Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Liu, Zihao
Wu, Zhaolin
and
Zheng, Zhongyi
2020.
A molecular dynamics approach for modeling the geographical distribution of ship collision risk.
Ocean Engineering,
Vol. 217,
Issue. ,
p.
107991.
Sui, Zhongyi
Wen, Yuanqiao
Huang, Yamin
Zhou, Chunhui
Xiao, Changshi
and
Chen, Hualong
2020.
Empirical analysis of complex network for marine traffic situation.
Ocean Engineering,
Vol. 214,
Issue. ,
p.
107848.
Liu, Zihao
Wu, Zhaolin
Zheng, Zhongyi
Wang, Xin
and
Guedes Soares, C.
2021.
Modelling dynamic maritime traffic complexity with radial distribution functions.
Ocean Engineering,
Vol. 241,
Issue. ,
p.
109990.
Sui, Zhongyi
Huang, Yamin
Wen, Yuanqiao
Zhou, Chunhui
and
Huang, Xi
2021.
Marine traffic profile for enhancing situational awareness based on complex network theory.
Ocean Engineering,
Vol. 241,
Issue. ,
p.
110049.
Гриняк, В.М.
Шуленина, А.В.
Прудникова, Л.И.
and
Девятисильный, А.С.
2021.
Ships route planning on heavy-traffic marine area.
МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ,
Vol. 9,
Issue. 2(33),
p.
18.
Гриняк, В.М.
Grinyak, V.M.
Иваненко, Ю.С.
Ivanenko, Y.S.
Шуленина, А.В.
and
Shulenina, A.V.
2021.
КЛАСТЕРНЫЙ АНАЛИЗ ТРАЕКТОРНЫХ ДАННЫХ ДЛЯ ПЛАНИРОВАНИЯ МАРШРУТОВ СУДОВ ЧЕРЕЗ АКВАТОРИИ С ИНТЕНСИВНЫМ ТРАФИКОМ.
Транспорт: наука, техника, управление,
p.
22.
Grinyak, V M
Shulenina, A V
and
Devyatisilnyi, A S
2022.
Clustering of Marine Vessel Trajectory Data for Routes Planning through Water Areas with Heavy Traffic.
IOP Conference Series: Earth and Environmental Science,
Vol. 988,
Issue. 2,
p.
022054.
Kiykova, E.
Grinyak, V.
and
Kiykova, D.
2022.
SMART Automatics and Energy.
Vol. 272,
Issue. ,
p.
79.
Grinyak, V M
and
Ivanenko, Y S
2022.
Multi-level Model for Ships Risk Assessment by Coastal Vessel Traffic Services.
IOP Conference Series: Earth and Environmental Science,
Vol. 988,
Issue. 2,
p.
022081.
Liu, Zihao
Wu, Zhaolin
Zheng, Zhongyi
and
Yu, Xianda
2022.
A Molecular Dynamics Approach to Identify the Marine Traffic Complexity in a Waterway.
Journal of Marine Science and Engineering,
Vol. 10,
Issue. 11,
p.
1678.
Sui, Zhongyi
Wen, Yuanqiao
Zhou, Chunhui
Huang, Xi
Zhang, Qi
Liu, Zhehui
and
Piera, Miquel Angel
2022.
An improved approach for assessing marine traffic complexity based on Voronoi diagram and complex network.
Ocean Engineering,
Vol. 266,
Issue. ,
p.
112884.
Pu, Tianyu
2023.
Mining and Analysis of the Traffic Information Situation in the South China Sea Based on Satellite AIS Data.
International Journal of Data Warehousing and Mining,
Vol. 19,
Issue. 4,
p.
1.
Zou, Yiyang
Zhang, Yingjun
Wang, Shaobo
Jiang, Zhiyuan
and
Wang, Xiaohui
2024.
Ship regulatory method for maritime mixed traffic scenarios based on key risk ship identification.
Ocean Engineering,
Vol. 298,
Issue. ,
p.
117105.
Ji, Zhe
Zhang, Yingjun
Wang, Fengwu
Yang, Jiahui
and
Zou, Yiyang
2024.
Identification of multi-ship maritime traffic situation based on ship traffic complexity measurement model.
Ocean Engineering,
Vol. 301,
Issue. ,
p.
117442.
Cheng, Xiaodong
Sui, Zhongyi
Wen, Yuanqiao
and
Han, Dong
2024.
An improved maritime traffic situation complexity model for intelligent maritime management in the inland ferry area.
Computers and Electrical Engineering,
Vol. 119,
Issue. ,
p.
109612.