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:

Approaches to robust process identification: A review and tutorial of probabilistic methods
Hariprasad Kodamana, Biao Huang, Rishik Ranjan, et al.
Journal of Process Control (2018) Vol. 66, pp. 68-83
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, et al.
Annual Reviews in Control (2018) Vol. 46, pp. 107-133
Closed Access | Times Cited: 256

Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation
Kazi N. Hasan, Robin Preece, Jovica V. Milanović
Renewable and Sustainable Energy Reviews (2018) Vol. 101, pp. 168-180
Open Access | Times Cited: 169

Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-36
Open Access | Times Cited: 141

A review on robust M-estimators for regression analysis
Diego Q.F. de Menezes, Diego Martinez Prata, Argimiro R. Secchi, et al.
Computers & Chemical Engineering (2021) Vol. 147, pp. 107254-107254
Closed Access | Times Cited: 113

Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach
Hongtian Chen, Linlin Li, Chao Shang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4259-4269
Closed Access | Times Cited: 72

A review of the Expectation Maximization algorithm in data-driven process identification
Nima Sammaknejad, Yujia Zhao, Biao Huang
Journal of Process Control (2018) Vol. 73, pp. 123-136
Closed Access | Times Cited: 122

Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure
Bingbing Shen, Le Yao, Zhiqiang Ge
Control Engineering Practice (2019) Vol. 94, pp. 104198-104198
Closed Access | Times Cited: 92

Predicting Young's modulus of oxide glasses with sparse datasets using machine learning
Suresh Bishnoi, Sourabh Singh, Ravinder Bhattoo, et al.
Journal of Non-Crystalline Solids (2019) Vol. 524, pp. 119643-119643
Open Access | Times Cited: 89

Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder
Bingbing Shen, Zhiqiang Ge
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 9, pp. 6132-6142
Closed Access | Times Cited: 55

Semi-supervised data modeling and analytics in the process industry: Current research status and challenges
Zhiqiang Ge
IFAC Journal of Systems and Control (2021) Vol. 16, pp. 100150-100150
Closed Access | Times Cited: 40

Identification of Nonlinear State-Space Systems With Skewed Measurement Noises
Xinpeng Liu, Xianqiang Yang
IEEE Transactions on Circuits and Systems I Regular Papers (2022) Vol. 69, Iss. 11, pp. 4654-4662
Closed Access | Times Cited: 36

Variational Identification of Linearly Parameterized Nonlinear State-Space Systems
Xinpeng Liu, Xianqiang Yang
IEEE Transactions on Control Systems Technology (2023) Vol. 31, Iss. 4, pp. 1844-1854
Closed Access | Times Cited: 17

Multimodel Bayesian estimation for LPV time-delay systems with incomplete observations
Xinpeng Liu, Xianqiang Yang
Journal of the Franklin Institute (2024) Vol. 361, Iss. 6, pp. 106673-106673
Closed Access | Times Cited: 6

Parameter identification using transfer learning and influence functions: The case of modeling lithium-ion battery
Xiaojing Ping, Xiaoli Luan, Wei Yu, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115569-115569
Closed Access

Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances
Shijian Dong, Li Yu, Wen‐An Zhang, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 6, pp. 3809-3834
Closed Access | Times Cited: 45

Multi-mode industrial soft sensor method based on mixture Laplace variational auto-encoder
Tianming Zhang, Gaowei Yan, Rong Li, et al.
Measurement (2024) Vol. 229, pp. 114435-114435
Closed Access | Times Cited: 4

Multimodel Approach to Robust Identification of Multiple-Input Single-Output Nonlinear Time-Delay Systems
Xianqiang Yang, Xin Liu, Zhan Li
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 4, pp. 2413-2422
Closed Access | Times Cited: 36

Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking
Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang
Engineering (2021) Vol. 7, Iss. 9, pp. 1248-1261
Open Access | Times Cited: 27

Identification of continuous-time dynamic systems with uncertainties measured by fuzzy sets subject to model structure errors
Jiandong Wang, Xiaotong Xing
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 5, pp. 3293-3300
Closed Access | Times Cited: 3

Gaussian process regression with heteroscedastic noises — A machine-learning predictive variance approach
Zhenxing Li, Xiaodan Hong, Kuangrong Hao, et al.
Process Safety and Environmental Protection (2020) Vol. 157, pp. 162-173
Closed Access | Times Cited: 23

Mixture robust semi-supervised probabilistic principal component regression with missing input data
Alireza Memarian, Santhosh Kumar Varanasi, Biao Huang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 214, pp. 104315-104315
Closed Access | Times Cited: 19

Robust Mixture Probabilistic Partial Least Squares Model for Soft Sensing With Multivariate Laplace Distribution
Xianqiang Yang, Xinpeng Liu, Chao Xu
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-9
Closed Access | Times Cited: 19

A variational Bayesian approach for robust identification of linear parameter varying systems using mixture laplace distributions
Xinpeng Liu, Xianqiang Yang
Neurocomputing (2020) Vol. 395, pp. 15-23
Closed Access | Times Cited: 18

Recursive identification of block-oriented nonlinear systems in the presence of outliers
Vojislav Filipović
Journal of Process Control (2019) Vol. 78, pp. 1-12
Closed Access | Times Cited: 11

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