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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:

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features
Dan Zhang, Zhaochun Xu, Wei Su, et al.
Bioinformatics (2020) Vol. 37, Iss. 2, pp. 171-177
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 10
iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice
Hao Lv, Yang Zhang, Jia-Shu Wang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 23
Detection of transcription factors binding to methylated DNA by deep recurrent neural network
Hongfei Li, Yue Gong, Yifeng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 22
Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers
Thanh‐Hoang Nguyen‐Vo, Quang H. Trinh, Loc Nguyen, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 21, pp. 5050-5058
Closed Access | Times Cited: 21
Amino Acid Reduction Can Help to Improve the Identification of Antimicrobial Peptides and Their Functional Activities
Gaifang Dong, Lei Zheng, Shenghui Huang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 20
IBPred: A sequence-based predictor for identifying ion binding protein in phage
Shi-Shi Yuan, Dong Gao, Xue-Qin Xie, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4942-4951
Open Access | Times Cited: 14
GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features
Adeel Malik, Watshara Shoombuatong, Chang-Bae Kim, et al.
International Journal of Biological Macromolecules (2022) Vol. 229, pp. 529-538
Open Access | Times Cited: 14
Artificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics
Mohammad Ashrafuzzaman
Membranes (2021) Vol. 11, Iss. 9, pp. 672-672
Open Access | Times Cited: 19
KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
Yuran Jia, Shan Huang, Tianjiao Zhang
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 19
Stability of Protein Pharmaceuticals: Recent Advances
Mark C. Manning, Ryan E. Holcomb, R. W. Payne, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 7, pp. 1301-1367
Closed Access | Times Cited: 2
Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning
Sheraz Naseer, Rao Faizan Ali, Suliman Mohamed Fati, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations
Sheraz Naseer, Suliman Mohamed Fati, Amgad Muneer, et al.
IEEE Access (2022) Vol. 10, pp. 12953-12965
Open Access | Times Cited: 9
SCMRSA: a New Approach for Identifying and Analyzing Anti-MRSA Peptides Using Estimated Propensity Scores of Dipeptides
Phasit Charoenkwan, Sakawrat Kanthawong, Nalini Schaduangrat, et al.
ACS Omega (2022) Vol. 7, Iss. 36, pp. 32653-32664
Open Access | Times Cited: 9
Prediction of Peptide Detectability Based on CapsNet and Convolutional Block Attention Module
Minzhe Yu, Yushuai Duan, Zhong Li, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 21, pp. 12080-12080
Open Access | Times Cited: 12
Multifarious aspects of the chaos game representation and its applications in biological sequence analysis
Adrian Kania, Krzysztof Sarapata
Computers in Biology and Medicine (2022) Vol. 151, pp. 106243-106243
Closed Access | Times Cited: 8
Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning
Zhengtao Luo, Liliang Lou, Wang‐Ren Qiu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 24, pp. 15490-15490
Open Access | Times Cited: 8
IHEC_RAAC: a online platform for identifying human enzyme classes via reduced amino acid cluster strategy
Hao Wang, Qilemuge Xi, Pengfei Liang, et al.
Amino Acids (2021) Vol. 53, Iss. 2, pp. 239-251
Closed Access | Times Cited: 11
Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition
Wenxia Su, Shuyi Deng, Zhi-Feng Gu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 4
O-GlyThr: Prediction of human O-linked threonine glycosites using multi-feature fusion
Hua Tang, Qiang Tang, Qian Zhang, et al.
International Journal of Biological Macromolecules (2023) Vol. 242, pp. 124761-124761
Closed Access | Times Cited: 4
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism
Rao Zeng, Song Cheng, Minghong Liao
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2120-2120
Open Access | Times Cited: 9
iEnhancer-DLRA: identification of enhancers and their strengths by a self-attention fusion strategy for local and global features
Li Zeng, Yang Liu, Zu‐Guo Yu, et al.
Briefings in Functional Genomics (2022) Vol. 21, Iss. 5, pp. 399-407
Closed Access | Times Cited: 6
Utilize a few features to classify presynaptic and postsynaptic neurotoxins
Hao Wan, Qing Liu, Ying Ju
Computers in Biology and Medicine (2022) Vol. 152, pp. 106380-106380
Closed Access | Times Cited: 6
Recent Advances in Predicting Protein S-Nitrosylation Sites
Qian Zhao, Jiaqi Ma, Fang Xie, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 8
A deep learning based two-layer predictor to identify enhancers and their strength
Di Zhu, Wen Yang, Dali Xu, et al.
Methods (2023) Vol. 211, pp. 23-30
Closed Access | Times Cited: 3

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