Nanfeng Liu

878 total citations
18 papers, 660 citations indexed

About

Nanfeng Liu is a scholar working on Ecology, Plant Science and Atmospheric Science. According to data from OpenAlex, Nanfeng Liu has authored 18 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 7 papers in Plant Science and 6 papers in Atmospheric Science. Recurrent topics in Nanfeng Liu's work include Remote Sensing in Agriculture (14 papers), Leaf Properties and Growth Measurement (7 papers) and Climate change and permafrost (4 papers). Nanfeng Liu is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Leaf Properties and Growth Measurement (7 papers) and Climate change and permafrost (4 papers). Nanfeng Liu collaborates with scholars based in China, United States and Canada. Nanfeng Liu's co-authors include Lizhao Wang, Qiang Liu, Suhong Liu, Ying Qu, Shunlin Liang, Philip A. Townsend, Paul Treitz, Hairong Tang, Paul C. Bethke and Yi Wang and has published in prestigious journals such as Ecology, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nanfeng Liu

17 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanfeng Liu China 12 347 300 226 211 115 18 660
Andrew Russ United States 10 412 1.2× 322 1.1× 132 0.6× 264 1.3× 118 1.0× 26 685
Yanling Ding China 14 473 1.4× 266 0.9× 139 0.6× 325 1.5× 140 1.2× 33 664
Dedi Yang United States 13 387 1.1× 253 0.8× 157 0.7× 184 0.9× 133 1.2× 30 648
Quanjun Jiao China 16 422 1.2× 207 0.7× 175 0.8× 173 0.8× 202 1.8× 44 704
Kaijian Xu China 13 593 1.7× 197 0.7× 165 0.7× 398 1.9× 233 2.0× 31 795
Sibylle Itzerott Germany 15 513 1.5× 265 0.9× 135 0.6× 296 1.4× 211 1.8× 34 826
Shenghui Fang China 15 440 1.3× 210 0.7× 178 0.8× 276 1.3× 242 2.1× 29 677
Shangrong Lin China 15 427 1.2× 415 1.4× 153 0.7× 173 0.8× 89 0.8× 35 700
Amanda Veloso France 5 472 1.4× 203 0.7× 164 0.7× 320 1.5× 181 1.6× 6 695
Shouzhi Chen China 15 417 1.2× 289 1.0× 117 0.5× 144 0.7× 208 1.8× 30 639

Countries citing papers authored by Nanfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nanfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nanfeng Liu. A scholar is included among the top collaborators of Nanfeng 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 Nanfeng Liu. Nanfeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Zhihui, Zhongyu Sun, Nanfeng Liu, et al.. (2025). Characterizing key foliar functional traits of subtropical evergreen forests in South China using leaf and UAV-based spectroscopy. Computers and Electronics in Agriculture. 233. 110178–110178. 1 indexed citations
2.
Chen, Wenqian, et al.. (2025). Transfer learning for enhancing the generality of leaf spectroscopic models in estimating crop foliar nutrients across growth stages. International Journal of Applied Earth Observation and Geoinformation. 139. 104481–104481.
3.
Shen, Jian, Wenqian Chen, Mengjun Li, et al.. (2025). Assessing the Transferability of Models for Predicting Foliar Nutrient Concentrations Across Maize Cultivars. Remote Sensing. 17(4). 652–652. 3 indexed citations
4.
Liu, Nanfeng, et al.. (2024). Exploring the potential of multi-source satellite remote sensing in monitoring crop nutrient status: A multi-year case study of cranberries in Wisconsin, USA. International Journal of Applied Earth Observation and Geoinformation. 132. 104063–104063. 3 indexed citations
5.
Clare, John, Benjamin Zuckerberg, Nanfeng Liu, et al.. (2023). A phenology of fear: Investigating scale and seasonality in predator–prey games between wolves and white‐tailed deer. Ecology. 104(5). e4019–e4019. 12 indexed citations
6.
Wang, Zhihui, Jean‐Baptiste Féret, Nanfeng Liu, et al.. (2023). Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches. Remote Sensing of Environment. 293. 113614–113614. 27 indexed citations
7.
Zhou, Qu, Sheng Wang, Nanfeng Liu, et al.. (2023). Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators. ISPRS Journal of Photogrammetry and Remote Sensing. 196. 386–401. 17 indexed citations
8.
Liu, Nanfeng, Matthew Garcia, Aditya Singh, et al.. (2021). Trail camera networks provide insights into satellite-derived phenology for ecological studies. International Journal of Applied Earth Observation and Geoinformation. 97. 102291–102291. 15 indexed citations
9.
Wang, Sheng, Kaiyu Guan, Zhihui Wang, et al.. (2021). Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling. International Journal of Applied Earth Observation and Geoinformation. 105. 102617–102617. 59 indexed citations
10.
Townsend, Philip A., John Clare, Nanfeng Liu, et al.. (2021). Snapshot Wisconsin: networking community scientists and remote sensing to improve ecological monitoring and management. Ecological Applications. 31(8). e02436–e02436. 14 indexed citations
11.
Liu, Nanfeng, et al.. (2021). Hyperspectral imagery to monitor crop nutrient status within and across growing seasons. Remote Sensing of Environment. 255. 112303–112303. 94 indexed citations
12.
Liu, Nanfeng & Paul Treitz. (2018). Remote sensing of Arctic percent vegetation cover and fAPAR on Baffin Island, Nunavut, Canada. International Journal of Applied Earth Observation and Geoinformation. 71. 159–169. 7 indexed citations
13.
Liu, Nanfeng, P Budkewitsch, & Paul Treitz. (2017). Examining spectral reflectance features related to Arctic percent vegetation cover: Implications for hyperspectral remote sensing of Arctic tundra. Remote Sensing of Environment. 192. 58–72. 35 indexed citations
14.
Liu, Nanfeng & Paul Treitz. (2016). Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data. International Journal of Applied Earth Observation and Geoinformation. 52. 445–456. 22 indexed citations
15.
Liu, Qiang, Lizhao Wang, Ying Qu, et al.. (2013). Preliminary evaluation of the long-term GLASS albedo product. International Journal of Digital Earth. 6(sup1). 69–95. 173 indexed citations
16.
Qu, Ying, Qiang Liu, Shunlin Liang, et al.. (2013). Direct-Estimation Algorithm for Mapping Daily Land-Surface Broadband Albedo From MODIS Data. IEEE Transactions on Geoscience and Remote Sensing. 52(2). 907–919. 164 indexed citations
17.
Dou, Baocheng, et al.. (2013). The Multi-Angular and Multi-Band model for BRDF and albedo retrieval. 3044–3047. 1 indexed citations
18.
Liu, Nanfeng, Qiang Liu, Lizhao Wang, & Jianguang Wen. (2011). A temporal filtering algorithm to reconstruct daily albedo series based on GLASS albedo product. 4277–4280. 13 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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