Minzan Li

4.7k citations
236 papers · 3.4k · 3 hit papers · h-index 33

Impact in

Papers in

Minzan Li

226 papers receiving 3.3k citations

Minzan Li's Hit Papers

A novel winter wheat yield prediction framework using fused spatial–temporal-spectral (STS) information from Sentinel-2 and Landsat 8 via improved Pix2Pix network 2025 · 14 citations
140+1+3Years since publication50100150

Peers

Minzan Li
Comparison fields: 5 of 121
  • Analytical Chemistry 1.2k
  • Environmental Engineering 804
  • Ecology 1.4k
  • Plant Science 1.9k
  • Industrial and Manufacturing Engineering 291
Replace V. Alchanatis with:
V. Alchanatis Israel
Yufeng Ge United States
Haiyan Cen China
Hong Sun China
Yanbo Huang United States
Dongyan Zhang China
Yubin Lan China
Anne‐Katrin Mahlein Germany
Hao Yang China
Tao Cheng China
Minzan Li relative to V. Alchanatis Israel V. Alchanatis's profile →
Citations per field
00.5×1.5×2.3×
V. Alchanatis · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Minzan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minzan Li Line = papers co-authored together Minzan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Hit paper breakdown →
2021155
2
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
Hit paper breakdown →
2022147
3 202191
4 201285
5 201974
6 201869
7 202069
8 201866
9 201866
10 201058
11 202254
12 202154
13 202152
14 202051
15 201550
16 202149
17 202047
18 200946
19 201743
20 202243

About Minzan Li

Minzan Li is a scholar working on Plant Science, Analytical Chemistry, Ecology, Atmospheric Science and Environmental Engineering, having authored 236 papers that have together received 3.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (78 papers), Remote Sensing in Agriculture (73 papers), Remote Sensing and Land Use (56 papers), Smart Agriculture and AI (50 papers), Water Quality Monitoring and Analysis (42 papers), Leaf Properties and Growth Measurement (27 papers), Soil Geostatistics and Mapping (23 papers) and Remote Sensing and LiDAR Applications (14 papers). The work is most often cited by research in Analytical Chemistry (1.2k citations), Environmental Engineering (804 citations), Ecology (1.4k citations), Plant Science (1.9k citations) and Industrial and Manufacturing Engineering (291 citations). Minzan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong Sun, Lang Qiao, Lihua Zheng, Ruomei Zhao, Yao Zhang, Dehua Gao, Weijie Tang, Lulu An, Wei Yang and Qin Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Remote Sensing, Biosystems Engineering and Sensors.

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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