Zuojun Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zuojun Wang has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
Lin Xu
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
3 shared publicationsLinlin Wang
Department of Neurology, Tianjin First Central Hospital, Tianjin, China
3 shared publicationsRong Xue
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
3 shared publicationsZhu Ai
Department of Neurology, NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
3 shared publicationsLili Li
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
2 shared publicationsRuilin Zhang
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
2 shared publications
Latest Publications
- 25 February 2025
- Published by Elsevier in Sleep Medicine
- Vol. 129, 122-130
Regional cerebral blood perfusion impairment in type 1 narcolepsy patients: An arterial spin labeling study
- 25 February 2025
- Published by Elsevier in Sleep Medicine
- Vol. 129, 122-130
Regional cerebral blood perfusion impairment in type 1 narcolepsy patients: An arterial spin labeling study
- Open Access
- 14 January 2025
- Published by MDPI AG in Electronics
- Vol. 14 (2) , 304
A Multi-Regime Car-Following Model Capturing Traffic Breakdown
Traffic breakdown refers to the first-order transition from free flow to synchronized flow. It is characterized by a rapid decrease in speed, suddenly increasing density, and abruptly plummeting capacity in most of the relevant observations. To understand its cause and model its empirical observations, a multi-regime car-following model is proposed, which classifies the car-following state into four regimes, i.e., Free driving, High-speed following, Low-speed following, and Emergency. Simulation results demonstrate that traffic breakdown and spontaneous jam formation can be reproduced simultaneously by the new model. Experimental verification has shown that the new model can successfully simulate the observed concave growth pattern of traffic oscillations.
- 14 January 2025
- Published by MDPI AG in Electronics
- Vol. 14 (2) , 304
Open AccessA Multi-Regime Car-Following Model Capturing Traffic Breakdown
Traffic breakdown refers to the first-order transition from free flow to synchronized flow. It is characterized by a rapid decrease in speed, suddenly increasing density, and abruptly plummeting capacity in most of the relevant observations. To understand its cause and model its empirical observations, a multi-regime car-following model is proposed, which classifies the car-following state into four regimes, i.e., Free driving, High-speed following, Low-speed following, and Emergency. Simulation results demonstrate that traffic breakdown and spontaneous jam formation can be reproduced simultaneously by the new model. Experimental verification has shown that the new model can successfully simulate the observed concave growth pattern of traffic oscillations.
- Open Access
- 30 October 2024
- Published by Elsevier in NeuroImage: Clinical
- Vol. 44, 103697
The brain topological alterations in the structural connectome and correlations with clinical characteristics in type 1 narcolepsy
- 30 October 2024
- Published by Elsevier in NeuroImage: Clinical
- Vol. 44, 103697
Open AccessThe brain topological alterations in the structural connectome and correlations with clinical characteristics in type 1 narcolepsy
- Open Access
- 10 October 2023
- Published by Elsevier in Academic Radiology
- Vol. 31 (1) , 69-81
Resting-State Functional Magnetic Resonance Imaging as an Indicator of Neuropsychological Changes in Type 1 Narcolepsy
- 10 October 2023
- Published by Elsevier in Academic Radiology
- Vol. 31 (1) , 69-81
Open AccessResting-State Functional Magnetic Resonance Imaging as an Indicator of Neuropsychological Changes in Type 1 Narcolepsy