Minzan Li

4.7k total citations · 3 hit papers
236 papers, 3.4k citations indexed

About

Minzan Li is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Minzan Li has authored 236 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 78 papers in Analytical Chemistry and 74 papers in Ecology. Recurrent topics in Minzan Li's work include Spectroscopy and Chemometric Analyses (78 papers), Remote Sensing in Agriculture (73 papers) and Remote Sensing and Land Use (56 papers). Minzan Li is often cited by papers focused on Spectroscopy and Chemometric Analyses (78 papers), Remote Sensing in Agriculture (73 papers) and Remote Sensing and Land Use (56 papers). Minzan Li collaborates with scholars based in China, United States and Japan. Minzan Li's co-authors include Hong Sun, Lang Qiao, Lihua Zheng, Ruomei Zhao, Yao Zhang, Dehua Gao, Weijie Tang, Lulu An, Wei Yang and Qin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Minzan Li

226 papers receiving 3.3k citations

Hit Papers

Transfer-learning-based approach for leaf chlorophyll con... 2021 2026 2022 2024 2021 2022 2025 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minzan Li China 33 1.9k 1.4k 1.2k 804 313 236 3.4k
Dongyan Zhang China 34 1.8k 0.9× 1.1k 0.8× 1.2k 1.0× 435 0.5× 265 0.8× 206 3.3k
Yufeng Ge United States 36 2.2k 1.2× 1.5k 1.1× 948 0.8× 1.5k 1.9× 133 0.4× 173 4.4k
Vasit Sagan United States 28 1.3k 0.7× 1.9k 1.3× 477 0.4× 1.3k 1.6× 370 1.2× 76 3.7k
Hong Sun China 25 1.1k 0.6× 961 0.7× 683 0.6× 383 0.5× 205 0.7× 98 1.8k
Maitiniyazi Maimaitijiang United States 23 1.5k 0.8× 2.1k 1.5× 464 0.4× 1.3k 1.6× 355 1.1× 42 3.5k
Huichun Ye China 31 1.4k 0.8× 1.8k 1.3× 618 0.5× 865 1.1× 302 1.0× 117 3.0k
Hao Yang China 36 2.1k 1.1× 2.3k 1.7× 489 0.4× 1.4k 1.7× 467 1.5× 176 4.2k
Jesús Delegido Spain 28 1.1k 0.6× 2.1k 1.5× 357 0.3× 1.1k 1.3× 285 0.9× 89 3.6k
Wenshan Guo China 33 2.3k 1.2× 1.1k 0.8× 362 0.3× 606 0.8× 373 1.2× 129 3.4k
Yanbo Huang United States 37 3.0k 1.6× 2.7k 1.9× 803 0.7× 1.1k 1.4× 527 1.7× 166 5.7k

Countries citing papers authored by Minzan Li

Since Specialization
Citations

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

Fields of papers citing papers by Minzan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minzan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Minzan Li. A scholar is included among the top collaborators of Minzan Li 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 Minzan Li. Minzan Li 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.
Liu, Yang, Lulu An, Hong Sun, et al.. (2025). Exploring UAV narrow-band hyperspectral indices and crop functional traits derived from radiative transfer models to detect wheat powdery mildew. International Journal of Applied Earth Observation and Geoinformation. 141. 104627–104627. 3 indexed citations
2.
Shu, Lan, et al.. (2024). UAV remote sensing monitoring of winter wheat tiller number based on vegetation pixel extraction and mixed-features selection. International Journal of Applied Earth Observation and Geoinformation. 131. 103940–103940. 7 indexed citations
3.
Liu, Guohui, Nan Wang, Lulu An, et al.. (2024). Crop chlorophyll detection based on multiexcitation fluorescence imaging analysis. Biosystems Engineering. 246. 41–53. 2 indexed citations
4.
Liu, Kaidi, et al.. (2024). A handheld rapid detector of soil total nitrogen based on phase-locked amplification technology. Computers and Electronics in Agriculture. 224. 109233–109233. 5 indexed citations
5.
Tang, Weijie, Ruomei Zhao, Guohui Liu, et al.. (2024). Improving detection of wheat canopy chlorophyll content based on inhomogeneous light correction. Computers and Electronics in Agriculture. 226. 109361–109361. 1 indexed citations
6.
Liu, Yang, Guohui Liu, Hong Sun, et al.. (2024). Exploring multi-features in UAV based optical and thermal infrared images to estimate disease severity of wheat powdery mildew. Computers and Electronics in Agriculture. 225. 109285–109285. 16 indexed citations
7.
Yang, Wei, et al.. (2024). Improving the estimation accuracy of soil organic matter based on the fusion of near-infrared and Raman spectroscopy using the outer-product analysis. Computers and Electronics in Agriculture. 219. 108760–108760. 12 indexed citations
8.
Yang, Wei, et al.. (2023). Development and testing of vehicle-mounted soil bulk density detection system. Measurement. 211. 112604–112604. 4 indexed citations
9.
Zhang, Haiyang, et al.. (2023). Winter wheat yield prediction using integrated Landsat 8 and Sentinel-2 vegetation index time-series data and machine learning algorithms. Computers and Electronics in Agriculture. 213. 108250–108250. 37 indexed citations
10.
Cao, Ruyue, et al.. (2023). Global path conflict detection algorithm of multiple agricultural machinery cooperation based on topographic map and time window. Computers and Electronics in Agriculture. 208. 107773–107773. 13 indexed citations
11.
Zhao, Ruomei, Weijie Tang, Lulu An, et al.. (2023). Solar-induced chlorophyll fluorescence extraction based on heterogeneous light distribution for improving in-situ chlorophyll content estimation. Computers and Electronics in Agriculture. 215. 108405–108405. 11 indexed citations
12.
Zhao, Ruomei, Lulu An, Weijie Tang, et al.. (2023). Improving chlorophyll content detection to suit maize dynamic growth effects by deep features of hyperspectral data. Field Crops Research. 297. 108929–108929. 17 indexed citations
13.
Li, Qichen, et al.. (2021). A case study on water use efficiency in extreme water-saving cultivation of tomato plants. European Journal of Horticultural Science. 86(5). 556–566. 1 indexed citations
14.
Liu, Ning, et al.. (2020). Discussion on Spectral Variables Selection of Potato Chlorophyll Using Model Population Analysis. Guangpuxue yu guangpu fenxi. 40(7). 2259. 3 indexed citations
15.
Zhang, Yao, Qiming Qin, Huazhong Ren, et al.. (2018). Optimal Hyperspectral Characteristics Determination for Winter Wheat Yield Prediction. Remote Sensing. 10(12). 2015–2015. 35 indexed citations
16.
Zheng, Lihua, et al.. (2016). Grain yield data collection and service for heterogeneous platforms.. Nongye gongcheng xuebao. 32(9). 142–149. 1 indexed citations
17.
Zhang, Yao, et al.. (2014). [Detection of chlorophyll content in water body based on two-dimensional correlation spectroscopy].. PubMed. 34(2). 389–93. 3 indexed citations
18.
Li, Wen, Ming Sun, & Minzan Li. (2013). A Survey of Determination for Organophosphorus Pesticide Residue in Agricultural Products. Advance Journal of Food Science and Technology. 5(4). 381–386. 11 indexed citations
19.
Li, Minzan, et al.. (2007). Vegetation index analysis of multi‐source remote sensing data in coal mine wasteland. New Zealand Journal of Agricultural Research. 50(5). 1243–1248. 9 indexed citations
20.
Li, Minzan. (2004). The Technique of Crop Yield Monitor and Key Equipment. 1 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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