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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 1-25 of 155 citing articles:

Predicting Diabetes Mellitus With Machine Learning Techniques
Quan Zou, Kaiyang Qu, Yamei Luo, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 746
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
Chao-Qin Feng, Zhao‐Yue Zhang, Xiaojuan Zhu, et al.
Bioinformatics (2018) Vol. 35, Iss. 9, pp. 1469-1477
Closed Access | Times Cited: 206
Predicting protein structural classes for low-similarity sequences by evaluating different features
Xiaojuan Zhu, Chao-Qin Feng, Hong-Yan Lai, et al.
Knowledge-Based Systems (2018) Vol. 163, pp. 787-793
Closed Access | Times Cited: 191
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
M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning
Leyi Wei, Huangrong Chen, Ran Su
Molecular Therapy — Nucleic Acids (2018) Vol. 12, pp. 635-644
Open Access | Times Cited: 169
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
Lexicon-enhanced sentiment analysis framework using rule-based classification scheme
Muhammad Zubair Asghar, Irfan Ullah Khan, Shakeel Ahmad, et al.
PLoS ONE (2017) Vol. 12, Iss. 2, pp. e0171649-e0171649
Open Access | Times Cited: 156
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
Ran Su, Jie Hu, Quan Zou, et al.
Briefings in Bioinformatics (2018) Vol. 21, Iss. 2, pp. 408-420
Closed Access | Times Cited: 148
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides
B. Dharma Rao, Chen Zhou, Guoying Zhang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1846-1855
Closed Access | Times Cited: 142
Identification of hormone binding proteins based on machine learning methods
Jiu-Xin Tan, Shi-Hao Li, Zimei Zhang, et al.
Mathematical Biosciences & Engineering (2019) Vol. 16, Iss. 4, pp. 2466-2480
Open Access | Times Cited: 134
Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning
Jiajun Hong, Yongchao Luo, Yang Zhang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 4, pp. 1437-1447
Open Access | Times Cited: 129
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data
Ran Su, Huichen Wu, Bo Xu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018) Vol. 16, Iss. 4, pp. 1231-1239
Closed Access | Times Cited: 127
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
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
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Yi Xiong, Qiankun Wang, Junchen Yang, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 116
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: 113
Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics
Xiaohui Lin, Chao Li, Yanhui Zhang, et al.
Molecules (2017) Vol. 23, Iss. 1, pp. 52-52
Open Access | Times Cited: 108
A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features
Zhibin Lv, Shunshan Jin, Hui Ding, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
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: 105
Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, N. Nagasundaram, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 104
MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction
Shida He, Fei Guo, Quan Zou, et al.
Current Bioinformatics (2020) Vol. 15, Iss. 10, pp. 1213-1221
Closed Access | Times Cited: 98
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: 90
MetaFS: Performance assessment of biomarker discovery in metaproteomics
Jing Tang, Minjie Mou, Yunxia Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 89
Computational identification of N6-methyladenosine sites in multiple tissues of mammals
Fanny Dao, Hao Lv, Yuhe R. Yang, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1084-1091
Open Access | Times Cited: 84
i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
Md Mehedi Hasan, Balachandran Manavalan, Mst. Shamima Khatun, et al.
International Journal of Biological Macromolecules (2019) Vol. 157, pp. 752-758
Closed Access | Times Cited: 82
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