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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:

Underestimation-Assisted Global-Local Cooperative Differential Evolution and the Application to Protein Structure Prediction
Xiaogen Zhou, Chunxiang Peng, Jun Liu, et al.
IEEE Transactions on Evolutionary Computation (2019), pp. 1-1
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Xiaogen Zhou, Wei Zheng, Yang Li, et al.
Nature Protocols (2022) Vol. 17, Iss. 10, pp. 2326-2353
Closed Access | Times Cited: 304
MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction
Zhenyu Lei, Shangce Gao, Zhiming Zhang, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 3, pp. 417-430
Closed Access | Times Cited: 74
Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization
Zijia Wang, Jun-Rong Jian, Zhi‐Hui Zhan, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 964-979
Open Access | Times Cited: 53
MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation
Yong-Feng Ge, Maria E. Orłowska, Jinli Cao, et al.
The VLDB Journal (2022) Vol. 31, Iss. 5, pp. 957-975
Closed Access | Times Cited: 49
Progressive assembly of multi-domain protein structures from cryo-EM density maps
Xiaogen Zhou, Yang Li, Chengxin Zhang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 4, pp. 265-275
Open Access | Times Cited: 39
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
Function value ranking aware differential evolution for global numerical optimization
Dong Liu, Hao He, Qiang Yang, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101282-101282
Closed Access | Times Cited: 29
DEMO-EM2: assembling protein complex structures from cryo-EM maps through intertwined chain and domain fitting
Ziying Zhang, Yaxian Cai, Biao Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 7
Protein Structure Prediction Using A New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach
Jun Hong, Zhi‐Hui Zhan, Langchong He, et al.
IEEE Transactions on Evolutionary Computation (2024), pp. 1-1
Open Access | Times Cited: 6
Differential evolution with evolutionary scale adaptation
Sheng Xin Zhang, Xin Rou Hu, Shao Yong Zheng
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101481-101481
Closed Access | Times Cited: 5
A survey on expensive optimization problems using differential evolution
Chongle Ren, Zhenyu Meng
Applied Soft Computing (2025) Vol. 170, pp. 112727-112727
Closed Access
NFDDE: A novelty-hybrid-fitness driving differential evolution algorithm
Xuewen Xia, Lei Tong, Yinglong Zhang, et al.
Information Sciences (2021) Vol. 579, pp. 33-54
Open Access | Times Cited: 32
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, et al.
Evolutionary Computation (2023) Vol. 32, Iss. 1, pp. 3-48
Open Access | Times Cited: 13
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
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
An Adaptive Covariance Scaling Estimation of Distribution Algorithm
Qiang Yang, Yong Li, Xudong Gao, et al.
Mathematics (2021) Vol. 9, Iss. 24, pp. 3207-3207
Open Access | Times Cited: 28
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
Differential evolution with two-level adaptive mechanism for numerical optimization
Xueqing Yan, Mengnan Tian
Knowledge-Based Systems (2022) Vol. 241, pp. 108209-108209
Closed Access | Times Cited: 20
Structural analogue-based protein structure domain assembly assisted by deep learning
Chunxiang Peng, Xiaogen Zhou, Yuhao Xia, et al.
Bioinformatics (2022) Vol. 38, Iss. 19, pp. 4513-4521
Open Access | Times Cited: 19
Knowledge transfer-based distributed differential evolution for dynamic database fragmentation
Yong-Feng Ge, Maria E. Orłowska, Jinli Cao, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107325-107325
Closed Access | Times Cited: 20
GraphGPSM: a global scoring model for protein structure using graph neural networks
Guang-Xing He, Jun Liu, Dong Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 8
Differential evolution with collective ensemble learning
Sheng Xin Zhang, Yu Hong Liu, Li Zheng, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101521-101521
Closed Access | Times Cited: 2
Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction
Xingqian Chen, Shuangbao Song, Junkai Ji, et al.
Information Sciences (2020) Vol. 540, pp. 69-88
Closed Access | Times Cited: 20
Adaptive Dimensional Learning with a Tolerance Framework for the Differential Evolution Algorithm
Wei Li, Xinqiang Ye, Ying Huang, et al.
Complex System Modeling and Simulation (2022) Vol. 2, Iss. 1, pp. 59-77
Open Access | Times Cited: 11
Differential evolution with objective and dimension knowledge utilization
Sheng Xin Zhang, Shao Yong Zheng, Li Zheng
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101322-101322
Closed Access | Times Cited: 6
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