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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:

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
Zhendong Su, Yan Huang, Zhao‐Yue Zhang, et al.
Bioinformatics (2018) Vol. 34, Iss. 24, pp. 4196-4204
Open Access | Times Cited: 273

Showing 1-25 of 273 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: 753
The how and why of lncRNA function: An innate immune perspective
Elektra K. Robinson, Sergio Covarrubias, Susan Carpenter
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (2019) Vol. 1863, Iss. 4, pp. 194419-194419
Open Access | Times Cited: 265
Global Positioning System: Understanding Long Noncoding RNAs through Subcellular Localization
Joana Carlevaro-Fita, Rory Johnson
Molecular Cell (2019) Vol. 73, Iss. 5, pp. 869-883
Open Access | Times Cited: 263
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Medicinal Research Reviews (2020) Vol. 40, Iss. 4, pp. 1276-1314
Closed Access | Times Cited: 256
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response
Ran Su, Xinyi Liu, Leyi Wei, et al.
Methods (2019) Vol. 166, pp. 91-102
Closed Access | Times Cited: 227
Sequence clustering in bioinformatics: an empirical study
Quan Zou, Gang Lin, Xingpeng Jiang, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 209
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
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome
Wei Chen, Hao Lv, Fulei Nie, et al.
Bioinformatics (2019) Vol. 35, Iss. 16, pp. 2796-2800
Closed Access | Times Cited: 196
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: 192
iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition
Wei Chen, Hui Ding, Xu Zhou, et al.
Analytical Biochemistry (2018) Vol. 561-562, pp. 59-65
Closed Access | Times Cited: 187
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: 164
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 131-141
Open Access | Times Cited: 151
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 111
Illuminating RNA biology through imaging
Phuong Le, Noorsher Ahmed, G Yeo
Nature Cell Biology (2022) Vol. 24, Iss. 6, pp. 815-824
Open Access | Times Cited: 78
Linking discoveries, mechanisms, and technologies to develop a clearer perspective on plant long noncoding RNAs
Kyle Palos, Liang Yu, Caylyn E Railey, et al.
The Plant Cell (2023) Vol. 35, Iss. 6, pp. 1762-1786
Open Access | Times Cited: 46
CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs
Tianyuan Liu, Huiyuan Qiao, Zixu Wang, et al.
Advanced Science (2024) Vol. 11, Iss. 22
Open Access | Times Cited: 21
iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
Balachandran Manavalan, Rajiv Gandhi Govindaraj, Tae Hwan Shin, et al.
Frontiers in Immunology (2018) Vol. 9
Open Access | Times Cited: 161
Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Yinan Shen, Jijun Tang, Fei Guo
Journal of Theoretical Biology (2018) Vol. 462, pp. 230-239
Closed Access | Times Cited: 153
iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, Quang‐Thai Ho, et al.
Analytical Biochemistry (2019) Vol. 571, pp. 53-61
Closed Access | Times Cited: 141
Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features
Brian Gudenas, Liangjiang Wang
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 130
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Zhen Chen, Xuhan Liu, Fuyi Li, et al.
Briefings in Bioinformatics (2018) Vol. 20, Iss. 6, pp. 2267-2290
Open Access | Times Cited: 126
pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC
Xiang Cheng, Wei‐Zhong Lin, Xuan Xiao, et al.
Bioinformatics (2018) Vol. 35, Iss. 3, pp. 398-406
Open Access | Times Cited: 125
Design powerful predictor for mRNA subcellular location prediction inHomo sapiens
Zhao‐Yue Zhang, Yuhe R. Yang, Hui Ding, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 1, pp. 526-535
Open Access | Times Cited: 125
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