Luwei Feng

1.5k total citations
23 papers, 1.1k citations indexed

About

Luwei Feng is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Luwei Feng has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 8 papers in Plant Science and 6 papers in Environmental Engineering. Recurrent topics in Luwei Feng's work include Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (7 papers) and Remote Sensing and LiDAR Applications (5 papers). Luwei Feng is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (7 papers) and Remote Sensing and LiDAR Applications (5 papers). Luwei Feng collaborates with scholars based in China, United States and Denmark. Luwei Feng's co-authors include Qingyun Du, Yumiao Wang, Zhou Zhang, Yuchi Ma, Fu Ren, Sijia Li, Brian D. Luck, Parker Williams, Jessica L. Drewry and Troy Runge and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Luwei Feng

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luwei Feng China 15 510 403 261 238 236 23 1.1k
Yumiao Wang China 16 354 0.7× 285 0.7× 786 3.0× 225 0.9× 235 1.0× 49 1.6k
Ran Meng China 24 1.0k 2.0× 285 0.7× 865 3.3× 598 2.5× 60 0.3× 45 1.6k
Francisco Javier Mesas‐Carrascosa Spain 23 624 1.2× 492 1.2× 285 1.1× 831 3.5× 74 0.3× 47 1.7k
Sherrie Wang United States 13 538 1.1× 265 0.7× 317 1.2× 259 1.1× 32 0.1× 31 1.1k
Yu Ren China 21 447 0.9× 399 1.0× 520 2.0× 185 0.8× 31 0.1× 62 1.4k
José Luis Casanova Roque Spain 19 395 0.8× 186 0.5× 493 1.9× 241 1.0× 33 0.1× 70 1.1k
Xihong Cui China 22 379 0.7× 149 0.4× 281 1.1× 548 2.3× 139 0.6× 44 1.3k
Aimrun Wayayok Malaysia 22 360 0.7× 689 1.7× 401 1.5× 448 1.9× 80 0.3× 145 1.8k
Mohsen Azadbakht Iran 17 432 0.8× 239 0.6× 311 1.2× 396 1.7× 42 0.2× 32 905

Countries citing papers authored by Luwei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Luwei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luwei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Luwei Feng. A scholar is included among the top collaborators of Luwei Feng 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 Luwei Feng. Luwei Feng 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.
Jin, Hongxiao, et al.. (2026). Varying sensitivities of RED-NIR-based vegetation indices to the input reflectance affect the detected long-term trends. ISPRS Journal of Photogrammetry and Remote Sensing. 233. 247–265.
2.
Feng, Luwei, Yumiao Wang, Rasmus Fensholt, et al.. (2025). Globally increased cropland soil exposure to climate extremes in recent decades. Nature Communications. 16(1). 4354–4354. 5 indexed citations
3.
4.
Wang, Yumiao, Luwei Feng, Weiwei Sun, et al.. (2024). A lightweight CNN-Transformer network for pixel-based crop mapping using time-series Sentinel-2 imagery. Computers and Electronics in Agriculture. 226. 109370–109370. 21 indexed citations
5.
Dou, Yujie, Feng Tian, Jean‐Pierre Wigneron, et al.. (2024). Satellite observations indicate slower recovery of woody components compared to upper-canopy and leaves in tropical rainforests after drought. Communications Earth & Environment. 5(1). 3 indexed citations
6.
Dou, Yujie, Xiaoye Tong, Stéphanie Horion, et al.. (2024). The success of ecological engineering projects on vegetation restoration in China strongly depends on climatic conditions. The Science of The Total Environment. 915. 170041–170041. 18 indexed citations
7.
Tian, Feng, Hongxiao Jin, Zhanzhang Cai, et al.. (2024). Assessing topographic effects on forest responses to drought with multiple seasonal metrics from Sentinel-2. International Journal of Applied Earth Observation and Geoinformation. 128. 103789–103789. 4 indexed citations
8.
Yin, Yuwei, Luwei Feng, Xiaoye Tong, et al.. (2024). A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types. Earth system science data. 16(7). 3307–3332. 8 indexed citations
9.
Feng, Luwei, et al.. (2024). Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping. Remote Sensing. 16(8). 1464–1464. 5 indexed citations
10.
Wang, Yumiao, Luwei Feng, Zhou Zhang, & Feng Tian. (2023). An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 199. 102–117. 45 indexed citations
11.
Du, Qingyun, Huanfeng Shen, Luwei Feng, et al.. (2023). Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images. Computers and Electronics in Agriculture. 207. 107723–107723. 32 indexed citations
12.
Feng, Luwei, Zhou Zhang, Yuchi Ma, et al.. (2021). Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 28 indexed citations
13.
Zhang, Huihui, et al.. (2021). Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models. ISPRS International Journal of Geo-Information. 10(3). 186–186. 12 indexed citations
14.
Feng, Luwei, Yumiao Wang, Zhou Zhang, & Qingyun Du. (2021). Geographically and temporally weighted neural network for winter wheat yield prediction. Remote Sensing of Environment. 262. 112514–112514. 81 indexed citations
15.
Feng, Luwei, Zhou Zhang, Yuchi Ma, et al.. (2020). Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. Remote Sensing. 12(12). 2028–2028. 194 indexed citations
16.
Wang, Yumiao, Zhou Zhang, Luwei Feng, Qingyun Du, & Troy Runge. (2020). Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States. Remote Sensing. 12(8). 1232–1232. 125 indexed citations
17.
18.
Wang, Yumiao, Luwei Feng, Sijia Li, Fu Ren, & Qingyun Du. (2020). A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China. CATENA. 188. 104425–104425. 165 indexed citations
19.
Wang, Yumiao, Xueling Wu, Zhangjian Chen, et al.. (2019). Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. International Journal of Environmental Research and Public Health. 16(3). 368–368. 88 indexed citations
20.
Feng, Luwei, Yiyan Li, Yumiao Wang, & Qingyun Du. (2019). Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model. Atmospheric Environment. 223. 117242–117242. 62 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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