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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:

Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
IEEE Access (2021) Vol. 9, pp. 148783-148799
Open Access | Times Cited: 13

Showing 13 citing articles:

Supply chain network design concerning economy and environmental sustainability: Crisis perspective
Sina Abbasi, Solmaz Abbaspour, Mohammad Eskandari Nasab Siahkoohi, et al.
Results in Engineering (2024) Vol. 22, pp. 102291-102291
Open Access | Times Cited: 12
An Optimal Solution to the Overfitting and Underfitting Problem of Healthcare Machine Learning Models
Anil Kumar Prajapati, Umesh Kumar Singh
Journal of Systems Engineering and Information Technology (JOSEIT) (2023) Vol. 2, Iss. 2, pp. 77-84
Open Access | Times Cited: 5
Sparse representation learning with modified q-VAE towards minimal realization of world model
Taisuke Kobayashi, Ryoma Watanuki
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 807-827
Open Access | Times Cited: 4
Autonomous Driving of Personal Mobility by Imitation Learning from Small and Noisy Dataset
Taisuke Kobayashi, Takahito Enomoto
2022 IEEE/SICE International Symposium on System Integration (SII) (2024), pp. 404-409
Closed Access | Times Cited: 1
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
Taisuke Kobayashi
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 22, pp. 1-8
Closed Access | Times Cited: 1
Latent Representation in Human–Robot Interaction With Explicit Consideration of Periodic Dynamics
Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 5, pp. 928-940
Open Access | Times Cited: 7
Applied Machine Learning in Industry 4.0: Case-Study Research in Predictive Models for Black Carbon Emissions
Javier Rubio‐Loyola, Wolph Ronald Shwagger Paul-Fils
Sensors (2022) Vol. 22, Iss. 10, pp. 3947-3947
Open Access | Times Cited: 7
Reward bonuses with gain scheduling inspired by iterative deepening search
Taisuke Kobayashi
Results in Control and Optimization (2023) Vol. 12, pp. 100244-100244
Open Access | Times Cited: 3
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
Taisuke Kobayashi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 4032-4039
Open Access | Times Cited: 4
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning
Takumi Aotani, Taisuke Kobayashi
2022 IEEE/SICE International Symposium on System Integration (SII) (2024), pp. 959-964
Closed Access
From Single Shot to Structure: End-to-End Network-Based Deflectometry for Specular Free-Form Surface Reconstruction
M.Hadi Sepanj, Saed Moradi, Amir Nazemi, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10824-10824
Open Access
Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency
Taisuke Kobayashi, Takumi Aotani
Advanced Robotics (2023) Vol. 37, Iss. 12, pp. 719-736
Closed Access | Times Cited: 1
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Taisuke Kobayashi, Takahito Enomoto
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
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