Feng Ling

6.2k total citations · 1 hit paper
179 papers, 4.9k citations indexed

About

Feng Ling is a scholar working on Ecology, Media Technology and Global and Planetary Change. According to data from OpenAlex, Feng Ling has authored 179 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Ecology, 62 papers in Media Technology and 56 papers in Global and Planetary Change. Recurrent topics in Feng Ling's work include Remote Sensing in Agriculture (73 papers), Advanced Image Fusion Techniques (49 papers) and Remote-Sensing Image Classification (37 papers). Feng Ling is often cited by papers focused on Remote Sensing in Agriculture (73 papers), Advanced Image Fusion Techniques (49 papers) and Remote-Sensing Image Classification (37 papers). Feng Ling collaborates with scholars based in China, United Kingdom and United States. Feng Ling's co-authors include Yun Du, Xiaodong Li, Yihang Zhang, Giles M. Foody, Qunming Wang, Wenbo Li, Yong Ge, Hailei Wang, Zhiqiang Du and Yuanmiao Gui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Feng Ling

168 papers receiving 4.8k citations

Hit Papers

Water Bodies’ Mapping from Sentinel-2 Imagery with Modifi... 2016 2026 2019 2022 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Water Bodies’ Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band
    2016 640 citations Yun Du, Yihang Zhang et al. Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Ling China 38 2.0k 1.9k 1.6k 1.4k 1.0k 179 4.9k
John Nicol United Kingdom 15 2.7k 1.3× 2.1k 1.1× 969 0.6× 1.6k 1.1× 1.5k 1.5× 27 5.7k
Masoud Mahdianpari Canada 34 2.5k 1.2× 2.5k 1.3× 1.0k 0.6× 1.9k 1.4× 902 0.9× 134 5.6k
Lucian Drăguţ Romania 19 2.5k 1.2× 3.6k 1.9× 1.7k 1.0× 2.7k 1.9× 1.6k 1.6× 46 7.8k
Bahram Salehi Canada 34 2.5k 1.2× 2.4k 1.3× 936 0.6× 1.8k 1.3× 823 0.8× 101 4.8k
Helmi Zulhaidi Mohd Shafri Malaysia 38 1.5k 0.7× 1.7k 0.9× 982 0.6× 1.6k 1.2× 717 0.7× 237 4.9k
Norman Kerle Netherlands 50 2.6k 1.3× 1.1k 0.6× 1.8k 1.1× 1.6k 1.2× 1.6k 1.5× 141 7.6k
Saeid Homayouni Canada 33 1.3k 0.6× 1.6k 0.9× 1.1k 0.7× 1.4k 1.0× 1.1k 1.0× 197 4.6k
Qunming Wang China 35 1.2k 0.6× 1.8k 0.9× 2.5k 1.5× 1.2k 0.9× 1.4k 1.3× 124 4.6k
Dirk Tiede Austria 33 2.1k 1.1× 2.2k 1.2× 2.2k 1.3× 1.6k 1.2× 1.3k 1.2× 165 6.3k
Sergii Skakun United States 37 2.5k 1.2× 3.7k 1.9× 1.2k 0.7× 1.7k 1.2× 1.2k 1.2× 144 6.3k

Countries citing papers authored by Feng Ling

Since Specialization
Citations

This map shows the geographic impact of Feng Ling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ling more than expected).

Fields of papers citing papers by Feng Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Ling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Ling. The network helps show where Feng Ling may publish in the future.

Co-authorship network of co-authors of Feng Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ling. A scholar is included among the top collaborators of Feng Ling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Ling. Feng Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhong, Ming, Xueyou Li, Lu Zhuo, et al.. (2025). Identifying Risk Transition Pattern of Compound Flooding Using the Copula Integrated Markov Chain. Water Resources Management. 39(14). 7727–7748.
2.
Hao, Zhen, Liang Sun, Zhixiang Yin, et al.. (2025). Super-Resolution Cropland Mapping by Spectral and Spatial Training Samples Simulation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
3.
Ge, Yong, et al.. (2024). Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy. Journal of Hydrology. 640. 131673–131673. 1 indexed citations
4.
5.
Chi, Hong, et al.. (2024). TemPanSharpening: A multi-temporal Pansharpening solution based on deep learning and edge extraction. ISPRS Journal of Photogrammetry and Remote Sensing. 211. 406–424. 1 indexed citations
6.
Ling, Feng, et al.. (2024). An Optimal-Path-Planning Method for Unmanned Surface Vehicles Based on a Novel Group Intelligence Algorithm. Journal of Marine Science and Engineering. 12(3). 477–477. 2 indexed citations
7.
Du, Yun, et al.. (2024). Unravelling spatiotemporal patterns of solar photovoltaic plants development in China in the 21st century. Environmental Research Letters. 19(3). 34005–34005. 4 indexed citations
8.
Zhu, Rui, Mei‐Po Kwan, Wei Luo, et al.. (2023). Estimation of urban-scale photovoltaic potential: A deep learning-based approach for constructing three-dimensional building models from optical remote sensing imagery. Sustainable Cities and Society. 93. 104515–104515. 41 indexed citations
9.
Ge, Yong, et al.. (2023). High-quality super-resolution mapping using spatial deep learning. iScience. 26(6). 106875–106875. 8 indexed citations
10.
Chi, Hong, et al.. (2023). Review of paddy rice mapping with remote sensing technology. National Remote Sensing Bulletin. 28(9). 2144–2169. 3 indexed citations
11.
Li, Xiaodong, Giles M. Foody, Doreen S. Boyd, et al.. (2023). Deep Feature and Domain Knowledge Fusion Network for Mapping Surface Water Bodies by Fusing Google Earth RGB and Sentinel-2 Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations
12.
13.
Li, Xinyan, et al.. (2022). Integrating MODIS and Landsat imagery to monitor the small water area variations of reservoirs. SHILAP Revista de lepidopterología. 5. 100045–100045. 8 indexed citations
14.
Wang, Lihui, et al.. (2022). Mapping Plant Diversity Based on Combined SENTINEL-1/2 Data—Opportunities for Subtropical Mountainous Forests. Remote Sensing. 14(3). 492–492. 11 indexed citations
15.
Boyd, Doreen S., Xiaodong Li, Bethany Jackson, et al.. (2021). Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space. Humanities and Social Sciences Communications. 8(1). 11 indexed citations
16.
17.
Ling, Feng, Doreen S. Boyd, Yong Ge, et al.. (2019). Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network. Water Resources Research. 55(7). 5631–5649. 63 indexed citations
18.
Foody, Giles M., Feng Ling, Doreen S. Boyd, Xiaodong Li, & Joanna M. Wardlaw. (2019). Earth Observation and Machine Learning to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space. Remote Sensing. 11(3). 266–266. 35 indexed citations
19.
Li, Yuanzheng, Lan Wang, Guosong Zhao, et al.. (2018). Urbanization effects on changes in the observed air temperatures during 1977–2014 in China. International Journal of Climatology. 39(1). 251–265. 13 indexed citations
20.
Zhao, Guosong, Xiwei Xu, & Feng Ling. (2010). Assessment of ASTER GDEM performance by comparing with SRTM and ICESat/GLAS data in Central China. 1–5. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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