11 citations as recorded by crossref.

1. Exhaust emission rates along German inland waterways D. Weber et al. https://doi.org/10.1016/j.trd.2025.104955
2. Identification and detection of high NO x emitting inland ships using multi-source shore-based monitoring data H. Huang et al. https://doi.org/10.1088/1748-9326/ad34e7
3. Quantification of natural CO2 emissions from mofettes using a low-cost sensor network at the Starzach site in South-West Germany Y. Büchau et al. https://doi.org/10.1371/journal.pclm.0000741
4. Connecting inland ship emissions from on-board sampling, onshore measurements and large-eddy simulations P. Eger et al. https://doi.org/10.1016/j.aeaoa.2026.100449
5. Air Pollutant Emission Factors of Inland River Ships under Compliance F. Zhou et al. https://doi.org/10.3390/jmse12101732
6. A Dynamic Trajectory Temporal Density Model for Analyzing Maritime Traffic Patterns D. Jiang et al. https://doi.org/10.3390/jmse13020381
7. Measurement report: In-depth characterization of ship emissions during operations in a Mediterranean port L. Le Berre et al. https://doi.org/10.5194/acp-25-6575-2025
8. Merging Multiple System Perspectives: The Key to Effective Inland Shipping Emission-Reduction Policy Design S. van der Werff et al. https://doi.org/10.3390/jmse13040716
9. Measurement report: Inland ship emissions and their contribution to NOx and ultrafine particle concentrations at the Rhine P. Eger et al. https://doi.org/10.5194/acp-23-8769-2023
10. Assessment of the Effect of International Maritime Regulations on Air Quality in the Southern North Sea W. Van Roy et al. https://doi.org/10.3390/atmos14060969
11. Large-eddy simulation of inland vessel emissions with dynamic source representation: dispersion characteristics in a realistic urban river environment M. Sühring et al. https://doi.org/10.1007/s10652-025-10067-9