Li He

1.7k total citations
53 papers, 1.3k citations indexed

About

Li He is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Li He has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 33 papers in Ecology and 14 papers in Environmental Engineering. Recurrent topics in Li He's work include Remote Sensing in Agriculture (33 papers), Leaf Properties and Growth Measurement (21 papers) and Spectroscopy and Chemometric Analyses (11 papers). Li He is often cited by papers focused on Remote Sensing in Agriculture (33 papers), Leaf Properties and Growth Measurement (21 papers) and Spectroscopy and Chemometric Analyses (11 papers). Li He collaborates with scholars based in China, Canada and Mexico. Li He's co-authors include Wei Feng, Tiancai Guo, Binbin Guo, Jianzhao Duan, Yonghua Wang, Xiao Song, Yunji Zhu, Chenyang Wang, Chenyang Wang and Zhijie Wang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Li He

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li He China 22 853 829 382 246 170 53 1.3k
Meichen Feng China 17 464 0.5× 507 0.6× 310 0.8× 235 1.0× 147 0.9× 93 1.0k
Fábio Henrique Rojo Baio Brazil 18 823 1.0× 681 0.8× 241 0.6× 243 1.0× 200 1.2× 123 1.4k
Yonggui Xiao China 19 1.1k 1.3× 900 1.1× 213 0.6× 391 1.6× 167 1.0× 36 1.6k
David J. Bonfil Israel 24 1.3k 1.5× 955 1.2× 290 0.8× 340 1.4× 328 1.9× 74 2.1k
Shanyu Huang China 17 762 0.9× 1.1k 1.3× 197 0.5× 616 2.5× 253 1.5× 26 1.4k
Ittai Herrmann Israel 20 907 1.1× 948 1.1× 452 1.2× 285 1.2× 230 1.4× 48 1.5k
Chenwei Nie China 18 641 0.8× 673 0.8× 219 0.6× 295 1.2× 176 1.0× 60 1.1k
M. R. Schlemmer United States 11 1.0k 1.2× 1.0k 1.2× 241 0.6× 390 1.6× 293 1.7× 13 1.5k
Bodo Mistele Germany 22 1.4k 1.6× 1.4k 1.6× 350 0.9× 462 1.9× 285 1.7× 31 1.9k
Xiaohe Gu China 18 455 0.5× 617 0.7× 203 0.5× 318 1.3× 169 1.0× 117 1.0k

Countries citing papers authored by Li He

Since Specialization
Citations

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

Fields of papers citing papers by Li He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li He

This figure shows the co-authorship network connecting the top 25 collaborators of Li He. A scholar is included among the top collaborators of Li He 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 Li He. Li He 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.
2.
He, Li, Qi‐Wen Chen, Geng Ma, et al.. (2025). Multi-angular spectroscopic detection of winter wheat nitrogen fertilizer utilization status using integrated feature selection and machine learning. Computers and Electronics in Agriculture. 231. 109916–109916. 4 indexed citations
3.
Wu, Ke, et al.. (2025). Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones. Computers and Electronics in Agriculture. 232. 110120–110120. 4 indexed citations
4.
Song, Li, Yahui Li, Jianzhao Duan, et al.. (2025). Early detection of wheat powdery mildew: A multi-source in situ remote sensing approach enabled by stacked ensemble learning. Artificial Intelligence in Agriculture. 16(1). 124–138.
5.
Zhang, Shaohua, et al.. (2024). Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis. Computers and Electronics in Agriculture. 222. 109022–109022. 21 indexed citations
6.
Wang, Wenjie, Ye Yang, Li He, et al.. (2024). Effects of Feeding Systems on the Growth Performance, Carcass Characteristics, and Meat Quality in Sheep: A Meta-Analysis. Animals. 14(18). 2738–2738. 2 indexed citations
7.
He, Li, Qingfeng Miao, Haibin Shi, et al.. (2024). Remote sensing monitoring of irrigated area in the non-growth season and of water consumption analysis in a large-scale irrigation district. Agricultural Water Management. 303. 109020–109020. 6 indexed citations
8.
Ren, Chunhuan, Wenjie Wang, Li He, et al.. (2024). Effect of Replacing Alfalfa Hay with Common Vetch Hay in Sheep Diets on Growth Performance, Rumen Fermentation and Rumen Microbiota. Animals. 14(15). 2182–2182. 3 indexed citations
9.
10.
Song, Li, Ke Wu, Yahui Li, et al.. (2024). Early diagnosis of wheat powdery mildew using solar-induced chlorophyll fluorescence and hyperspectral reflectance. European Journal of Agronomy. 162. 127427–127427. 5 indexed citations
11.
Xu, Yang, Li He, Litao Sun, et al.. (2023). A deep learning model for rapid classification of tea coal disease. Plant Methods. 19(1). 98–98. 19 indexed citations
12.
13.
Zhang, Yanyan, Xiao Li, Li Song, et al.. (2022). Hyperspectral Monitoring of Powdery Mildew Disease Severity in Wheat Based on Machine Learning. Frontiers in Plant Science. 13. 828454–828454. 53 indexed citations
14.
He, Li, et al.. (2020). Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat. Scientific Reports. 10(1). 13943–13943. 30 indexed citations
15.
Guo, Binbin, Li He, Yangyang Wang, et al.. (2019). Root and nitrate-N distribution and optimization of N input in winter wheat. Scientific Reports. 9(1). 18018–18018. 9 indexed citations
16.
Duan, Jianzhao, Yunhui Shao, Li He, et al.. (2019). Optimizing nitrogen management to achieve high yield, high nitrogen efficiency and low nitrogen emission in winter wheat. The Science of The Total Environment. 697. 134088–134088. 97 indexed citations
17.
Duan, Jianzhao, Yapeng Wu, Yi Zhou, et al.. (2018). Approach to Higher Wheat Yield in the Huang-Huai Plain: Improving Post-anthesis Productivity to Increase Harvest Index. Frontiers in Plant Science. 9. 1457–1457. 28 indexed citations
18.
Feng, Wei, et al.. (2017). Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress. Frontiers in Plant Science. 8. 1219–1219. 49 indexed citations
19.
Liu, Bin, et al.. (2016). Optimal selection of hyperspectral sensitive band for winter wheat fresh biomass estimation.. Nongye gongcheng xuebao. 32(16). 125–134. 1 indexed citations
20.
He, Li. (2009). Dynamic change of vegetation coverage of Mu Us Sandland over the 17 years by remote sensing monitor. Ganhanqu ziyuan yu huanjing. 8 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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