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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A data mining method to extract traffic network for maritime transport management
Zhao Liu, Hairuo Gao, Mingyang Zhang, et al.
Ocean & Coastal Management (2023) Vol. 239, pp. 106622-106622
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL
Jiahui Shi, Zhengjiang Liu, Yinwei Feng, et al.
Ocean Engineering (2024) Vol. 305, pp. 117965-117965
Open Access | Times Cited: 23
Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model
Chenyan Lin, Zhen Rong, Yanting Tong, et al.
Ocean Engineering (2024) Vol. 296, pp. 117019-117019
Closed Access | Times Cited: 10
Complex network-based risk analysis for maritime heavy casualties in China during 2012–2021
Weiliang Qiao, Hongtongyang Guo, Wanyi Deng, et al.
Ocean Engineering (2024) Vol. 308, pp. 118258-118258
Closed Access | Times Cited: 10
A spatial-temporal data mining method for the extraction of vessel traffic patterns using AIS data
Jiaxuan Yang, Xingpei Bian, Yuhao Qi, et al.
Ocean Engineering (2024) Vol. 293, pp. 116454-116454
Open Access | Times Cited: 9
Vessel turnaround time prediction: A machine learning approach
Zhong Chu, Ran Yan, Shuaian Wang
Ocean & Coastal Management (2024) Vol. 249, pp. 107021-107021
Closed Access | Times Cited: 9
A data mining-then-predict method for proactive maritime traffic management by machine learning
Zhao Liu, Wanli Chen, Cong Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108696-108696
Open Access | Times Cited: 9
PSO-Based Predictive PID-Backstepping Controller Design for the Course-Keeping of Ships
Bowen Lin, Mao Zheng, Bing Han, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 2, pp. 202-202
Open Access | Times Cited: 5
Port State Control Inspections under the Paris Memorandum of Understanding and Their Contribution to Maritime Safety: Additional Risk Classifications and Indicators Using Multivariate Techniques
David Almorza Gomar, José Manuel Celorio Prieto, Víctor Amor‐Esteban, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 533-533
Open Access | Times Cited: 5
Development of a Multidimensional Analysis and Integrated Visualization Method for Maritime Traffic Behaviors Using DBSCAN-Based Dynamic Clustering
Daehan Lee, Da-Un Jang, Sang-Lok Yoo
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 529-529
Open Access
Research on the Pattern and Evolution Characteristics of Global Dry Bulk Shipping Network Driven by Big Data
Haijiang Li, Xin Zhang, Peng Jia, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 1, pp. 147-147
Open Access
Assessing the structural resilience of the global crude oil maritime transportation network: A motif-based approach from network to ports
Ruibin Si, Peng Jia, Haijiang Li, et al.
Journal of Transport Geography (2025) Vol. 123, pp. 104123-104123
Closed Access
Identifying influential ships in multi-ship encounter situation complex network based on improved WVoteRank approach
Yanting Tong, Zhen Rong, Han Dong, et al.
Ocean Engineering (2023) Vol. 284, pp. 115192-115192
Closed Access | Times Cited: 13
A novel deterministic search-based algorithm for multi-ship collaborative collision avoidance decision-making
Zhen Rong, Ziqiang Shi, Qiyong Gu, et al.
Ocean Engineering (2023) Vol. 292, pp. 116524-116524
Closed Access | Times Cited: 13
An approach for traffic pattern recognition integration of ship AIS data and port geospatial features
Gaocai Li, Xinyu Zhang, Lingling Jiang, et al.
Geo-spatial Information Science (2024), pp. 1-28
Open Access | Times Cited: 3
Dynamics collision risk evaluation and early alert in busy waters: A spatial-temporal coupling approach
Yang Chen, Zhao Liu, Mingyang Zhang, et al.
Ocean Engineering (2024) Vol. 300, pp. 117315-117315
Closed Access | Times Cited: 3
A novel algorithm for ship characteristic points extraction based on density clustering
Weifeng Li, Haoda Zhang, Guoyou Shi, et al.
Journal of Marine Engineering & Technology (2024) Vol. 23, Iss. 4, pp. 281-290
Closed Access | Times Cited: 3
AIS Data for Building a Transport Maritime Network: A Pilot Study in the Strait of Messina (Italy)
Corrado Rindone
Lecture notes in computer science (2024), pp. 213-226
Closed Access | Times Cited: 3
A novel method for the evaluation of ship berthing risk using AIS data
Bowen Lin, Mao Zheng, Xiumin Chu, et al.
Ocean Engineering (2023) Vol. 293, pp. 116595-116595
Closed Access | Times Cited: 8
Development and Application of an Advanced Automatic Identification System (AIS)-Based Ship Trajectory Extraction Framework for Maritime Traffic Analysis
I. J. Huang, Man-Chun Lee, Li Chang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1672-1672
Open Access | Times Cited: 2
Graph Signal Variation Detection: A novel approach for identifying and reconstructing ship AIS tangled trajectories
Chuiyi Deng, Shuangxin Wang, Jingyi Liu, et al.
Ocean Engineering (2023) Vol. 286, pp. 115452-115452
Closed Access | Times Cited: 6
A Ship State Recognition Method Based on Graph Convolutional Neural Network
Lin Ma, Hao Cao, Guoyou Shi, et al.
(2024)
Open Access | Times Cited: 1
Identification of Maritime Areas With High Vessel Traffic Based on Polygon Shape Similarity
Hak-Chan Kim, Woo-Ju Son, Jeong-Seok Lee, et al.
IEEE Access (2024) Vol. 12, pp. 92253-92267
Open Access | Times Cited: 1
MATNEC: AIS data-driven environment-adaptive maritime traffic network construction for realistic route generation
Nikolaj Bläser, Búgvi Benjamin Magnussen, Gabriel Fuentes, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 169, pp. 104853-104853
Open Access | Times Cited: 1
A machine learning method for the recognition of ship behavior using AIS data
Quandang Ma, S. Lian, Jinfen Zhang, et al.
Ocean Engineering (2024) Vol. 315, pp. 119791-119791
Open Access | Times Cited: 1
Adaptive genetic algorithm-optimized temporal convolutional networks for high-precision ship traffic flow prediction
Yunfan Li, Haijun Wang
Evolving Systems (2024) Vol. 16, Iss. 1
Closed Access | Times Cited: 1
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