36 citations as recorded by crossref.

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3. Projection of ship emissions and their impact on air quality in 2030 in Yangtze River delta, China J. Zhao et al. 10.1016/j.envpol.2020.114643
4. Ship emissions around China under gradually promoted control policies from 2016 to 2019 X. Wang et al. 10.5194/acp-21-13835-2021
5. Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development W. Xie et al. 10.3389/fmars.2023.1308981
6. Significant contribution of inland ships to the total NOx emissions along the Yangtze River X. Zhang et al. 10.5194/acp-23-5587-2023
7. Impact of air emissions from shipping on marine phytoplankton growth C. Zhang et al. 10.1016/j.scitotenv.2021.145488
8. Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 Y. Bian et al. 10.5194/acp-19-11701-2019
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10. Characterization of VOC emissions from construction machinery and river ships in the Pearl River Delta of China R. Wang et al. 10.1016/j.jes.2020.03.013
11. Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
12. Assessment of Shipping Emissions on Busan Port of South Korea J. Kwon et al. 10.3390/jmse11040716
13. Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
14. A Bibliometric Analysis of Green Shipping: Research Progress and Challenges for Sustainable Maritime Transport J. Mi et al. 10.3390/jmse12101787
15. Comparative Analysis, Use Recommendations, and Application Cases of Methods for Develop Ship Emission Inventories Y. Li et al. 10.3390/atmos13081224
16. Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang 10.1016/j.marpolbul.2023.115968
17. Role of export industries on ozone pollution and its precursors in China J. Ou et al. 10.1038/s41467-020-19035-x
18. Assessing the impact of COVID-19 on air pollutant emissions from vessels in Lianyungang Port Q. Wang et al. 10.1016/j.marpolbul.2023.115313
19. Exploring the effectiveness of ECA policies in reducing pollutant emissions from merchant ships in Shanghai port waters K. Shi et al. 10.1016/j.marpolbul.2020.111164
20. Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality J. Zhao et al. 10.1029/2020JD033984
21. Multiple-Year Changes (2014–2018) in Particulate Vanadium Linked to Shipping Regulations in the World’s Largest Port Region K. Cheng et al. 10.1021/acsearthspacechem.1c00402
22. Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. 10.1016/j.cities.2024.104871
23. High PM2.5 Emission from Typical Old, Small Fishing Vessels in China L. Wang et al. 10.1021/acs.estlett.1c00927
24. Air quality improvement via modal shift: Assessment of rail-water-port integrated system planning in Shenzhen, China J. Zhang et al. 10.1016/j.scitotenv.2021.148158
25. Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port Y. Li et al. 10.3389/fmars.2023.1174411
26. Mitigation strategies of air pollution: case studies of China and the United States from a consumption perspective Y. Jiang et al. 10.1016/j.envsci.2021.11.004
27. Emission and influences of non-road mobile sources on air quality in China, 2000–2019 C. Wen et al. 10.1016/j.envpol.2023.121404
28. Assessing the co-benefits of emission reduction measures in transportation sector: A case study in Guangdong, China M. Hu et al. 10.1016/j.uclim.2023.101619
29. Polycyclic aromatic hydrocarbon contaminations along shipping lanes and implications of seafarer exposure: Based on PAHs in ship surface films and a film-air-water fugacity model P. Su et al. 10.1016/j.scitotenv.2020.138943
30. An updated model-ready emission inventory for Guangdong Province by incorporating big data and mapping onto multiple chemical mechanisms Z. Huang et al. 10.1016/j.scitotenv.2020.144535
31. A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China H. Zhong et al. 10.1016/j.oceaneng.2020.107859
32. Estimation of the Non-Greenhouse Gas Emissions Inventory from Ships in the Port of Incheon H. Lee et al. 10.3390/su12198231
33. Impacts of shipping emissions on PM<sub>2.5</sub> pollution in China Z. Lv et al. 10.5194/acp-18-15811-2018
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35. Literature Review and Future Prospects on Vessel Movement Data Usage including AIS Y. Wada et al. 10.2534/jjasnaoe.34.123
36. Real-time non-refractory PM1 chemical composition, size distribution and source apportionment at a coastal industrial park in the Yangtze River Delta region, China X. Huang et al. 10.1016/j.scitotenv.2020.142968