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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.

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Showing 1-25 of 307 citing articles:

BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches
Bin Liu, Xin Gao, Hanyu Zhang
Nucleic Acids Research (2019) Vol. 47, Iss. 20, pp. e127-e127
Open Access | Times Cited: 356
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition
Bin Liu, Longyun Fang, Ren Long, et al.
Bioinformatics (2015) Vol. 32, Iss. 3, pp. 362-369
Open Access | Times Cited: 352
Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways
Lei Chen, Yu-Hang Zhang, ShaoPeng Wang, et al.
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184129-e0184129
Open Access | Times Cited: 348
iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
Wei Chen, Pengmian Feng, Hui Ding, et al.
Analytical Biochemistry (2015) Vol. 490, pp. 26-33
Closed Access | Times Cited: 336
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Wei Chen, Hao Lin, Kuo‐Chen Chou
Molecular BioSystems (2015) Vol. 11, Iss. 10, pp. 2620-2634
Closed Access | Times Cited: 305
BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches
Bin Liu
Briefings in Bioinformatics (2017) Vol. 20, Iss. 4, pp. 1280-1294
Closed Access | Times Cited: 301
iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Pengmian Feng, Hui Yang, Hui Ding, et al.
Genomics (2018) Vol. 111, Iss. 1, pp. 96-102
Open Access | Times Cited: 298
iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC
Pengmian Feng, Hui Ding, Hui Yang, et al.
Molecular Therapy — Nucleic Acids (2017) Vol. 7, pp. 155-163
Open Access | Times Cited: 285
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
Jianhua Jia, Zi Liu, Xuan Xiao, et al.
Journal of Theoretical Biology (2015) Vol. 377, pp. 47-56
Closed Access | Times Cited: 277
pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties
Zi Liu, Xuan Xiao, Dong‐Jun Yu, et al.
Analytical Biochemistry (2015) Vol. 497, pp. 60-67
Closed Access | Times Cited: 257
iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
Zi Liu, Xuan Xiao, Wang‐Ren Qiu, et al.
Analytical Biochemistry (2015) Vol. 474, pp. 69-77
Closed Access | Times Cited: 256
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
Leyi Wei, Jijun Tang, Quan Zou
Information Sciences (2016) Vol. 384, pp. 135-144
Closed Access | Times Cited: 254
Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences
Bin Liu, Hao Wu, Kuo‐Chen Chou
Natural Science (2017) Vol. 09, Iss. 04, pp. 67-91
Open Access | Times Cited: 252
Similarity computation strategies in the microRNA-disease network: a survey
Quan Zou, Jinjin Li, Song Li, et al.
Briefings in Functional Genomics (2015), pp. elv024-elv024
Open Access | Times Cited: 244
Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Bin Liu, Longyun Fang, Fule Liu, et al.
PLoS ONE (2015) Vol. 10, Iss. 3, pp. e0121501-e0121501
Open Access | Times Cited: 239
Finding the Best Classification Threshold in Imbalanced Classification
Quan Zou, Sifa Xie, Ziyu Lin, et al.
Big Data Research (2016) Vol. 5, pp. 2-8
Closed Access | Times Cited: 225
Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning
Jielu Yan, Pratiti Bhadra, Ang Li, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 20, pp. 882-894
Open Access | Times Cited: 219
iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
Xuan Xiao, Jianliang Min, Wei‐Zhong Lin, et al.
Journal of Biomolecular Structure and Dynamics (2014) Vol. 33, Iss. 10, pp. 2221-2233
Open Access | Times Cited: 212
iLearnPlus:a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Zhen Chen, Pei Zhao, Chen Li, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 10, pp. e60-e60
Open Access | Times Cited: 199
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
Accurately identifying hemagglutinin using sequence information and machine learning methods
Xidan Zou, Liping Ren, Peiling Cai, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 73
AIPs-DeepEnC-GA: Predicting Anti-inflammatory Peptides using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm based Deep Ensemble Model
Ali Raza, Jamal Uddin, Quan Zou, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105239-105239
Closed Access | Times Cited: 22
PseDNA‐Pro: DNA‐Binding Protein Identification by Combining Chou’s PseAAC and Physicochemical Distance Transformation
Bin Liu, Jinghao Xu, Shixi Fan, et al.
Molecular Informatics (2014) Vol. 34, Iss. 1, pp. 8-17
Closed Access | Times Cited: 177
Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
Hua Tang, Wei Chen, Hao Lin
Molecular BioSystems (2016) Vol. 12, Iss. 4, pp. 1269-1275
Closed Access | Times Cited: 169
iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model
Wang‐Ren Qiu, Xuan Xiao, Wei‐Zhong Lin, et al.
Journal of Biomolecular Structure and Dynamics (2014) Vol. 33, Iss. 8, pp. 1731-1742
Open Access | Times Cited: 165
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