Chengbo Wang

1.5k total citations · 1 hit paper
81 papers, 1.0k citations indexed

About

Chengbo Wang is a scholar working on Ocean Engineering, Industrial and Manufacturing Engineering and Environmental Engineering. According to data from OpenAlex, Chengbo Wang has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ocean Engineering, 14 papers in Industrial and Manufacturing Engineering and 11 papers in Environmental Engineering. Recurrent topics in Chengbo Wang's work include Maritime Navigation and Safety (28 papers), Maritime Transport Emissions and Efficiency (9 papers) and Maritime Ports and Logistics (8 papers). Chengbo Wang is often cited by papers focused on Maritime Navigation and Safety (28 papers), Maritime Transport Emissions and Efficiency (9 papers) and Maritime Ports and Logistics (8 papers). Chengbo Wang collaborates with scholars based in China, United Kingdom and Singapore. Chengbo Wang's co-authors include Xinyu Zhang, Lingling Jiang, Rui Yang, Xiang Chen, Yuanchang Liu, Zaili Yang, Musa Bashir, Jiju Antony, James T. Luxhøj and Daniel Perry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Chengbo Wang

72 papers receiving 958 citations

Hit Papers

Collision-avoidance navigation systems for Maritime Auton... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengbo Wang China 18 514 185 168 148 119 81 1.0k
Liye Zhang China 18 726 1.4× 245 1.3× 64 0.4× 196 1.3× 270 2.3× 52 1.6k
Ulrich Weidmann Switzerland 18 515 1.0× 277 1.5× 61 0.4× 46 0.3× 622 5.2× 106 1.4k
Olumide F. Abioye United States 16 218 0.4× 345 1.9× 21 0.1× 191 1.3× 132 1.1× 17 805
Xiao‐Bing Hu United Kingdom 16 77 0.1× 212 1.1× 103 0.6× 38 0.3× 85 0.7× 57 981
Yadong Wang China 23 232 0.5× 815 4.4× 66 0.4× 714 4.8× 149 1.3× 59 1.3k
Masoud Kavoosi United States 15 165 0.3× 345 1.9× 20 0.1× 204 1.4× 103 0.9× 17 736
Mingheng Zhang China 15 137 0.3× 222 1.2× 160 1.0× 64 0.4× 449 3.8× 61 1.2k
Glaydston Mattos Ribeiro Brazil 23 90 0.2× 715 3.9× 71 0.4× 152 1.0× 212 1.8× 88 1.5k
Symeon E. Christodoulou Cyprus 26 221 0.4× 126 0.7× 29 0.2× 265 1.8× 37 0.3× 81 1.6k
Yunyun Niu China 17 124 0.2× 225 1.2× 50 0.3× 29 0.2× 43 0.4× 57 897

Countries citing papers authored by Chengbo Wang

Since Specialization
Citations

This map shows the geographic impact of Chengbo Wang'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 Chengbo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengbo Wang more than expected).

Fields of papers citing papers by Chengbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chengbo Wang. 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 Chengbo Wang. The network helps show where Chengbo Wang may publish in the future.

Co-authorship network of co-authors of Chengbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengbo Wang. A scholar is included among the top collaborators of Chengbo Wang 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 Chengbo Wang. Chengbo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Zaili, et al.. (2025). Optimization of integrated accurate ride-tide planning and vessel scheduling in multi-functional ports with long channels. Expert Systems with Applications. 273. 126894–126894.
2.
Zhang, Xinyu, et al.. (2024). A machine learning-based adaptive heuristic for vessel scheduling problem under uncertainty via chance-constrained programming. Computers & Electrical Engineering. 119. 109523–109523. 3 indexed citations
3.
Zhang, Xinyu, et al.. (2024). Adaptive collision avoidance decisions in autonomous ship encounter scenarios through rule-guided vision supervised learning. Ocean Engineering. 297. 117096–117096. 18 indexed citations
4.
Zhou, Chao, et al.. (2024). Free vibration of non-Lévy-type rectangular line-hinged plates: Analytical solutions in the symplectic framework. Thin-Walled Structures. 198. 111692–111692. 4 indexed citations
5.
Wang, Chengbo, Xinyu Zhang, Hongbo Gao, et al.. (2024). Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety. Ocean & Coastal Management. 253. 107161–107161. 32 indexed citations
6.
Wang, Chengbo, Xinyu Zhang, Hongbo Gao, et al.. (2024). COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making. Knowledge-Based Systems. 300. 112205–112205. 20 indexed citations
7.
Wang, Chengbo, et al.. (2024). A Hierarchy-Aware Geocoding Model Based on Cross-Attention within the Seq2Seq Framework. ISPRS International Journal of Geo-Information. 13(4). 135–135. 1 indexed citations
8.
Zhang, Xinyu, et al.. (2024). Ship Anomalous Behavior Detection in Port Waterways Based on Text Similarity and Kernel Density Estimation. Journal of Marine Science and Engineering. 12(6). 968–968. 1 indexed citations
9.
Wang, Chengbo, et al.. (2023). Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation. Frontiers in Marine Science. 9. 45 indexed citations
10.
Zhang, Xinyu, et al.. (2023). A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning. Ocean & Coastal Management. 242. 106689–106689. 30 indexed citations
11.
Lei, Changkui, et al.. (2023). Study on Multifield Migration and Evolution Law of the Oxidation Heating Process of Coal Spontaneous Combustion in Dynamic Goaf. ACS Omega. 8(15). 14197–14207. 14 indexed citations
12.
Li, Penghui, et al.. (2023). Car‐following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning. CAAI Transactions on Intelligence Technology. 9(2). 365–373. 1 indexed citations
13.
14.
Zhang, Xinyu, et al.. (2022). Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model. Journal of Marine Science and Engineering. 10(12). 2012–2012. 13 indexed citations
15.
Ma, Limei, Chengbo Wang, Kai Wang, et al.. (2022). Chemical constituents from the roots of Zanthoxylum bungeanum Maxim. and their neuroprotective activities. Fitoterapia. 163. 105337–105337. 1 indexed citations
16.
Wang, Chengbo, et al.. (2021). Navigation Situation Adaptive Learning-Based Path Planning of Maritime Autonomous Surface Ships. 342–347. 2 indexed citations
17.
Song, Guanghui, et al.. (2020). Research of the course design based on project-based learning for college computer major. 435–439. 4 indexed citations
18.
Wang, Chengbo, et al.. (2018). Method for intelligent obstacle avoidance decision-making of unmanned vessel in unknown waters. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Wang, Chengbo, et al.. (2010). A Comparison of Supply Chain Decision-Making Factors between Foreign and Local Retailers in Taiwan. Research Repository (University of Gloucestershire). 2 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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