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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:

Neural Network-Based Hybrid Position/Force Tracking Control for Robotic Systems Without Velocity Measurement
Jinzhu Peng, Shimin Shuai, Zeqi Yang, et al.
Neural Processing Letters (2019) Vol. 51, Iss. 2, pp. 1125-1144
Closed Access | Times Cited: 19

Showing 19 citing articles:

Hybrid force/position control in workspace of robotic manipulator in uncertain environments based on adaptive fuzzy control
Ziling Wang, Lai Zou, Xiaojie Su, et al.
Robotics and Autonomous Systems (2021) Vol. 145, pp. 103870-103870
Closed Access | Times Cited: 42
Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation
Shuai Ding, Jinzhu Peng, Hui Zhang, et al.
Neurocomputing (2021) Vol. 458, pp. 99-111
Closed Access | Times Cited: 29
Event-Triggered Adaptive Neural Impedance Control of Robotic Systems
Shuai Ding, Jinzhu Peng, Hui Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14330-14340
Closed Access | Times Cited: 7
An Adaptive Robust Hybrid Force/Position Control for Robot Manipulators System Subject to Mismatched and Matched Disturbances
Chengxing Lv, Gang Chen, Zhao Hua-min, et al.
IEEE Access (2024) Vol. 12, pp. 42264-42278
Open Access | Times Cited: 2
Superiority of q-Chlodowsky operators versus fuzzy systems and neural networks: Application to adaptive impedance control of electrical manipulators
Alireza Izadbakhsh, Ali Deylami, Saeed Khorashadizadeh
Expert Systems with Applications (2022) Vol. 209, pp. 118249-118249
Closed Access | Times Cited: 12
Adaptive fixed‐time minimal learning force/position control of uncertain manipulators subject to input saturation
Yuxiang Wu, Haoran Fang, Tian Xu, et al.
International Journal of Adaptive Control and Signal Processing (2023) Vol. 37, Iss. 3, pp. 790-810
Closed Access | Times Cited: 4
Adaptive Passivity-based Hybrid Pose/Force Control for Uncertain Robots
Antonio C. Leite, Francisco L. De la Cruz, Fernando Lizarralde
IFAC-PapersOnLine (2020) Vol. 53, Iss. 2, pp. 3854-3860
Open Access | Times Cited: 7
RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks
Songfu Cai, Vincent K. N. Lau
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 14, pp. 11177-11192
Closed Access | Times Cited: 6
Application of Soft Actuation to Bilateral Control and Haptic Reproduction
Asif Şabanoviç, Tarik Uzunović, Eray A. Baran, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 3, pp. 992-1001
Closed Access | Times Cited: 4
State Machine-Based Hybrid Position/Force Control Architecture for a Waste Management Mobile Robot with 5DOF Manipulator
Alexandru Gal, Alexandra-Cătălina Ciocîrlan, Mihai Mărgăritescu
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4222-4222
Open Access | Times Cited: 5
Coupled Force–Position Control for Dynamic Contact Force Tracking in Uncertain Environment
Xiaogang Song, Bing Li, Wenfu Xu, et al.
Actuators (2022) Vol. 11, Iss. 6, pp. 150-150
Open Access | Times Cited: 3
Better decision-making strategy with target seeking approach of humanoids using hybridized SOARANN-fuzzy technique
Manoj Kumar Muni, Saroj Kumar, Chinmaya Sahu, et al.
Journal of Computational Science (2023) Vol. 70, pp. 102026-102026
Closed Access | Times Cited: 1
Probability Plot Result Comparison with Recurrent Neural Network Approach for Path Navigation of a Humanoid in Complex Terrain
Manoj Kumar Muni, Dayal R. Parhi, Priyadarshi Biplab Kumar, et al.
Lecture notes in mechanical engineering (2021), pp. 579-588
Closed Access | Times Cited: 2
Observer-Based Adaptive Impedance Control for Robotic Systems With Predefined Task Space
Shuai Ding, Jinzhu Peng, Zhiqiang Wang, et al.
2021 China Automation Congress (CAC) (2021)
Closed Access | Times Cited: 2
Neural Network-based Hybrid Position/Force Tracking Control for Flexible Joint Robot
Shuai Ding, Jinzhu Peng, Yixin Hou, et al.
2022 IEEE International Systems Conference (SysCon) (2020)
Closed Access | Times Cited: 1
Vision-Based Virtual Impedance Control for Robotic System Without Prespecified Task Trajectory
Shuai Ding, Jinzhu Peng, Jianbin Xin, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 6, pp. 6046-6056
Closed Access | Times Cited: 1
Neural Adaptive Control for Robotic Systems With Saturation and Disturbance
Shuai Ding, Jinzhu Peng, Yan Liu, et al.
2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE) (2023), pp. 242-247
Closed Access
Neural Network-Based Joint Velocity Estimation Method for Improving Robot Control Performance
Dongwhan Kim, Soonwook Hwang, Myo Taeg Lim, et al.
IEEE Access (2023) Vol. 11, pp. 130517-130526
Open Access
Neural network-based adaptive sliding mode control for multi-joint manipulator
Hejia Gao, Junjie Zhao, Juqi Hu
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2023) Vol. 14, pp. 248-253
Closed Access
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