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Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles

Overview of attention for article published in Chinese Journal of Mechanical Engineering, August 2021
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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15 Mendeley
Title
Energy-Optimal Braking Control Using a Double-Layer Scheme for Trajectory Planning and Tracking of Connected Electric Vehicles
Published in
Chinese Journal of Mechanical Engineering, August 2021
DOI 10.1186/s10033-021-00601-3
Authors

Haoxuan Dong, Weichao Zhuang, Guodong Yin, Liwei Xu, Yan Wang, Fa’an Wang, Yanbo Lu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Researcher 1 7%
Lecturer 1 7%
Unknown 11 73%
Readers by discipline Count As %
Engineering 3 20%
Unknown 12 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Chinese Journal of Mechanical Engineering
#41
of 56 outputs
Outputs of similar age
#310,968
of 429,160 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 1 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 56 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them