Lanfa Liu

897 total citations · 1 hit paper
27 papers, 682 citations indexed

About

Lanfa Liu is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Lanfa Liu has authored 27 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Media Technology. Recurrent topics in Lanfa Liu's work include Soil Geostatistics and Mapping (7 papers), Remote-Sensing Image Classification (6 papers) and Land Use and Ecosystem Services (6 papers). Lanfa Liu is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Remote-Sensing Image Classification (6 papers) and Land Use and Ecosystem Services (6 papers). Lanfa Liu collaborates with scholars based in China, Germany and France. Lanfa Liu's co-authors include Min Ji, Manfred F. Buchroithner, Ana‐Maria Olteanu‐Raimond, Yunyun Dong, Linchuan Fang, Josep Peñuelas, Haoran He, Wenfeng Tan, Tianyi Qiu and Ji Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Change Biology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Lanfa Liu

24 papers receiving 666 citations

Hit Papers

Crop residue return sustains global soil ecological stoic... 2023 2026 2024 2025 2023 25 50 75 100
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. Crop residue return sustains global soil ecological stoichiometry balance
    2023 116 citations Ji Liu, Tianyi Qiu et al. Global Change Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanfa Liu China 12 170 168 134 130 125 27 682
Chenchao Xiao China 15 161 0.9× 222 1.3× 87 0.6× 141 1.1× 239 1.9× 42 729
Mohamad M. Awad Lebanon 13 143 0.8× 177 1.1× 63 0.5× 104 0.8× 153 1.2× 41 591
Osmar Luiz Ferreira de Carvalho Brazil 14 149 0.9× 102 0.6× 68 0.5× 140 1.1× 214 1.7× 29 570
Anna Brook Israel 16 225 1.3× 168 1.0× 50 0.4× 191 1.5× 264 2.1× 68 845
Anesmar Olino de Albuquerque Brazil 11 134 0.8× 87 0.5× 65 0.5× 101 0.8× 178 1.4× 18 470
Jinsong Chen China 16 145 0.9× 168 1.0× 52 0.4× 85 0.7× 183 1.5× 64 811
Jianli Ding China 18 434 2.6× 75 0.4× 127 0.9× 263 2.0× 276 2.2× 60 1.0k
Pablo Pozzobon de Brazil 9 163 1.0× 199 1.2× 41 0.3× 181 1.4× 276 2.2× 10 622
Ying Yu China 15 238 1.4× 144 0.9× 37 0.3× 208 1.6× 217 1.7× 51 666
Mohammad Rezaee Canada 8 204 1.2× 223 1.3× 64 0.5× 218 1.7× 268 2.1× 10 644

Countries citing papers authored by Lanfa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lanfa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanfa Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lanfa Liu. A scholar is included among the top collaborators of Lanfa Liu 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 Lanfa Liu. Lanfa Liu 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.
2.
Liu, Lanfa, et al.. (2025). SpatialFormer: A Model to Estimate Soil Organic Carbon Content Using Spectral and Spatial Information. Journal of soil science and plant nutrition. 25(2). 3259–3271.
3.
Liu, Lanfa, et al.. (2025). Clustering-Based Class Hierarchy Modeling for Semantic Segmentation Using Remotely Sensed Imagery. Mathematics. 13(3). 331–331. 1 indexed citations
4.
Liu, Lanfa, et al.. (2024). Neural Cellular Automata-based Land Use Changes Simulation. SHILAP Revista de lepidopterología. XLVIII-1-2024. 843–848. 1 indexed citations
5.
Liu, Lanfa, et al.. (2024). HierU-Net: A Hierarchical Semantic Segmentation Method for Land Cover Mapping. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 7 indexed citations
6.
Lu, Guanming, et al.. (2023). Building element recognition with MTL-AINet considering view perspectives. Open Geosciences. 15(1).
7.
Liu, Lanfa, et al.. (2023). A Slope Structural Plane Extraction Method Based on Geo-AINet Ensemble Learning with UAV Images. Remote Sensing. 15(5). 1441–1441. 1 indexed citations
8.
Liu, Ji, Tianyi Qiu, Josep Peñuelas, et al.. (2023). Crop residue return sustains global soil ecological stoichiometry balance. Global Change Biology. 29(8). 2203–2226. 116 indexed citations breakdown →
9.
Wu, Hao, Anqi Lin, Fanghua Hao, et al.. (2022). SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images. Computers Environment and Urban Systems. 100. 101921–101921. 49 indexed citations
10.
Liu, Lanfa, et al.. (2022). Yolo-Based Multi-Model Ensemble for Plastic Waste Detection Along Railway Lines. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7658–7661. 4 indexed citations
11.
Chen, Wei, Si‐Liang Li, Le Yu, et al.. (2021). Accuracy comparison and driving factor analysis of LULC changes using multi-source time-series remote sensing data in a coastal area. Ecological Informatics. 66. 101457–101457. 23 indexed citations
12.
Olteanu‐Raimond, Ana‐Maria, Linda See, Michael Schultz, et al.. (2020). Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change. Remote Sensing. 12(7). 1186–1186. 16 indexed citations
13.
Dong, Yunyun, Weili Jiao, Tengfei Long, Lanfa Liu, & Guojin He. (2019). Eliminating the Effect of Image Border with Image Periodic Decomposition for Phase Correlation Based Remote Sensing Image Registration. Sensors. 19(10). 2329–2329. 4 indexed citations
14.
Dong, Yunyun, Weili Jiao, Tengfei Long, et al.. (2019). Local Deep Descriptor for Remote Sensing Image Feature Matching. Remote Sensing. 11(4). 430–430. 35 indexed citations
15.
16.
Liu, Lanfa, Min Ji, & Manfred F. Buchroithner. (2018). Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery. Sensors. 18(9). 3169–3169. 114 indexed citations
17.
Liu, Lanfa, Min Ji, & Manfred F. Buchroithner. (2018). A Case Study of the Forced Invariance Approach for Soil Salinity Estimation in Vegetation-Covered Terrain Using Airborne Hyperspectral Imagery. ISPRS International Journal of Geo-Information. 7(2). 48–48. 7 indexed citations
18.
Liu, Lanfa, Min Ji, & Manfred F. Buchroithner. (2017). Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra. Remote Sensing. 9(12). 1299–1299. 49 indexed citations
19.
20.
Liu, Lanfa. (2015). Soil Moisture Mapping in Vegetated Area Using Landsat and Envisat ASAR Data. d001–d001. 1 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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