46 citations as recorded by crossref.

1. Deep-Learning-Based Marine Aquaculture Zone Extractions From Dual-Polarimetric SAR Imagery W. Chen & X. Li 10.1109/JSTARS.2024.3384511
2. OMAD-6: Advancing Offshore Mariculture Monitoring with a Comprehensive Six-Type Dataset and Performance Benchmark Z. Mo et al. 10.3390/rs16234522
3. Spatiotemporal Trends and Zoning Geospatial Assessment in China’s Offshore Mariculture (2018–2022) Z. Mo et al. 10.3390/rs17071227
4. Mapping the spatial distribution of global mariculture production G. Clawson et al. 10.1016/j.aquaculture.2022.738066
5. TCNet: A Transformer–CNN Hybrid Network for Marine Aquaculture Mapping from VHSR Images Y. Fu et al. 10.3390/rs15184406
6. Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm T. Hou et al. 10.1016/j.jag.2022.102846
7. Estimating four-decadal variations of seagrass distribution using satellite data and deep learning methods in a marine lagoon L. Wang et al. 10.1016/j.scitotenv.2024.170936
8. Hidden threat in turbid waters: Quantifying and modeling the bioaccumulation and risks of particulate metals to clams J. Qian et al. 10.1016/j.envpol.2025.125746
9. Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion D. Chen et al. 10.3390/rs14010001
10. Mapping China’s offshore mariculture based on dense time-series optical and radar data X. Liu et al. 10.1080/17538947.2022.2108923
11. A Deep Learning Method for Offshore Raft Aquaculture Extraction Based on Medium-Resolution Remote Sensing Images J. Liu et al. 10.1109/JSTARS.2023.3291499
12. RaftNet: A New Deep Neural Network for Coastal Raft Aquaculture Extraction from Landsat 8 OLI Data H. Su et al. 10.3390/rs14184587
13. Aquaculture Areas Extraction Model Using Semantic Segmentation from Remote Sensing Images at the Maowei Sea of Beibu Gulf W. Qin et al. 10.3390/fishes10050236
14. Harbor Aquaculture Area Extraction Aided with an Integration-Enhanced Gradient Descent Algorithm Y. Zhong et al. 10.3390/rs13224554
15. Historical trends and future projections of greenhouse gas emissions and sequestration from China's mariculture J. Liu et al. 10.1016/j.resconrec.2024.108062
16. Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture—Using Liaoning Province, China as an Example Y. Ren et al. 10.3390/rs15245781
17. Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data Y. Liu et al. 10.1080/17538947.2024.2402418
18. Red tide detection based on high spatial resolution broad band optical satellite data R. Liu et al. 10.1016/j.isprsjprs.2021.12.009
19. The Assessment of More Suitable Image Spatial Resolutions for Offshore Aquaculture Areas Automatic Monitoring Based on Coupled NDWI and Mask R-CNN Y. Wang et al. 10.3390/rs14133079
20. Marine Infrastructure Detection with Satellite Data—A Review R. Spanier & C. Kuenzer 10.3390/rs16101675
21. Improving Ocean Management Using Insights from Space D. McCauley et al. 10.1146/annurev-marine-050823-120619
22. Heavy metals in riverine/estuarine sediments from an aquaculture wetland in metropolitan areas, China: Characterization, bioavailability and probabilistic ecological risk H. Li et al. 10.1016/j.envpol.2023.121370
23. Seaweed (Porphyra) cultivation enhances production of autochthonous refractory dissolved organic matter in coastal ecosystems T. Wang et al. 10.3389/fmars.2025.1529148
24. Mapping of Greek Marine Finfish Farms and Their Potential Impact on the Marine Environment G. Katselis et al. 10.3390/jmse10020286
25. Changes in the spatial distribution of mariculture in China over the past 20 years Y. Liu et al. 10.1007/s11442-023-2181-z
26. Remote sensing and computer vision for marine aquaculture S. Quaade et al. 10.1126/sciadv.adn4944
27. Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters C. Zhou et al. 10.3390/jmse10060781
28. Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring D. Meng et al. 10.3390/rs16091585
29. Spatiotemporal Expansion of Algal Blooms in Coastal China Seas K. Zeng et al. 10.1021/acs.est.4c01877
30. Redefining Aquaculture Safety with Artificial Intelligence: Design Innovations, Trends, and Future Perspectives F. Ma et al. 10.3390/fishes10030088
31. The influence of shellfish farming on sedimentary organic carbon mineralization: A case study in a coastal scallop farming area of Yantai, China M. Zhao & S. Zhang 10.1016/j.marpolbul.2022.113941
32. Policy-driven opposite changes of coastal aquaculture ponds between China and Vietnam: Evidence from Sentinel-1 images Z. Sun et al. 10.1016/j.aquaculture.2023.739474
33. A wave-shaped CNN for marine-raft aquaculture-area extraction in SAR images G. Yanjun et al. 10.1016/j.compag.2025.110078
34. Preparation and application of multi-source solid wastes as clean aggregates: A comprehensive review J. Wang & H. Dong 10.1016/j.conbuildmat.2024.135414
35. Ecosystem Services of Ecosystem Approach to Mariculture: Providing an Unprecedented Opportunity for the Reform of China’s Sustainable Aquaculture X. Zhou et al. 10.3389/fmars.2022.909231
36. Dynamics of coastal land-based aquaculture pond in China and Southeast Asia from 1990 to 2020 Y. Jiang et al. 10.1016/j.jag.2024.103654
37. Intelligent Detection of Marine Offshore Aquaculture with High-Resolution Optical Remote Sensing Images D. Dong et al. 10.3390/jmse12061012
38. Mapping of land-based aquaculture regions in Southeast Asia and its Spatiotemporal change from 1990 to 2020 using time-series remote sensing data J. Zhang et al. 10.1016/j.jag.2023.103518
39. Seagrass classification using unsupervised curriculum learning (UCL) N. Abid et al. 10.1016/j.ecoinf.2024.102804
40. Marine aquaculture mapping using GF-1 WFV satellite images and full resolution cascade convolutional neural network Y. Fu et al. 10.1080/17538947.2022.2133184
41. Long-term human expansion and the environmental impacts on the coastal zone of China Y. Wang et al. 10.3389/fmars.2022.1033466
42. An Attention-Fused Deep Learning Model for Accurately Monitoring Cage and Raft Aquaculture at Large-Scale Using Sentinel-2 Data Y. Xu & L. Lu 10.1109/JSTARS.2024.3390762
43. Hierarchical pyramid refined U-Net for creating the first 2 m resolution multi-class national-scale spatial distribution dataset of offshore observable marine aquaculture in China Y. Chen et al. 10.1080/17538947.2025.2520471
44. Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review R. Cavalli 10.3390/rs16030446
45. Ecological Security Pattern Construction in Loess Plateau Areas—A Case Study of Shanxi Province, China Y. Fu et al. 10.3390/land13050709
46. A new satellite-derived dataset for marine aquaculture areas in China's coastal region Y. Fu et al. 10.5194/essd-13-1829-2021