The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Robot manipulator control using neural networks: A survey
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Reinforcement learning in robotics: A survey
Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913495721 · Cited by 3,160
Disturbance-Observer-Based Control and Related Methods—An Overview
Chen, W.-H., Yang, J., Guo, L., & Li, S. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2478397 · Cited by 2,985
Self-citationA Novel Connectionist System for Unconstrained Handwriting Recognition
Graves, A., Liwicki, M., Fernandez, S., Bertolami, R., Bunke, H., & Schmidhuber, J. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.137 · Cited by 1,983
Central pattern generators for locomotion control in animals and robots: A review
Ijspeert, A. J. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.03.014 · Cited by 1,853
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, W., Chen, Y., & Yin, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,273
GHOSH-DASTIDAR, S., & ADELI, H. (2009) · International Journal of Neural Systems · doi:10.1142/s0129065709002002 · Cited by 1,057
A multilayered neural network controller
Psaltis, D., Sideris, A., & Yamamura, A. A. (1988) · IEEE Control Systems Magazine · doi:10.1109/37.1868 · Cited by 1,056
Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation
He, W., Dong, Y., & Sun, C. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2429555 · Cited by 790
Wang, L., Chai, T., & Zhai, L. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2011350 · Cited by 595
Metadata
- Authors
- Jin, L., Li, S., Yu, J., & He, J.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 285
- Pages
- 23-34
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2792852625
- Cited by
- 313
- References
- 77
- FWCI
- 21.92
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Robot manipulator control using neural networks: A survey. https://app.cochat.ai/papers/10.1016/j.neucom.2018.01.002
- The paper
- Jin, L., Li, S., Yu, J., & He, J. (2018). Robot manipulator control using neural networks: A survey. Neurocomputing. https://doi.org/10.1016/j.neucom.2018.01.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
