The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cognitive Internet of Vehicles
Overview
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Citations
Cites
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Self-citationCar that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Jain, A., Koppula, H. S., Raghavan, B., Soh, S., & Saxena, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.364 · Cited by 274
Green data center with IoT sensing and cloud-assisted smart temperature control system
Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., & Peng, L. (2016) · Computer Networks · doi:10.1016/j.comnet.2015.11.024 · Cited by 118
Cited by
Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., Alkhateeb, A., & Trichopoulos, G. C. (2019) · IEEE Access · doi:10.1109/access.2019.2921522 · Cited by 2,617
Cognitive Computing: Architecture, Technologies and Intelligent Applications
Chen, M., Herrera, F., & Hwang, K. (2018) · IEEE Access · doi:10.1109/access.2018.2791469 · Cited by 242
Self-citationInternet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects
Qureshi, K. N., Din, S., Jeon, G., & Piccialli, F. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2994972 · Cited by 169
iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing
Hu, L., Miao, Y., Wu, G., Hassan, M. M., & Humar, I. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.08.006 · Cited by 160
Self-citationKanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics · doi:10.3390/electronics12112490 · Cited by 120
Metadata
- Authors
- Chen, M., Tian, Y., Fortino, G., Zhang, J., & Humar, I.
- Venue
- Computer Communications
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 120
- Pages
- 58-70
- ISSN
- 0140-3664 (ISSN-L)
- OpenAlex
- W2792149140
- Cited by
- 237
- References
- 4
- FWCI
- 14.96
- 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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- This page
- CoChat. (2026). Citation check: Cognitive Internet of Vehicles. https://app.cochat.ai/papers/10.1016/j.comcom.2018.02.006
- The paper
- Chen, M., Tian, Y., Fortino, G., Zhang, J., & Humar, I. (2018). Cognitive Internet of Vehicles. Computer Communications. https://doi.org/10.1016/j.comcom.2018.02.006
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.
