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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:

Prediction of bacteriophage proteins located in the host cell using hybrid features
Jing-Hui Cheng, Hui Yang, Menglu Liu, et al.
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 180, pp. 64-69
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Identify origin of replication inSaccharomyces cerevisiaeusing two-step feature selection technique
Fanny Dao, Hao Lv, Fang Wang, et al.
Bioinformatics (2018) Vol. 35, Iss. 12, pp. 2075-2083
Closed Access | Times Cited: 180
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
Leyi Wei, Shasha Luan, Luís Augusto Eijy Nagai, et al.
Bioinformatics (2018) Vol. 35, Iss. 8, pp. 1326-1333
Closed Access | Times Cited: 169
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning
Leyi Wei, Chen Zhou, Ran Su, et al.
Bioinformatics (2019) Vol. 35, Iss. 21, pp. 4272-4280
Closed Access | Times Cited: 162
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
Xiaoli Qiang, Chen Zhou, Xiucai Ye, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 121
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: 105
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
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: 28
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: 71
DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space
Farman Ali, Muhammad Kabir, Muhammad Arif, et al.
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 182, pp. 21-30
Closed Access | Times Cited: 70
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zi-Fan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
Zaheer Ullah Khan, Farman Ali, Irfan Ahmad, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 195, pp. 103876-103876
Closed Access | Times Cited: 38
PredAoDP: Accurate identification of antioxidant proteins by fusing different descriptors based on evolutionary information with support vector machine
Saeed Ahmed, Muhammad Arif, Muhammad Kabir, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 228, pp. 104623-104623
Closed Access | Times Cited: 20
Predicting LncRNA Subcellular Localization Using Unbalanced Pseudo-k Nucleotide Compositions
Xiaofei Yang, Yuan-Ke Zhou, Lin Zhang, et al.
Current Bioinformatics (2019) Vol. 15, Iss. 6, pp. 554-562
Closed Access | Times Cited: 23
The Classification of Enzymes by Deep Learning
Zhiyu Tao, Benzhi Dong, Zhixia Teng, et al.
IEEE Access (2020) Vol. 8, pp. 89802-89811
Open Access | Times Cited: 23
Advances in the field of phage-based therapy with special emphasis on computational resources
Nisha Bajiya, Anjali Dhall, Suchet Aggarwal, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 9
Identification of S-nitrosylation sites based on multiple features combination
Taoying Li, Runyu Song, Qian Yin, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 15
Prediction of G Protein-Coupled Receptors With CTDC Extraction and MRMD2.0 Dimension-Reduction Methods
Xingyue Gu, Zhihua Chen, Donghua Wang
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 13
The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review
Huanhuan Wei, Wuritu Yang, Hua Tang, et al.
Current Drug Metabolism (2018) Vol. 20, Iss. 3, pp. 217-223
Closed Access | Times Cited: 14
Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features
Hongfei Li, Xianfang Wang, Hua Tang
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 11
Predicting quorum sensing peptides using stacked generalization ensemble with gradient boosting based feature selection
Muthusaravanan Sivaramakrishnan, Rahul Suresh, Kannapiran Ponraj
The Journal of Microbiology (2022) Vol. 60, Iss. 7, pp. 756-765
Closed Access | Times Cited: 6
Bioluminescent Proteins Prediction with Voting Strategy
Shulin Zhao, Ying Ju, Xiucai Ye, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 2, pp. 240-251
Closed Access | Times Cited: 8
Prediction of diabetic protein markers based on an ensemble method
K.Y. Qu, Quan Zou, Hua Shi
Frontiers in Bioscience-Landmark (2021) Vol. 26, Iss. 7
Open Access | Times Cited: 8
Mini‐Metagenomics and Nucleotide Composition Aid the Identification and Host Association of Novel Bacteriophage Sequences
Jonathan Deaton, Feiqiao Brian Yu, Stephen R. Quake
Advanced Biosystems (2019) Vol. 3, Iss. 11
Open Access | Times Cited: 8
Prediction of liquidus temperature for complex electrolyte systems Na3AlF6-AlF3-CaF2-MgF2-Al2O3-KF-LiF based on the machine learning methods
Hui Lü, Xiaojun Hu, Bin Cao, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 189, pp. 110-120
Closed Access | Times Cited: 7
Combining Support Vector Machine with Dual g-gap Dipeptides to Discriminate between Acidic and Alkaline Enzymes
Xianfang Wang, Hongfei Li, Peng Gao, et al.
Letters in Organic Chemistry (2018) Vol. 16, Iss. 4, pp. 325-331
Closed Access | Times Cited: 6
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