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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:

CGLFold: a contact-assistedde novoprotein structure prediction using global exploration and loop perturbation sampling algorithm
Jun Liu, Xiaogen Zhou, Yang Zhang, et al.
Bioinformatics (2019) Vol. 36, Iss. 8, pp. 2443-2450
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

AlphaFold2 and its applications in the fields of biology and medicine
Zhenyu Yang, Xiaoxi Zeng, Yi Zhao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 235
DeepUMQA: ultrafast shape recognition-based protein model quality assessment using deep learning
Sai-Sai Guo, Jun Liu, Xiaogen Zhou, et al.
Bioinformatics (2022) Vol. 38, Iss. 7, pp. 1895-1903
Open Access | Times Cited: 38
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm
Minghua Hou, Si-Rong Jin, Xinyue Cui, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 3, pp. 519-531
Open Access | Times Cited: 8
Neuropathy target esterase (NTE/PNPLA6) and organophosphorus compound-induced delayed neurotoxicity (OPIDN)
Rudy J. Richardson, John K. Fink, Paul Glynn, et al.
Advances in neurotoxicology (2020), pp. 1-78
Open Access | Times Cited: 47
Recent Advances and Challenges in Protein Structure Prediction
Chunxiang Peng, Liang Fang, Yuhao Xia, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 76-95
Closed Access | Times Cited: 15
Evaluation of residue-residue contact prediction methods: From retrospective to prospective
Huiling Zhang, Zhendong Bei, Wenhui Xi, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 5, pp. e1009027-e1009027
Open Access | Times Cited: 29
MMpred: a distance-assisted multimodal conformation sampling for de novo protein structure prediction
Kailong Zhao, Jun Liu, Xiaogen Zhou, et al.
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4350-4356
Open Access | Times Cited: 29
Improved model quality assessment using sequence and structural information by enhanced deep neural networks
Jun Liu, Kailong Zhao, Guijun Zhang
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 21
DeepUMQA3: a web server for accurate assessment of interface residue accuracy in protein complexes
Jun Liu, Dong Liu, Guijun Zhang
Bioinformatics (2023) Vol. 39, Iss. 10
Open Access | Times Cited: 9
De novo protein structure prediction by incremental inter-residue geometries prediction and model quality assessment using deep learning
Jun Liu, Guang-Xing He, Kailong Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 11
Recent Progress Using De Novo Design to Study Protein Structure, Design and Binding Interactions
Juan Ferrando, Lee A. Solomon
Life (2021) Vol. 11, Iss. 3, pp. 225-225
Open Access | Times Cited: 15
Artificial intelligence for template-free protein structure prediction: a comprehensive review
M. M. Mohamed Mufassirin, M. A. Hakim Newton, Abdul Sattar
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7665-7732
Closed Access | Times Cited: 10
Protein multiple conformations prediction using multi-objective evolution algorithm
Minghua Hou, Si-Rong Jin, Xinyue Cui, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Enhancing protein inter-residue real distance prediction by scrutinising deep learning models
Julia Rahman, M. A. Hakim Newton, Md Khaled Ben Islam, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
A sequential niche multimodal conformational sampling algorithm for protein structure prediction
Yuhao Xia, Chunxiang Peng, Xiaogen Zhou, et al.
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4357-4365
Open Access | Times Cited: 11
A de novo protein structure prediction by iterative partition sampling, topology adjustment and residue-level distance deviation optimization
Jun Liu, Kailong Zhao, Guang-Xing He, et al.
Bioinformatics (2021) Vol. 38, Iss. 1, pp. 99-107
Open Access | Times Cited: 10
Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins
Rahmatullah Roche, Sutanu Bhattacharya, Debswapna Bhattacharya
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008753-e1008753
Open Access | Times Cited: 9
Construct a variable-length fragment library for de novo protein structure prediction
Qiongqiong Feng, Minghua Hou, Jun Liu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 5
Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors
M. A. Hakim Newton, Julia Rahman, Rianon Zaman, et al.
Computational Biology and Chemistry (2022) Vol. 99, pp. 107700-107700
Closed Access | Times Cited: 5
Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning
Biao Zhang, Dong Liu, Yang Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 3
Constraint Guided Neighbor Generation for Protein Structure Prediction
Rianon Zaman, M. A. Hakim Newton, Fereshteh Mataeimoghadam, et al.
IEEE Access (2022) Vol. 10, pp. 54991-55001
Open Access | Times Cited: 3
The use of computational biology in protein engineering and drug discovery
Guido Putignano, Nicola Marino, Evelyne Bischof, et al.
Elsevier eBooks (2024), pp. 15-33
Closed Access
Distance-guided protein folding based on generalized descent direction
Liujing Wang, Jun Liu, Yuhao Xia, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 4
AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction
Che Zhao, Shunfang Wang
Computers in Biology and Medicine (2023) Vol. 169, pp. 107822-107822
Closed Access | Times Cited: 1
Improved model quality assessment using sequence and structural information by enhanced deep neural networks
Jun Liu, Kailong Zhao, Guijun Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 2
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