Huiling Long

1.1k total citations
38 papers, 819 citations indexed

About

Huiling Long is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Huiling Long has authored 38 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 15 papers in Atmospheric Science and 14 papers in Global and Planetary Change. Recurrent topics in Huiling Long's work include Remote Sensing in Agriculture (25 papers), Remote Sensing and Land Use (14 papers) and Land Use and Ecosystem Services (8 papers). Huiling Long is often cited by papers focused on Remote Sensing in Agriculture (25 papers), Remote Sensing and Land Use (14 papers) and Land Use and Ecosystem Services (8 papers). Huiling Long collaborates with scholars based in China and United States. Huiling Long's co-authors include Xiaobing Li, Hong Wang, Jingdun Jia, Xiaobing Li, Guijun Yang, Haikuan Feng, Hong Wang, Xiaodong Yang, Zhenhai Li and Liangji Xu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Sensors and International Journal of Remote Sensing.

In The Last Decade

Huiling Long

37 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiling Long China 13 346 240 203 168 147 38 819
Adélia Sousa Portugal 13 364 1.1× 399 1.7× 255 1.3× 107 0.6× 96 0.7× 32 827
Alan Rodrigo Panosso Brazil 20 200 0.6× 208 0.9× 346 1.7× 93 0.6× 361 2.5× 107 1.4k
Ritvik Sahajpal United States 17 345 1.0× 622 2.6× 233 1.1× 331 2.0× 180 1.2× 43 1.5k
Sylvestre Njakou Djomo Denmark 19 247 0.7× 342 1.4× 294 1.4× 565 3.4× 109 0.7× 28 1.5k
Nicola Dal Ferro Italy 24 243 0.7× 123 0.5× 258 1.3× 48 0.3× 251 1.7× 68 1.5k
Jiaochan Hu China 13 317 0.9× 310 1.3× 78 0.4× 110 0.7× 96 0.7× 24 643
DoKyoung Lee United States 20 162 0.5× 173 0.7× 164 0.8× 479 2.9× 437 3.0× 85 1.4k
Muhammad Awais China 20 137 0.4× 112 0.5× 163 0.8× 170 1.0× 256 1.7× 72 1.2k
Jingting Zhang China 24 260 0.8× 263 1.1× 129 0.6× 59 0.4× 315 2.1× 95 1.5k

Countries citing papers authored by Huiling Long

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiling Long

This figure shows the co-authorship network connecting the top 25 collaborators of Huiling Long. A scholar is included among the top collaborators of Huiling Long 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 Huiling Long. Huiling Long 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.
Yang, Guijun, Zhenhong Li, Yuchun Pan, et al.. (2025). Estimation of SOC using VNIR and MIR hyperspectral data based on spectral-to-image transforming and multi-channel CNN. Computers and Electronics in Agriculture. 231. 109986–109986. 2 indexed citations
2.
Long, Huiling, Hao Yang, Xiaoyu Song, et al.. (2025). Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking. The Crop Journal. 13(3). 961–974. 3 indexed citations
3.
Li, Heli, Pingheng Li, Haikuan Feng, et al.. (2025). Revealing the spectral bands that make generic remote estimates of leaf area index in wheat crop over various interference factors and planting conditions. Computers and Electronics in Agriculture. 235. 110381–110381. 1 indexed citations
4.
Zhang, Chengjian, Haikuan Feng, Huiling Long, et al.. (2024). Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data. Computers and Electronics in Agriculture. 224. 109212–109212. 17 indexed citations
5.
Xu, Xingang, Qingzhen Zhu, Meng Yang, et al.. (2024). Rice yield and quality estimation coupling hierarchical linear model with remote sensing. Computers and Electronics in Agriculture. 218. 108731–108731. 10 indexed citations
6.
7.
Li, Heli, Guijun Yang, Huiling Long, et al.. (2023). Estimating characteristic coefficient of vertical leaf nitrogen profile within wheat canopy from spectral reflectance. Computers and Electronics in Agriculture. 206. 107652–107652. 8 indexed citations
8.
Chen, Riqiang, Hao Yang, Guijun Yang, et al.. (2023). Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China. Remote Sensing. 15(16). 3958–3958. 9 indexed citations
9.
Xu, Xingang, Qingzhen Zhu, Guijun Yang, et al.. (2023). Object-Oriented Crop Classification Using Time Series Sentinel Images from Google Earth Engine. Remote Sensing. 15(5). 1353–1353. 24 indexed citations
10.
Xu, Xingang, Xiaoyu Song, Huiling Long, Meng Yang, & Haikuan Feng. (2023). Using Canopy Hyperspectral Measurements to Evaluate Nitrogen Status in Different Leaf Layers of Winter Wheat. 15. 1–4.
11.
Yang, Guijun, Liping Yang, Zhenhong Li, et al.. (2022). Dynamic Monitoring of Environmental Quality in the Loess Plateau from 2000 to 2020 Using the Google Earth Engine Platform and the Remote Sensing Ecological Index. Remote Sensing. 14(20). 5094–5094. 29 indexed citations
12.
Feng, Haikuan, Liangji Xu, Huiling Long, et al.. (2020). Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data. Sensors. 20(5). 1296–1296. 138 indexed citations
13.
Han, Liang, Guijun Yang, Huayang Dai, et al.. (2019). Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform. Plant Methods. 15(1). 57–57. 13 indexed citations
14.
Long, Huiling, et al.. (2017). Remote estimation of maize carbon sequestration capacity based on eddy covariance flux measurements. 5003–5006. 1 indexed citations
15.
Li, Xiaobing, Huiling Long, & Hong Wang. (2013). Vegetation cover estimation based on in-suit hyperspectral data: a case study for meadow steppe vegetation in Inner Mongolia, China.. International Journal of Agriculture and Biology. 15(2). 285–290. 6 indexed citations
16.
Wang, Hong, et al.. (2013). Evaluation of changes in ecological security in China’s Qinghai Lake Basin from 2000 to 2013 and the relationship to land use and climate change. Environmental Earth Sciences. 72(2). 341–354. 42 indexed citations
17.
Long, Huiling, et al.. (2012). The potential of MODIS for drought monitoring in Northern China. 84. 6412–6415. 1 indexed citations
18.
Long, Huiling, et al.. (2010). Net primary productivity in grassland ecosystem in Inner Mongolia and its relationship with climate.. 34(7). 781–791. 5 indexed citations
19.
20.
Long, Huiling, et al.. (2010). Time lag analysis between vegetation and climate change in Inner Mongolia. 27. 1513–1516. 6 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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