Biomolecular Structure and Dynamics (2016) Vol. 35, Iss. 3, pp. 683-687
Closed Access | Times Cited: 122
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition
Xinxin Chen, Hua Tang, Wenchao Li, et al.
BioMed Research International (2016) Vol. 2016, pp. 1-8
Open Access | Times Cited: 122
HPSLPred: An Ensemble Multi‐Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
Shixiang Wan, Yucong Duan, Quan Zou
PROTEOMICS (2017) Vol. 17, Iss. 17-18
Open Access | Times Cited: 120
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence
Yu‐An Huang, Zhu‐Hong You, Xin Gao, et al.
BioMed Research International (2015) Vol. 2015, pp. 1-10
Open Access | Times Cited: 118
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms
Leyi Wei, Jie Hu, Fuyi Li, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 115
Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition
Panpan Zhu, Wenchao Li, Zhe-Jin Zhong, et al.
Molecular BioSystems (2014) Vol. 11, Iss. 2, pp. 558-563
Closed Access | Times Cited: 113
Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome
Wei Chen, Hong Tran, Zhi-Yong Liang, et al.
Scientific Reports (2015) Vol. 5, Iss. 1
Open Access | Times Cited: 113
Open source machine-learning algorithms for the prediction of optimal cancer drug therapies
Cai Huang, Roman Mezencev, John F. McDonald, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0186906-e0186906
Open Access | Times Cited: 109
Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
Ruifeng Xu, Jiyun Zhou, Hongpeng Wang, et al.
BMC Systems Biology (2015) Vol. 9, Iss. S1
Open Access | Times Cited: 106
M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species
Xiaoli Qiang, Huangrong Chen, Xiucai Ye, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 106
Enhanced Protein Fold Prediction Method Through a Novel Feature Extraction Technique
Leyi Wei, Minghong Liao, Xing Gao, et al.
IEEE Transactions on NanoBioscience (2015) Vol. 14, Iss. 6, pp. 649-659
Closed Access | Times Cited: 99
dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation
Junjie Chen, Long Ren, Xiaolong Wang, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 95
Large-scale prediction of drug-target interactions from deep representations
Pengwei Hu, Keith C. C. Chan, Zhu‐Hong You
2022 International Joint Conference on Neural Networks (IJCNN) (2016)
Closed Access | Times Cited: 95
Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning
Hirofumi Kobayashi, Cheng Lei, Yi Wu, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 95
PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm
Qian Xu, Yi Xiong, Hao Dai, et al.
Journal of Theoretical Biology (2017) Vol. 417, pp. 1-7
Closed Access | Times Cited: 91
SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins
Lei Xu, Guangmin Liang, Shuhua Shi, et al.
International Journal of Molecular Sciences (2018) Vol. 19, Iss. 6, pp. 1773-1773
Open Access | Times Cited: 91

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