Zhongdai Wu

813 total citations · 1 hit paper
52 papers, 497 citations indexed

About

Zhongdai Wu is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Zhongdai Wu has authored 52 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ocean Engineering, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Aerospace Engineering. Recurrent topics in Zhongdai Wu's work include Maritime Navigation and Safety (19 papers), Advanced Neural Network Applications (10 papers) and Network Security and Intrusion Detection (7 papers). Zhongdai Wu is often cited by papers focused on Maritime Navigation and Safety (19 papers), Advanced Neural Network Applications (10 papers) and Network Security and Intrusion Detection (7 papers). Zhongdai Wu collaborates with scholars based in China, Taiwan and Australia. Zhongdai Wu's co-authors include Dezhi Han, Bing Han, Shanshan Fu, Kuan‐Ching Li, Bing Han, Junxiang Wang, Mingyang Zhang, Jin Liu, Yue Zhang and Tien‐Hsiung Weng and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhongdai Wu

42 papers receiving 483 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters

2023 67 citations Shanshan Fu, Mingyang Zhang et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhongdai Wu China	12	161	85	73	68	65	52	497
Yue Xu China	13	63 0.4×	116 1.4×	68 0.9×	63 0.9×	25 0.4×	32	483
Chuang Zhang China	14	161 1.0×	140 1.6×	87 1.2×	173 2.5×	15 0.2×	89	608
Liming Zhang China	10	105 0.7×	134 1.6×	30 0.4×	29 0.4×	25 0.4×	58	506
Carlos C. Insaurralde United Kingdom	11	62 0.4×	121 1.4×	28 0.4×	44 0.6×	27 0.4×	90	449
Quan Liu China	14	31 0.2×	83 1.0×	46 0.6×	41 0.6×	116 1.8×	66	607
Muhammad Junaid Khan Pakistan	12	41 0.3×	73 0.9×	40 0.5×	118 1.7×	23 0.4×	43	478
Xianqiao Chen China	10	259 1.6×	75 0.9×	28 0.4×	190 2.8×	13 0.2×	53	522
Jihua Ye China	9	85 0.5×	41 0.5×	12 0.2×	105 1.5×	101 1.6×	44	424
Zhaoyi Xu United States	11	37 0.2×	81 1.0×	18 0.2×	30 0.4×	118 1.8×	36	602

Countries citing papers authored by Zhongdai Wu

Since Specialization

Citations

This map shows the geographic impact of Zhongdai Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhongdai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongdai Wu more than expected).

Fields of papers citing papers by Zhongdai Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongdai Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhongdai Wu. The network helps show where Zhongdai Wu may publish in the future.

Co-authorship network of co-authors of Zhongdai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongdai Wu. A scholar is included among the top collaborators of Zhongdai Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhongdai Wu. Zhongdai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fu, Shanshan, et al.. (2025). A data-driven framework for risk and resilience analysis in maritime transportation systems: A case study of domino effect accidents in arctic waters. Reliability Engineering & System Safety. 260. 111049–111049. 14 indexed citations

Liu, Jin, et al.. (2025). Joint feature representation optimization and anti-occlusion for robust multi-vessel tracking in inland waterways. Complex & Intelligent Systems. 11(7).

Liu, Jin, et al.. (2025). Modeling temporal continuity of spatial interactions for vessel trajectories prediction in maritime transportation systems. Engineering Applications of Artificial Intelligence. 158. 111378–111378.

He, Reqing, et al.. (2025). AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. PLoS ONE. 20(7). e0327362–e0327362. 2 indexed citations

Liu, Jin, et al.. (2024). Learning Dynamic Interactions and Long-Term Patterns With Spatio-Temporal Graphs for Multi-Vessel Trajectory Prediction. IEEE Transactions on Intelligent Vehicles. 9(12). 7765–7780. 5 indexed citations

Liu, Jin, et al.. (2024). VT-3DCapsNet: Visual tempos 3D-Capsule network for video-based facial expression recognition. PLoS ONE. 19(8). e0307446–e0307446. 2 indexed citations

Liu, Jin, et al.. (2024). Goal-driven long-term marine vessel trajectory prediction with a memory-enhanced network. Expert Systems with Applications. 263. 125715–125715. 8 indexed citations

Liu, Jin, et al.. (2024). DCEA: DETR With Concentrated Deformable Attention for End-to-End Ship Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17292–17307. 13 indexed citations

Han, Dezhi, et al.. (2024). SAR-LtYOLOv8: A Lightweight YOLOv8 Model for Small Object Detection in SAR Ship Images. Computer Systems Science and Engineering. 48(6). 1723–1748. 1 indexed citations

10.

Liu, Jin, et al.. (2024). Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 20098–20115. 3 indexed citations

11.

Liu, Jin, et al.. (2024). A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3782–3796. 5 indexed citations

12.

Li, Jialong, et al.. (2024). FL-CGF: An Edge-Federated Learning-Based Intelligent Intrusion Detection Framework for Heterogenous Maritime Internet of Things. 132–136.

13.

Liu, Jin, et al.. (2023). MIRN: A multi-interest retrieval network with sequence-to-interest EM routing. PLoS ONE. 18(2). e0281275–e0281275. 5 indexed citations

14.

Han, Dezhi, Tien‐Hsiung Weng, Zhongdai Wu, et al.. (2023). LMCA: a lightweight anomaly network traffic detection model integrating adjusted mobilenet and coordinate attention mechanism for IoT. Telecommunication Systems. 84(4). 549–564. 70 indexed citations

15.

Liu, Jin, et al.. (2023). Trajectory prediction of seagoing ships in dynamic traffic scenes via a gated spatio-temporal graph aggregation network. Ocean Engineering. 287. 115886–115886. 29 indexed citations

16.

Wang, Hao, et al.. (2023). NAS-YOLOX: ship detection based on improved YOLOX for SAR imagery. 126–131. 3 indexed citations

17.

Wang, Hong, et al.. (2023). Cross-modal knowledge guided model for abstractive summarization. Complex & Intelligent Systems. 10(1). 577–594. 10 indexed citations

18.

Han, Dezhi, et al.. (2023). IFLV: Wireless network intrusion detection model integrating FCN, LSTM, and ViT. 470–475.

19.

Zhang, Xiliang, et al.. (2022). Triple Multimodal Cyclic Fusion and Self-Adaptive Balancing for Video Q&A燬ystems. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 6407–6424. 1 indexed citations

20.

Shen, Xiang, Dezhi Han, Chongqing Chen, Gaofeng Luo, & Zhongdai Wu. (2022). An effective spatial relational reasoning networks for visual question answering. PLoS ONE. 17(11). e0277693–e0277693. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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