Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting
Shengli Zhang, Tian Xue
Molecular Genetics and Genomics (2020) Vol. 295, Iss. 6, pp. 1431-1442
Closed Access | Times Cited: 22

Showing 22 citing articles:

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network
Fanny Dao, Hao Lv, Wei Su, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 32
Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit
Hongyan Shi, Shengli Zhang
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 4, pp. 879-894
Closed Access | Times Cited: 20
iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection
Yunyun Liang, Shengli Zhang, Huijuan Qiao, et al.
Analytical Biochemistry (2021) Vol. 630, pp. 114335-114335
Closed Access | Times Cited: 25
iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength
Huijuan Qiao, Shengli Zhang, Tian Xue, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106625-106625
Closed Access | Times Cited: 13
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15
iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree
Yunyun Liang, Shengli Zhang, Huijuan Qiao, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 6, pp. 8797-8814
Open Access | Times Cited: 13
PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit
Shengli Zhang, Yuanyuan Jing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1926-1934
Closed Access | Times Cited: 9
Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors
Yan-Ting Jin, Yang Tan, Z. Gan, et al.
Methods (2024) Vol. 229, pp. 125-132
Closed Access | Times Cited: 1
PrUb-EL: A hybrid framework based on deep learning for identifying ubiquitination sites in Arabidopsis thaliana using ensemble learning strategy
Houqiang Wang, Hong Li, Weifeng Gao, et al.
Analytical Biochemistry (2022) Vol. 658, pp. 114935-114935
Closed Access | Times Cited: 7
iORI-ENST: identifying origin of replication sites based on elastic net and stacking learning
Yingying Yao, Shengli Zhang, Yunyun Liang
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 4, pp. 317-331
Closed Access | Times Cited: 7
iR5hmcSC: Identifying RNA 5-hydroxymethylcytosine with multiple features based on stacking learning
Shengli Zhang, Hongyan Shi
Computational Biology and Chemistry (2021) Vol. 95, pp. 107583-107583
Closed Access | Times Cited: 6
iDPPIV-SI: identifying dipeptidyl peptidase IV inhibitory peptides by using multiple sequence information
Hongliang Zou
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 4, pp. 2144-2152
Closed Access | Times Cited: 2
The Chemical Mechanism of Pestilences or Coronavirus Disease 2019 (COVID-19)
Dongdong Zhang, Lin Fang, Li Wang, et al.
Natural Science (2020) Vol. 12, Iss. 11, pp. 717-725
Open Access | Times Cited: 5
Ensemble Learning with Extremely Randomized k-Nearest Neighbors for Accurate and Efficient Classification
Abid Saber, Moncef Abbas, Belkacem Fergani
New Generation Computing (2024) Vol. 43, Iss. 1
Closed Access
iDHS-RGME: Identification of DNase I hypersensitive sites by integrating information on nucleotide composition and physicochemical properties
Jian Jin, Jie Feng
Biochemical and Biophysical Research Communications (2024) Vol. 734, pp. 150618-150618
Closed Access
The Topological Entropy Mechanism of Coronavirus Disease 2019 (COVID-19)
Ruomeng Xu, Ludan Lei, Ruihua Qin, et al.
Natural Science (2020) Vol. 12, Iss. 12, pp. 737-742
Open Access | Times Cited: 3
iAHTP-LH: Integrating Low-Order and High-Order Correlation Information for Identifying Antihypertensive Peptides
Hongliang Zou
International Journal of Peptide Research and Therapeutics (2022) Vol. 28, Iss. 4
Closed Access | Times Cited: 2
iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local–Global Feature Extraction Network
Lei-Shan Wang, Zhan-Li Sun
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 15, Iss. 2, pp. 155-170
Closed Access | Times Cited: 2
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
The Remarkable Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
Natural Science (2021) Vol. 13, Iss. 03, pp. 43-75
Open Access | Times Cited: 2
iDHS-DT: Identifying DNase I hypersensitive sites by integrating DNA dinucleotide and trinucleotide information
Hongliang Zou, Fan Yang, Zhijian Yin
Biophysical Chemistry (2021) Vol. 281, pp. 106717-106717
Closed Access | Times Cited: 2
LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome
Xingyu Tang, Peijie Zheng, Yuewu Liu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 1037-1057
Open Access | Times Cited: 1
Page 1

Scroll to top