Liyong Fu

3.6k total citations · 2 hit papers
125 papers, 2.7k citations indexed

About

Liyong Fu is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Liyong Fu has authored 125 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Nature and Landscape Conservation, 50 papers in Environmental Engineering and 41 papers in Global and Planetary Change. Recurrent topics in Liyong Fu's work include Forest ecology and management (63 papers), Remote Sensing and LiDAR Applications (50 papers) and Plant Water Relations and Carbon Dynamics (18 papers). Liyong Fu is often cited by papers focused on Forest ecology and management (63 papers), Remote Sensing and LiDAR Applications (50 papers) and Plant Water Relations and Carbon Dynamics (18 papers). Liyong Fu collaborates with scholars based in China, United States and Nepal. Liyong Fu's co-authors include Qiaolin Ye, Ram P. Sharma, Shouzheng Tang, Guangxing Wang, Zhao Zhang, Yuancai Lei, Hua Sun, Huiru Zhang, Wankou Yang and Qingwang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Liyong Fu

116 papers receiving 2.7k citations

Hit Papers

RemoteCLIP: A Vision Language Foundation Model for Remote... 2024 2026 2025 2024 2024 50 100 150
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. RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
    2024 179 citations Qiaolin Ye, Liyong Fu et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  2. Multiscale 3-D–2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification
    2024 54 citations Liyong Fu et al. IEEE Transactions on Geoscience and 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
Liyong Fu China 30 1.1k 924 714 607 424 125 2.7k
Ben Gorte Netherlands 26 372 0.3× 1.3k 1.4× 433 0.6× 293 0.5× 698 1.6× 92 2.3k
Teja Kattenborn Germany 27 416 0.4× 1.6k 1.7× 916 1.3× 199 0.3× 2.1k 5.0× 58 3.6k
Clément Mallet France 26 549 0.5× 3.6k 3.9× 444 0.6× 591 1.0× 1.3k 3.0× 84 4.5k
Wei Yao China 30 445 0.4× 1.7k 1.8× 176 0.2× 775 1.3× 583 1.4× 149 2.8k
Eija Honkavaara Finland 40 757 0.7× 3.7k 4.0× 994 1.4× 448 0.7× 3.1k 7.4× 183 6.2k
Veraldo Liesenberg Brazil 25 291 0.3× 1.1k 1.2× 539 0.8× 114 0.2× 1.3k 3.1× 105 2.3k
Alim Samat China 29 154 0.1× 504 0.5× 563 0.8× 496 0.8× 604 1.4× 131 2.9k
Peter Biber Germany 35 2.5k 2.4× 1.2k 1.3× 2.5k 3.5× 963 1.6× 425 1.0× 107 5.7k
Aaron E. Maxwell United States 26 119 0.1× 864 0.9× 955 1.3× 194 0.3× 1.4k 3.3× 74 3.4k
Paula Litkey Finland 26 662 0.6× 2.1k 2.3× 322 0.5× 186 0.3× 1.2k 2.9× 48 2.7k

Countries citing papers authored by Liyong Fu

Since Specialization
Citations

This map shows the geographic impact of Liyong Fu'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 Liyong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyong Fu more than expected).

Fields of papers citing papers by Liyong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liyong Fu. 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 Liyong Fu. The network helps show where Liyong Fu may publish in the future.

Co-authorship network of co-authors of Liyong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Liyong Fu. A scholar is included among the top collaborators of Liyong Fu 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 Liyong Fu. Liyong Fu 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.
Zhang, Meinan, Shirong Liu, Xiangzhong Luo, et al.. (2025). Incorporating site suitability and carbon sequestration of tree species into China’s climate-adaptive forestation. Science Bulletin. 70(11). 1834–1845. 5 indexed citations
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Chen, Pan, Xijian Fan, Tardi Tjahjadi, et al.. (2025). Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9409–9431. 2 indexed citations
4.
Ye, Qiaolin, et al.. (2025). Interpretable deep one-class model for forest fire detection. Expert Systems with Applications. 281. 127657–127657. 2 indexed citations
5.
Zhang, Dong, et al.. (2025). Synthetic instance segmentation from semantic image segmentation masks. Knowledge-Based Systems. 331. 114639–114639.
6.
Zhang, Xiaofang, Shouzheng Tang, Liyong Fu, et al.. (2025). Mapping species-specific aboveground forest biomass for Guangxi using wall-to-wall airborne laser scanning data. Ecological Indicators. 178. 113456–113456.
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Zhang, Xiaofang, Ram P. Sharma, Qiaolin Ye, et al.. (2024). Forest above-ground biomass estimation based on strongly collinear variables derived from airborne laser scanning data. Ecological Indicators. 166. 112517–112517. 1 indexed citations
9.
Gao, Wenqiang, et al.. (2024). Climatic limitations of nearly endangered Juniperus rigida populations at their range edges in semiarid China. Global Ecology and Conservation. 54. e03148–e03148. 1 indexed citations
10.
Gao, Wenqiang, Maowei Liang, Wenhua Xiang, et al.. (2024). Development stage‐dependent effects of biodiversity on aboveground biomass of temperate forests. Ecography. 2025(4). 2 indexed citations
11.
Yang, Xubing, Li Zhang, Xijian Fan, et al.. (2023). Preferred vector machine for forest fire detection. Pattern Recognition. 143. 109722–109722. 31 indexed citations
12.
Wang, Yang, Xubing Yang, Li Zhang, et al.. (2023). Individual tree segmentation and tree-counting using supervised clustering. Computers and Electronics in Agriculture. 205. 107629–107629. 13 indexed citations
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Fan, Xijian, et al.. (2022). BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 54 indexed citations
15.
Fu, Liyong, et al.. (2022). MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6425–6436. 27 indexed citations
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Fu, Liyong, Ram P. Sharma, Guangyu Zhu, et al.. (2017). A Basal Area Increment-Based Approach of Site Productivity Evaluation for Multi-Aged and Mixed Forests. Forests. 8(4). 119–119. 21 indexed citations
19.
Lei, Xiangdong, Jun Lü, Hong Guo, et al.. (2014). Quantifying the Variability of Internode Allometry within and between Trees for Pinus tabulaeformis Carr. Using a Multilevel Nonlinear Mixed-Effect Model. Forests. 5(11). 2825–2845. 2 indexed citations
20.
Fu, Liyong, Yuancai Lei, Ram P. Sharma, & Shouzheng Tang. (2012). Parameter estimation of nonlinear mixed-effects models using first-order conditional linearization and the EM algorithm. Journal of Applied Statistics. 40(2). 252–265. 2 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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