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:

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

Showing 1-25 of 129 citing articles:

Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents
Ying Zhou, Yintao Zhang, Xichen Lian, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1398-D1407
Open Access | Times Cited: 507
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data
Qingxia Yang, Yunxia Wang, Ying Zhang, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W436-W448
Open Access | Times Cited: 176
The miRNA: a small but powerful RNA for COVID-19
Song Zhang, Kuerbannisha Amahong, Xiuna Sun, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 2, pp. 1137-1149
Open Access | Times Cited: 136
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Fengcheng Li, Ying Zhou, Ying Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 99
Molecular Mechanism for the Allosteric Inhibition of the Human Serotonin Transporter by Antidepressant Escitalopram
Weiwei Xue, Tingting Fu, Shengzhe Deng, et al.
ACS Chemical Neuroscience (2022) Vol. 13, Iss. 3, pp. 340-351
Closed Access | Times Cited: 94
Gene function and cell surface protein association analysis based on single-cell multiomics data
Huan Hu, Zhen Feng, Hai Lin, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106733-106733
Closed Access | Times Cited: 91
DrugMAP: molecular atlas and pharma-information of all drugs
Fengcheng Li, Jiayi Yin, Mingkun Lu, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D1288-D1299
Open Access | Times Cited: 75
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 65
Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
Mohamed Helmy, Derek J. Smith, Kumar Selvarajoo
Metabolic Engineering Communications (2020) Vol. 11, pp. e00149-e00149
Open Access | Times Cited: 84
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
Juntao Chen, Quan Zou, Jing Li
Frontiers of Computer Science (2021) Vol. 16, Iss. 2
Closed Access | Times Cited: 80
VARIDT 2.0: structural variability of drug transporter
Tingting Fu, Fengcheng Li, Yang Zhang, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1417-D1431
Open Access | Times Cited: 79
PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods
Weiqi Xia, Lingyan Zheng, Jiebin Fang, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105465-105465
Closed Access | Times Cited: 59
Pharmacometabonomics: data processing and statistical analysis
Jianbo Fu, Ying Zhang, Jin Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 58
DRESIS: the first comprehensive landscape of drug resistance information
Xiuna Sun, Yintao Zhang, Hanyang Li, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D1263-D1275
Open Access | Times Cited: 58
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Fuyi Li, Shuangyu Dong, André Leier, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 57
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal
Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf
Computers in Biology and Medicine (2022) Vol. 146, pp. 105570-105570
Closed Access | Times Cited: 55
Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers
Jaishree Meena, Yasha Hasija
Computers in Biology and Medicine (2022) Vol. 146, pp. 105505-105505
Closed Access | Times Cited: 45
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Computers in Biology and Medicine (2022) Vol. 146, pp. 105553-105553
Open Access | Times Cited: 41
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification
Ayan Mondal, Vimal K. Shrivastava
Computers in Biology and Medicine (2022) Vol. 150, pp. 106183-106183
Closed Access | Times Cited: 39
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation
Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106492-106492
Closed Access | Times Cited: 32
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
Siuly Siuly, Smith K. Khare, Enamul Kabir, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108462-108462
Open Access | Times Cited: 17
Application of artificial intelligence in drug design: A review
Simrandeep Singh, Navjot Kaur, Anita Gehlot
Computers in Biology and Medicine (2024) Vol. 179, pp. 108810-108810
Closed Access | Times Cited: 11
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: 69
A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD
Zhiyu Tao, Yanjuan Li, Zhixia Teng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 57
Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
Huaming Chen, Fuyi Li, Lei Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 56
Page 1 - Next Page

Scroll to top