Enping Yan

433 total citations
28 papers, 325 citations indexed

About

Enping Yan is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Enping Yan has authored 28 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 17 papers in Environmental Engineering and 9 papers in Global and Planetary Change. Recurrent topics in Enping Yan's work include Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (16 papers) and Remote Sensing and Land Use (7 papers). Enping Yan is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Remote Sensing and LiDAR Applications (16 papers) and Remote Sensing and Land Use (7 papers). Enping Yan collaborates with scholars based in China and United States. Enping Yan's co-authors include Guangxing Wang, Hua Sun, Hui Lin, Chaozong Xia, Yabin Song, Hui Lin, Jiangping Long, Guozhen Zhang, Hui Zhou and Shaohua Zhao and has published in prestigious journals such as Sensors, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Enping Yan

26 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enping Yan China 10 210 146 118 66 59 28 325
Sam Gillingham New Zealand 7 259 1.2× 162 1.1× 141 1.2× 54 0.8× 52 0.9× 12 351
Huawei Wan China 11 282 1.3× 140 1.0× 181 1.5× 54 0.8× 34 0.6× 58 423
Erik Haß Germany 6 190 0.9× 89 0.6× 147 1.2× 36 0.5× 85 1.4× 6 328
Lukas Blickensdörfer Germany 5 208 1.0× 96 0.7× 108 0.9× 78 1.2× 48 0.8× 7 338
Tony Gill Australia 8 297 1.4× 182 1.2× 178 1.5× 37 0.6× 53 0.9× 13 377
Stefan Suess Germany 9 315 1.5× 141 1.0× 242 2.1× 89 1.3× 128 2.2× 9 482
Christian Hüttich Germany 11 266 1.3× 187 1.3× 236 2.0× 156 2.4× 65 1.1× 23 455
Jiří Prošek Czechia 11 216 1.0× 231 1.6× 101 0.9× 48 0.7× 27 0.5× 13 396
Vahid Nasiri Iran 9 223 1.1× 157 1.1× 200 1.7× 71 1.1× 37 0.6× 15 407
Jonathan V. Solórzano Mexico 10 162 0.8× 83 0.6× 132 1.1× 37 0.6× 57 1.0× 29 291

Countries citing papers authored by Enping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Enping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Enping Yan. A scholar is included among the top collaborators of Enping Yan 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 Enping Yan. Enping Yan 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.
Yan, Enping, et al.. (2023). Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, China. Remote Sensing. 15(24). 5721–5721. 1 indexed citations
2.
Wei, Wei, et al.. (2023). Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning. Remote Sensing. 15(3). 628–628. 9 indexed citations
3.
4.
Song, Yabin, et al.. (2023). A Cross-Domain Change Detection Network Based on Instance Normalization. Remote Sensing. 15(24). 5785–5785.
5.
Yan, Enping, et al.. (2023). LightCDNet: Lightweight Change Detection Network Based on VHR Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 23 indexed citations
6.
Li, Minghui, et al.. (2022). A novel method for cliff vegetation estimation based on the unmanned aerial vehicle 3D modeling. Frontiers in Plant Science. 13. 1006795–1006795. 10 indexed citations
7.
Ji, Yu, et al.. (2022). Automated extraction of Camellia oleifera crown using unmanned aerial vehicle visible images and the ResU-Net deep learning model. Frontiers in Plant Science. 13. 958940–958940. 3 indexed citations
8.
Wei, Wei, et al.. (2022). DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images. Remote Sensing. 14(19). 5046–5046. 9 indexed citations
9.
Zhou, Hui, Jiaxiang Li, Qian Li, et al.. (2021). Opening a new era of investigating unreachable cliff flora using smart UAVs. Remote Sensing in Ecology and Conservation. 7(4). 638–648. 15 indexed citations
10.
Long, Jiangping, Hui Lin, Guangxing Wang, Hua Sun, & Enping Yan. (2020). Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images. Sensors. 20(14). 3957–3957. 12 indexed citations
11.
Yan, Enping, et al.. (2019). Improving the Estimation of Forest Carbon Density in Mountainous Regions Using Topographic Correction and Landsat 8 Images. Remote Sensing. 11(22). 2619–2619. 2 indexed citations
12.
Long, Jiangping, Hui Lin, Guangxing Wang, Hua Sun, & Enping Yan. (2019). Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images. Remote Sensing. 11(16). 1872–1872. 25 indexed citations
13.
Lin, Hui, et al.. (2018). Optimal selection of remote sensing feature variables for land cover classification. 19. 1–5. 3 indexed citations
14.
15.
Yan, Enping, et al.. (2015). [Estimation of Hunan forest carbon density based on spectral mixture analysis of MODIS data].. PubMed. 26(11). 3433–42. 1 indexed citations
16.
Yan, Enping, Guangxing Wang, Hui Lin, Chaozong Xia, & Hua Sun. (2015). Phenology-based classification of vegetation cover types in Northeast China using MODIS NDVI and EVI time series. International Journal of Remote Sensing. 36(2). 489–512. 95 indexed citations
17.
Yan, Enping, Hui Lin, Guangxing Wang, & Hua Sun. (2015). Improvement of Forest Carbon Estimation by Integration of Regression Modeling and Spectral Unmixing of Landsat Data. IEEE Geoscience and Remote Sensing Letters. 12(9). 2003–2007. 16 indexed citations
18.
Yan, Enping, Hui Lin, Guangxing Wang, & Hua Sun. (2014). Multi-scale simulation and accuracy assessment of forest carbon using Landsat and MODIS data. 58. 195–199. 3 indexed citations
19.
Chen, Li, Hui Lin, Guangxing Wang, Hua Sun, & Enping Yan. (2014). Spectral unmixing of MODIS data based on improved endmember purification model: application to forest type identification. 19. 234–238. 1 indexed citations
20.
Lin, Hui, et al.. (2014). Analysis of hyperspectral bands for the health diagnosis of tree species. 448–451. 7 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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