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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:

Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling
Cangzhi Jia, Meng Zhang, Cunshuo Fan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 5, pp. 1937-1945
Closed Access | Times Cited: 25

Showing 25 citing articles:

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
Fuyi Li, Jin-Xiang Chen, Zongyuan Ge, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 2126-2140
Open Access | Times Cited: 68
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Yan Zhu, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 57
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
Chunyan Ao, Quan Zou, Liang Yu
Methods (2021) Vol. 203, pp. 32-39
Closed Access | Times Cited: 43
PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets
Qiong Chen, Zhong-Liang Zhang, Wenpo Huang, et al.
Neurocomputing (2022) Vol. 498, pp. 75-88
Closed Access | Times Cited: 36
Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling
Yan Zhu, Cangzhi Jia, Fuyi Li, et al.
Analytical Biochemistry (2020) Vol. 593, pp. 113592-113592
Closed Access | Times Cited: 49
DeepMal: Accurate prediction of protein malonylation sites by deep neural networks
Minghui Wang, Xiaoqiang Cui, Shan Li, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 207, pp. 104175-104175
Closed Access | Times Cited: 31
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction
Meng Zhang, Cangzhi Jia, Fuyi Li, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 26
Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem
Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, et al.
IEEE Access (2022) Vol. 10, pp. 11730-11749
Open Access | Times Cited: 13
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory
Zhimin Zhang, Jianping Zhao, Pi-Jing Wei, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107087-107087
Closed Access | Times Cited: 10
predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3624-3634
Closed Access | Times Cited: 14
PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection
Md. Sohrawordi, Md. Ali Hossain, Md. Al Mehedi Hasan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 9
predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0249396-e0249396
Open Access | Times Cited: 10
Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques
Md. Sohrawordi, Md. Ali Hossain
Biochimie (2021) Vol. 192, pp. 125-135
Closed Access | Times Cited: 9
O-glycosylation site prediction for Homo sapiens by combining properties and sequence features with support vector machine
Yan Zhu, Shuwan Yin, Jia Zheng, et al.
Journal of Bioinformatics and Computational Biology (2021) Vol. 20, Iss. 01
Closed Access | Times Cited: 5
Synthetic minority oversampling technique based on natural neighborhood graph with subgraph cores for class-imbalanced classification
Ming Zhao
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC
Afrida Rahman, Sabit Ahmed, Julia Rahman, et al.
2017 IEEE Region 10 Symposium (TENSYMP) (2020), pp. 921-924
Closed Access | Times Cited: 3
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Yankun Cao, Pengwei Wang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
LyFor:Prediction of lysine formylation sites from sequence based features using support vector machine
Md. Sohrawordi, Md. Sohrawordi, Md. Al Mehedi Hasan, et al.
2017 IEEE Region 10 Symposium (TENSYMP) (2020), pp. 250-253
Closed Access | Times Cited: 2
predForm-Site: Formylation site prediction by incorporating multiple features and resolving data imbalance
Md Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan, et al.
Computational Biology and Chemistry (2021) Vol. 94, pp. 107553-107553
Closed Access | Times Cited: 2
UbiSites-SRF: Ubiquitination Sites Prediction Using Statistical Moment with Random Forest Approach
Shazia Murad, Arwa Mashat, Alia Mahfooz, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins
Pengyu Li, He Zhang, Xuyang Zhao, et al.
Journal of Bioinformatics and Computational Biology (2020) Vol. 18, Iss. 02, pp. 2050008-2050008
Closed Access | Times Cited: 1
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Pengwei Wang, Lan Ye, et al.
(2023)
Open Access
EnILs: A General Ensemble Computational Approach for Predicting Inducing Peptides of Multiple Interleukins
Rui Su, Jujuan Zhuang, Shuhan Liu, et al.
Journal of Computational Biology (2023) Vol. 30, Iss. 12, pp. 1289-1304
Closed Access
2021 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 18

IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 19, Iss. 1, pp. 1-56
Open Access
Incorporation of Kernel Support Vector Machine for Effective Prediction of Lysine Formylation from Class Imbalance Samples
Md. Sohrawordi, Md. Ali Hossain
Lecture notes on data engineering and communications technologies (2021), pp. 181-193
Closed Access
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