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:

Obtaining Human Experience for Intelligent Dredger Control: A Reinforcement Learning Approach
Changyun Wei, Fusheng Ni, Xiujing Chen
Applied Sciences (2019) Vol. 9, Iss. 9, pp. 1769-1769
Open Access | Times Cited: 16

Showing 16 citing articles:

Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy
Junlang Yuan, Ke Yang, Taiwei Yang, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 598-598
Open Access

Research on predicting the productivity of cutter suction dredgers based on data mining with model stacked generalization
Bin Wang, Shidong Fan, Pan Jiang, et al.
Ocean Engineering (2020) Vol. 217, pp. 108001-108001
Closed Access | Times Cited: 31

Model predictive control for slurry pipeline transportation of a cutter suction dredger
Changyun Wei, Yi Wei, Ze Ji
Ocean Engineering (2021) Vol. 227, pp. 108893-108893
Open Access | Times Cited: 19

A Novel Method with Stacking Learning of Data-Driven Soft Sensors for Mud Concentration in a Cutter Suction Dredger
Bin Wang, Shidong Fan, Pan Jiang, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6075-6075
Open Access | Times Cited: 15

The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process
Bin Wang, Shidong Fan, Yong Chen, et al.
Measurement (2021) Vol. 189, pp. 110523-110523
Closed Access | Times Cited: 13

Human operator decision support for highly transient industrial processes: a reinforcement learning approach
Jianqi Ruan, Bob Nooning, Ivan Parkes, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1

Learning manipulation skills with demonstrations for the swing process control of dredgers
Changyun Wei, Haonan Bai, Yi Wei, et al.
Ocean Engineering (2022) Vol. 246, pp. 110545-110545
Open Access | Times Cited: 7

Productivity regression analysis of cutter suction dredger considering operating characteristics and equipment status
Gang Shang, Liyun Xu, Jinzhu Tian, et al.
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2022) Vol. 237, Iss. 2, pp. 406-419
Closed Access | Times Cited: 3

Special Issue on Advances in Deep Learning
Diego Gragnaniello, A. Bottino, Sandro Cumani, et al.
Applied Sciences (2020) Vol. 10, Iss. 9, pp. 3172-3172
Open Access | Times Cited: 3

Applying a Deep Q-Network for Human Operator Behavioral Modeling and Decision Support in a Twin-Roll Casting Process
Jianqi Ruan, Michael Ponder, Ivan Parkes, et al.
2022 American Control Conference (ACC) (2022), pp. 689-696
Closed Access | Times Cited: 2

A Study on AI-based SW Similarity Detection Model Design
Chulbum Ahn, Jin‐Hong Kim
Journal of Software Assessment and Valuation (2023) Vol. 19, Iss. 1, pp. 39-44
Open Access

Automatic safety helmet detection with Machine Learning
Hyun‐A Kim, Kyu-Tea Lee
Journal of Software Assessment and Valuation (2023) Vol. 19, Iss. 1, pp. 53-59
Open Access

Offline Model-Free Reinforcement Learning with a Recurrent Augmented Dataset for Highly Transient Industrial Processes
Jianqi Ruan, Uduak Inyang-Udohl, Bob Nooning, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-7
Closed Access

A Training-Free Data-Driven Method for Input-Output Modeling of Complex Processes
Jianqi Ruan, Bob Nooning, Ivan Parkes, et al.
IFAC-PapersOnLine (2022) Vol. 55, Iss. 37, pp. 92-98
Open Access

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