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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:

Adaptable automation with modular deep reinforcement learning and policy transfer
Zohreh Raziei, Mohsen Moghaddam
Engineering Applications of Artificial Intelligence (2021) Vol. 103, pp. 104296-104296
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Artificial intelligence in offsite and modular construction research
Sitsofe Kwame Yevu, Karen B. Blay, Kudirat Ayinla, et al.
Automation in Construction (2025) Vol. 171, pp. 105994-105994
Closed Access | Times Cited: 1
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin
Weibin Qu, Jie Li, Rong Zhang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 2021-2043
Closed Access | Times Cited: 23
Deep reinforcement learning in mobile robotics – a concise review
Rayadurga Gnana Prasuna, Sudharsana Rao Potturu
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 70815-70836
Closed Access | Times Cited: 5
A strategy transfer approach for intelligent human-robot collaborative assembly
Qibing Lv, Rong Zhang, Tianyuan Liu, et al.
Computers & Industrial Engineering (2022) Vol. 168, pp. 108047-108047
Closed Access | Times Cited: 26
A transfer reinforcement learning and digital-twin based task allocation method for human-robot collaboration assembly
Jingfei Wang, Yan Yan, Yaoguang Hu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110064-110064
Closed Access
Uncertainty weighted policy optimization based on Bayesian approximation
Tianyi Li, Tianyi Li, Jian Chu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence
Recep Özalp, Ayşegül Uçar, Cüneyt Güzelіș
IEEE Access (2024) Vol. 12, pp. 51840-51858
Open Access | Times Cited: 3
Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture
Mohammad Hossein Modirrousta, Parisa Forghani Arani, Reza Kazemi, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 6, pp. 1467-1484
Open Access | Times Cited: 2
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation
Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109131-109131
Open Access | Times Cited: 2
Cooperative offensive decision-making for soccer robots based on bi-channel Q-value evaluation MADDPG
Lingli Yu, Keyi Li, Shuxin Huo, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105994-105994
Closed Access | Times Cited: 5
Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration
Jialong Gao, Quan Liu, Hao Chen, et al.
(2024)
Open Access | Times Cited: 1
Review on Motion Planning of Robotic Manipulator in Dynamic Environments
Jie Liu, Hwa Jen Yap, Anis Salwa Mohd Khairuddin
Journal of Sensors (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Deep reinforcement learning for gearshift controllers in automatic transmissions
Gerd Gaiselmann, Stefan Altenburg, Stefan Studer, et al.
Array (2022) Vol. 15, pp. 100235-100235
Open Access | Times Cited: 7
Learning-based airborne sensor task assignment in unknown dynamic environments
He Jing, Yuedong Wang, Yan Liang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 111, pp. 104747-104747
Closed Access | Times Cited: 6
Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees
Haiying Wan, Hamid Reza Karimi, Xiaoli Luan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106462-106462
Closed Access | Times Cited: 3
A Fast Optimal Coordination Method for Multiagent in Complex Environment
Suyu Wang, Yue Quan, Mengyu Zhao, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-15
Open Access
Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration
Jialong Gao, Quan Liu, Hao Chen, et al.
Drones (2024) Vol. 8, Iss. 4, pp. 156-156
Open Access
Fuzzy soft deep deterministic policy gradient for distribution-static synchronous compensation of distribution networks
Linjie Huang, Linfei Yin
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109485-109485
Closed Access
Reinforcement Learning based Carbon Nanotube Growth Automation
Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, et al.
(2021), pp. 1-10
Closed Access | Times Cited: 4
Generation Approach of Human-Robot Cooperative Assembly Strategy Based on Transfer Learning
Qibing Lü, Tianyuan Liu, Rong Zhang, et al.
Journal of Shanghai Jiaotong University (Science) (2022) Vol. 27, Iss. 5, pp. 602-613
Closed Access | Times Cited: 2
A Multi-Agent Motion Prediction and Tracking Method Based on Non-Cooperative Equilibrium
Yan Li, Mengyu Zhao, Huazhi Zhang, et al.
Mathematics (2022) Vol. 10, Iss. 1, pp. 164-164
Open Access | Times Cited: 1
Validation Environment for Deep Reinforcement Learning Based Gear Shift Controllers
Stefan Altenburg, Katharina Bause, Albert Albers
Proceedings (2022), pp. 354-368
Closed Access | Times Cited: 1
Q-learning for single-agent and multi-agent and its application
Yiyang Hu, Gefei Yan
2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022) (2022), pp. 165-165
Closed Access | Times Cited: 1
Deep Reinforcement Learning for Gearshift Controllers in Automatic Transmissions
Gerd Gaiselmann, Stefan Altenburg, Stefan Studer, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 1
Policy Generation from Latent Embeddings for Reinforcement Learning
Corentin Artaud, Rafael Pina, Xiyu Shi, et al.
Communications in computer and information science (2023), pp. 155-168
Closed Access
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