Changping Huang

4.6k total citations
64 papers, 1.1k citations indexed

About

Changping Huang is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Changping Huang has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 21 papers in Global and Planetary Change and 19 papers in Atmospheric Science. Recurrent topics in Changping Huang's work include Remote Sensing in Agriculture (41 papers), Remote Sensing and Land Use (16 papers) and Remote-Sensing Image Classification (14 papers). Changping Huang is often cited by papers focused on Remote Sensing in Agriculture (41 papers), Remote Sensing and Land Use (16 papers) and Remote-Sensing Image Classification (14 papers). Changping Huang collaborates with scholars based in China, Australia and Italy. Changping Huang's co-authors include Lifu Zhang, Qingxi Tong, Wenzhe Jiao, Hongming Zhang, Siheng Wang, Taixia Wu, Ze Zhang, Na Qiao, Yi Cen and Xiaoyan Kang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Changping Huang

57 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
Changping Huang China 18 569 555 265 218 200 64 1.1k
Raphaël d’Andrimont Italy 15 683 1.2× 414 0.7× 276 1.0× 222 1.0× 340 1.7× 38 1.2k
Jihua Meng China 18 736 1.3× 463 0.8× 324 1.2× 226 1.0× 329 1.6× 47 1.1k
Jingfeng Huang China 9 470 0.8× 186 0.3× 291 1.1× 174 0.8× 210 1.1× 18 833
Alan J. Stern United States 11 617 1.1× 320 0.6× 223 0.8× 140 0.6× 324 1.6× 26 896
Marcela Arias France 6 852 1.5× 420 0.8× 248 0.9× 250 1.1× 335 1.7× 8 1.1k
Julia Amorós-López Spain 16 714 1.3× 500 0.9× 181 0.7× 163 0.7× 213 1.1× 34 1.1k
Anke Schickling Germany 16 916 1.6× 879 1.6× 355 1.3× 116 0.5× 283 1.4× 33 1.2k
Javier Pacheco‐Labrador Spain 22 736 1.3× 800 1.4× 258 1.0× 151 0.7× 269 1.3× 43 1.1k
Christopher Seifert United States 8 696 1.2× 328 0.6× 427 1.6× 154 0.7× 254 1.3× 9 1.1k
Hitoshi Toritani Japan 8 645 1.1× 419 0.8× 252 1.0× 220 1.0× 240 1.2× 21 895

Countries citing papers authored by Changping Huang

Since Specialization
Citations

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

Fields of papers citing papers by Changping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changping Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Changping Huang. A scholar is included among the top collaborators of Changping Huang 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 Changping Huang. Changping Huang 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.
Wang, Jin, et al.. (2025). Monitoring of spatial heterogeneity of chlorophyll fluorescence of cotton leaves at the early stage of Verticillium wilt based on spectral imaging. Industrial Crops and Products. 226. 120663–120663. 2 indexed citations
2.
Huang, Changping, Junru Zhou, Xiaofeng Qiu, et al.. (2025). A practical approach for grading cotton Verticillium wilt severity for remote sensing monitoring. Agricultural and Forest Meteorology. 368. 110559–110559.
3.
Huang, Wenjiang, Yingying Dong, Yanru Huang, et al.. (2025). Temporal analyses of global suitability distribution for fall armyworm based on Multiple factors. Ecological Indicators. 171. 113181–113181. 2 indexed citations
4.
Gao, Yi, Changping Huang, Xia Zhang, Ze Zhang, & Bing Chen. (2025). Vertical stratification-enabled early monitoring of cotton Verticillium wilt using in-situ leaf spectroscopy via machine learning models. Frontiers in Plant Science. 16. 1599877–1599877.
5.
Chen, Xiangyu, et al.. (2023). Monitoring defoliation rate and boll-opening rate of machine-harvested cotton based on UAV RGB images. European Journal of Agronomy. 151. 126976–126976. 9 indexed citations
6.
Kang, Xiaoyan, Changping Huang, Jing M. Chen, et al.. (2023). The 10-m cotton maps in Xinjiang, China during 2018–2021. Scientific Data. 10(1). 688–688. 13 indexed citations
7.
Kang, Xiaoyan, Xiaofeng Qiu, Lulu Ma, et al.. (2023). Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology. Computers and Electronics in Agriculture. 216. 108497–108497. 20 indexed citations
8.
Huang, Changping, et al.. (2023). Global–Local 3-D Convolutional Transformer Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–20. 42 indexed citations
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Zhang, Lifu, et al.. (2023). Contrastive Self-Supervised Two-Domain Residual Attention Network with Random Augmentation Pool for Hyperspectral Change Detection. Remote Sensing. 15(15). 3739–3739. 7 indexed citations
12.
Guo, Li, Chaoyang Wu, Yanan Chen, et al.. (2023). Increasing temperature regulates the advance of peak photosynthesis timing in the boreal ecosystem. The Science of The Total Environment. 882. 163587–163587. 36 indexed citations
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14.
Zhang, Lifu, et al.. (2023). Considering Nonoverlapped Bands Construction: A General Dictionary Learning Framework for Hyperspectral and Multispectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 8 indexed citations
15.
Ma, Lulu, et al.. (2022). Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image. Frontiers in Plant Science. 13. 925986–925986. 34 indexed citations
16.
Wang, Siheng, Dong Yang, Zhen Li, et al.. (2019). A Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest Learning. Remote Sensing. 11(21). 2547–2547. 9 indexed citations
17.
Huang, Changping, et al.. (2016). Automated observation of diurnal solar-induced chlorophyll fluorescence for better understanding of crop photosynthesis. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
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Huang, Changping, et al.. (2011). [Study on discrimination of varieties of milk based on FISS imaging spectral data].. PubMed. 31(1). 214–8. 3 indexed citations
20.
Huang, Changping. (2010). Development and application of the field imaging spectrometer system. National Remote Sensing Bulletin. 15 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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