116 citations as recorded by crossref.

1. LNG and Cruise Ships, an Easy Way to Fulfil Regulations—Versus the Need for Reducing GHG Emissions E. Lindstad & A. Rialland https://doi.org/10.3390/su12052080
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3. Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al. https://doi.org/10.1021/acs.est.0c03627
4. A comprehensive review on the prediction of ship energy consumption and pollution gas emissions K. Wang et al. https://doi.org/10.1016/j.oceaneng.2022.112826
5. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. https://doi.org/10.1016/j.scitotenv.2019.03.264
6. Influence of shipping activities on air and water quality in the Northern Adriatic Sea: A high-resolution modelling study L. Calgaro et al. https://doi.org/10.1016/j.marpolbul.2025.118102
7. A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. https://doi.org/10.1016/j.aeaoa.2021.100132
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9. Mission profile oriented energy efficiency and CO 2 footprint assessment of naval vessels at conceptual design phase: A comparative case study of conventional and hybrid energy systems S. Cin & U. Çelebi https://doi.org/10.1177/14750902241282214
10. Air emissions from ships in port: Does regulation make a difference? M. Tichavska et al. https://doi.org/10.1016/j.tranpol.2017.03.003
11. Geochemistry of the Dust Collected by Passive Samplers as a Tool for Search of Pollution Sources: The Case of Klaipėda Port, Lithuania P. Rapalis et al. https://doi.org/10.3390/app112311157
12. The impact of shipping emissions on air pollution in the greater North Sea region – Part 1: Current emissions and concentrations A. Aulinger et al. https://doi.org/10.5194/acp-16-739-2016
13. Ship emission inventory and its impact on the PM 2.5 air pollution in Qingdao Port, North China D. Chen et al. https://doi.org/10.1016/j.atmosenv.2017.07.021
14. Seasonal variability of trace elements in fine particulate matter (PM2.5) in a coastal city of northern Poland – profile analysis and source identification P. Siudek https://doi.org/10.1039/D0EM00031K
15. Data-Driven Carbon Emission Dynamics Under Ship In-Port Congestion W. Liu et al. https://doi.org/10.3390/jmse13040812
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17. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. https://doi.org/10.5194/acp-19-7019-2019
18. Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. https://doi.org/10.5194/os-17-699-2021
19. Modelling CO2 emissions and mitigation potential of Northern European shipping F. Dettner & S. Hilpert https://doi.org/10.1016/j.trd.2023.103745
20. Decarbonizing Maritime Transport: The Importance of Engine Technology and Regulations for LNG to Serve as a Transition Fuel E. Lindstad et al. https://doi.org/10.3390/su12218793
21. Robust optimization of liner shipping alliance fleet scheduling with consideration of sulfur emission restrictions and slot exchange J. Chen et al. https://doi.org/10.1007/s10479-022-04590-x
22. Comparison of the Impact of Ship Emissions in Northern Europe and Eastern China D. Schwarzkopf et al. https://doi.org/10.3390/atmos13060894
23. The impact of nitrogen and sulfur emissions from shipping on the exceedance of critical loads in the Baltic Sea region S. Jutterström et al. https://doi.org/10.5194/acp-21-15827-2021
24. Risk assessment of bilge water discharges in two Baltic shipping lanes K. Magnusson et al. https://doi.org/10.1016/j.marpolbul.2017.09.035
25. An evaluation of the photochemical air quality modeling using CMAQ in the industrial area of Quintero-Puchuncavi-Concon, Chile E. Pino-Cortés et al. https://doi.org/10.1016/j.apr.2022.101336
26. Modelling the dispersion of particle numbers in five European cities J. Kukkonen et al. https://doi.org/10.5194/gmd-9-451-2016
27. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. https://doi.org/10.5194/acp-23-10163-2023
28. Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. https://doi.org/10.5194/acp-23-1825-2023
29. The coast is clear: Shipping emission standards, air quality and infant health S. Lindgren https://doi.org/10.1016/j.trd.2021.103067
30. Assessing the costs and environmental benefits of IMO regulations of ship-originated SOx and NOx emissions in the Baltic Sea S. Repka et al. https://doi.org/10.1007/s13280-021-01500-6
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34. Characterization of Particle and Gaseous Emissions from Marine Diesel Engines with Different Fuels and Impact of After-Treatment Technology J. Zhou et al. https://doi.org/10.3390/en10081110
35. Shallow water effect-informed estimation of inland ship emissions: A case study of the North Jiangsu Canal W. Xie et al. https://doi.org/10.1016/j.oceaneng.2025.122438
36. Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. https://doi.org/10.3390/toxics12060432
37. An AIS–MRV Consistency-Enhanced Dynamic Network Framework for Shipping Traffic Resilience Assessment and Disruption Recovery Characterization R. Zhang et al. https://doi.org/10.3390/su18157917
38. Developing a new green ship approach for flue gas emission estimation of bulk carriers L. Bilgili & U. Celebi https://doi.org/10.1016/j.measurement.2018.02.002
39. Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region C. Geels et al. https://doi.org/10.5194/acp-21-12495-2021
40. Green shipping: using AIS data to assess global emissions T. Hensel et al. https://doi.org/10.1007/s00550-020-00498-x
41. Calculating ships' real emissions of pollutants and greenhouse gases: Towards zero uncertainties J. Moreno-Gutiérrez & V. Durán-Grados https://doi.org/10.1016/j.scitotenv.2020.141471
42. Estimation and dispersion analysis of shipping emissions in Bandirma Port, Turkey S. Kuzu et al. https://doi.org/10.1007/s10668-020-01057-6
43. Port environmental health Risks: Insights from the Tarragona Port-Industrial complex and planning implications J. Domingo et al. https://doi.org/10.1016/j.trd.2026.105541
44. Costs and benefits of low-sulphur fuel standard for Baltic Sea shipping J. Antturi et al. https://doi.org/10.1016/j.jenvman.2016.09.064
45. Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. https://doi.org/10.5194/esd-13-1-2022
46. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.12.059
47. Overview and Assessment of Ship Emissions Estimation Models G. Abdelghany & C. Guedes Soares https://doi.org/10.1007/s11804-026-00878-7
48. Assessment of relative fuel cost for dual fuel marine engines along major Asian container shipping routes R. Tan et al. https://doi.org/10.1016/j.tre.2020.102004
49. Inter-annual variability of trace elements in PM10 and the associated health risk in coastal-urban region (southern Baltic Sea, Poland) P. Siudek https://doi.org/10.1016/j.uclim.2021.100826
50. Chemical composition and size distribution of particulate matters from marine diesel engines with different fuel oils S. Zhou et al. https://doi.org/10.1016/j.fuel.2018.08.080
51. High-spatiotemporal-resolution ship emission inventory of China based on AIS data in 2014 D. Chen et al. https://doi.org/10.1016/j.scitotenv.2017.07.051
52. Cruise ship emissions in Norwegian waters: A geographical analysis M. Simonsen et al. https://doi.org/10.1016/j.jtrangeo.2019.05.014
53. Implementation of different big-leaf canopy reduction functions in the Biogenic Emission Inventory System (BEIS) and their impact on concentrations of oxidized nitrogen species in northern Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.07.035
54. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
55. The contribution of shipping to the emission of water and air pollutants in the northern Adriatic Sea - current and future scenarios L. Calgaro et al. https://doi.org/10.1016/j.marpolbul.2025.117573
56. Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. https://doi.org/10.1016/j.scitotenv.2024.177388
57. Ship emissions in the decarbonization era: high-resolution inventories, atmospheric impacts, and air pollution–climate co-mitigation pathways R. Xie et al. https://doi.org/10.1016/j.aeaoa.2026.100510
58. Trends in Vessel Atmospheric Emissions in the Central Mediterranean over the Last 10 Years and during the COVID-19 Outbreak M. Saliba et al. https://doi.org/10.3390/jmse9070762
59. Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang https://doi.org/10.1016/j.marpolbul.2023.115968
60. Experiment and Prediction Studies of Marine Exhaust Gas SO2 and Particle Removal Based on NaOH Solution with a U-Type Scrubber J. Zhou et al. https://doi.org/10.1021/acs.iecr.7b02397
61. Model calculations of the effects of present and future emissions of air pollutants from shipping in the Baltic Sea and the North Sea J. Jonson et al. https://doi.org/10.5194/acp-15-783-2015
62. Contribution of ship emissions to the concentration and deposition of air pollutants in Europe S. Aksoyoglu et al. https://doi.org/10.5194/acp-16-1895-2016
63. Effects of strengthening the Baltic Sea ECA regulations J. Jonson et al. https://doi.org/10.5194/acp-19-13469-2019
64. Impact of a nitrogen emission control area (NECA) on the future air quality and nitrogen deposition to seawater in the Baltic Sea region M. Karl et al. https://doi.org/10.5194/acp-19-1721-2019
65. Study on efficient removal of SOx and NOx from marine exhaust gas by wet scrubbing method using urea peroxide solution J. Zhou & H. Wang https://doi.org/10.1016/j.cej.2020.124567
66. Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea I. Maljutenko et al. https://doi.org/10.1016/j.marpolbul.2021.112985
67. Classification of Ship Type from Combination of HMM–DNN–CNN Models Based on Ship Trajectory Features D. Shin & C. Yang https://doi.org/10.3390/rs16224245
68. Modelling of ships as a source of underwater noise J. Jalkanen et al. https://doi.org/10.5194/os-14-1373-2018
69. The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test J. Kaiser et al. https://doi.org/10.5194/gmd-7-1137-2014
70. Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions N. Wang et al. https://doi.org/10.3390/su11102957
71. Model for Estimation of Fuel Consumption of Cruise Ships M. Simonsen et al. https://doi.org/10.3390/en11051059
72. Surveillance of ship emissions and fuel sulfur content based on imaging detection and multi-task deep learning K. Cao et al. https://doi.org/10.1016/j.envpol.2021.117698
73. Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. https://doi.org/10.5194/gmd-12-541-2019
74. Shipping emissions in the Iberian Peninsula and the impacts on air quality R. Nunes et al. https://doi.org/10.5194/acp-20-9473-2020
75. Modeling and Control of Marine Diesel Generator System With Active Protection J. Kavil Kambrath et al. https://doi.org/10.1109/TTE.2017.2764324
76. Underwater noise emissions from ships during 2014–2020 J. Jalkanen et al. https://doi.org/10.1016/j.envpol.2022.119766
77. Phosphorus flows on ships: Case study from the Baltic Sea M. Wilewska-Bien et al. https://doi.org/10.1177/1475090218761761
78. Impact of Ship Emissions on Air Quality in the Greater Bay Area in China under the Latest Global Marine Fuel Regulation J. Zhai et al. https://doi.org/10.1021/acs.est.3c03950
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80. The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. https://doi.org/10.5194/acp-20-10667-2020
81. Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data B. Goldsworthy et al. https://doi.org/10.1016/j.atmosenv.2019.116829
82. Reduction of CO 2 emissions with automatic mooring systems. The case of the port of Santander A. Ortega Piris et al. https://doi.org/10.1016/j.apr.2017.07.002
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