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Jiafeng Xu

Observed names: Jia-Feng Xu, XU Jiafeng
Institution: Tongling University
ORCID: 0000-0002-5515-7342
Observed ORCID: 0000-0002-5515-7342
OpenAlex ID: A5101647352
An approach for retrieval of horizontal and vertical distribution of total suspended matter concentration from GOCI data over Lake Hongze
2019 · Shaohua Lei, Jie Xu, et al. · The Science of The Total Environment · 63
Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing
2019 · Jie Xu, Shaohua Lei, et al. · Water Research · 56
Optical classification of inland waters based on an improved Fuzzy C-Means method
2019 · Shun Bi, Yunmei Li, et al. · Optics Express · 45
Is there any difference on cyanobacterial blooms patterns between Lake Chaohu and Lake Taihu over the last 20 years?
2022 · Honglei Guo, Huaiqing Liu, et al. · Environmental Science and Pollution Research · 37
Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a New Semi-Analytical Algorithm
2020 · Shuai Zeng, Shaohua Lei, et al. · Remote Sensing · 35
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Long-term monitoring particulate composition change in the Great Lakes using MODIS data
2022 · Jiafeng Xu, Huaiqing Liu, et al. · Water Research · 30
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Seasonal and interannual variations of sea surface temperature and influencing factors in the Yangtze River Estuary
2021 · Jie Wang, Jie Wang, et al. · Regional Studies in Marine Science · 24
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Recognition of aquatic vegetation above water using shortwave infrared baseline and phenological features
2022 · Huaijing Wang, Yunmei Li, et al. · Ecological Indicators · 23
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Mapping spatio-temporal dynamics of main water parameters and understanding their relationships with driving factors using GF-1 images in a clear reservoir
2020 · Shuai Zeng, Yunmei Li, et al. · Environmental Science and Pollution Research · 21
Simultaneous inversion of concentrations of POC and its endmembers in lakes: A novel remote sensing strategy
2021 · Jie Xu, Yunmei Li, et al. · The Science of The Total Environment · 16
Estimation of Particulate Backscattering Coefficient in Turbid Inland Water Using Sentinel 3A-OLCI Image
2021 · Jiafeng Xu, Yingchun Bian, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 16
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A semianalytical algorithm for estimating particulate composition in inland waters based on Sentinel-3 OLCI images
2022 · Jiafeng Xu, Ying Zhao, et al. · Journal of Hydrology · 14
A novel algorithm for estimating phytoplankton algal density in inland eutrophic lakes based on Sentinel-3 OLCI images
2024 · Honglei Guo, Wenyu Liu, et al. · International Journal of Applied Earth Observation and Geoinformation · 10
Nineteen Years of Trophic State Variation in Large Lakes of the Yangtze River Delta Region Derived from MODIS Images
2021 · Yingchun Bian, Ying Zhao, et al. · Remote Sensing · 8
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Remote sensing estimation method of organic suspended matter concentration in inland lakes based on Sentinel-3 OLCI data
2022 · ZHONG Suke, LYU Heng, et al. · National Remote Sensing Bulletin · 7
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Anthropogenic forcing has impacted precipitation variability in the North China Monsoon Marginal Region
2025 · Xiaoen Zhao, Chenxi Xu, et al. · Palaeogeography Palaeoclimatology Palaeoecology · 5
[Remote Sensing Classification of Urban Black-odor Water Based on Decision Tree].
2020 · Ling-Ling Li, Yun-Mei Li, et al. · PubMed · 5
Distribution of emergent aquatic vegetation leaf inclination angle and its simulation
2023 · Huaijing Wang, Yunmei Li, et al. · Aquatic Botany · 4
Variations in Phytoplankton Blooms in the Yangtze River Estuary and Its Adjacent Waters Induced by Climate and Human Activities
2024 · Yan Luo, Ling Zhou, et al. · Water · 3
A classification-based approach to mapping particulate organic matter (POM) in inland water using OLCI images
2023 · Huaiqing Liu, Wenyu Liu, et al. · Environmental Science and Pollution Research · 3
A novel semi-analytical algorithm for estimating particulate organic matter in freshwater lakes using Sentinel-3 OLCI images
2026 · Fangfang Chen, Runqi Ma, et al. · Measurement
Works count: 21
Citation count: 425
H-index: 12
I10-index: 13
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