Wei Su

122 papers receiving 3.2k citations

Wei Su's Hit Papers

Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model 2015 · 370 citations
3700+3+7Years since publication100200300

Peers

Wei Su
Comparison fields: 5 of 133
  • Environmental Engineering 872
  • Ecology 1.5k
  • Global and Planetary Change 1.2k
  • Media Technology 330
  • Atmospheric Science 536
Replace Dehai Zhu with:
Dehai Zhu China
Gregory J. McDermid Canada
Andrea S. Laliberte United States
Renaud Mathieu South Africa
Enrico Corrado Borgogno-Mondino Italy
Rick L. Lawrence United States
Renato Fontes Guimarães Brazil
Osmar Abílio de Carvalho Júnior Brazil
Caitriana Steele United States
Thomas Udelhoven Germany
Wei Su relative to Dehai Zhu China Dehai Zhu's profile →
Citations per field
00.5×1.5×
Dehai Zhu · 1×
Citations per year

Countries citing papers authored by Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Su, 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 Wei Su Line = papers co-authored together Wei Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model
Hit paper breakdown →
2015370
2 2018222
3 2008196
4 2015151
5 2021143
6 2008125
7 202395
8 201094
9 201985
10 202379
11 201878
12 202175
13 201271
14 201869
15 202262
16 202156
17 201755
18 201948
19 202048
20 202146

About Wei Su

Wei Su is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Media Technology and Atmospheric Science, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (49 papers), Remote Sensing and Land Use (21 papers), Remote Sensing and LiDAR Applications (20 papers), Remote-Sensing Image Classification (17 papers), Plant Water Relations and Carbon Dynamics (13 papers), Land Use and Ecosystem Services (12 papers), Leaf Properties and Growth Measurement (9 papers) and Urban Heat Island Mitigation (8 papers). The work is most often cited by research in Environmental Engineering (872 citations), Ecology (1.5k citations), Global and Planetary Change (1.2k citations), Media Technology (330 citations) and Atmospheric Science (536 citations). Wei Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianxi Huang, Dehai Zhu, Xiaodong Zhang, Hongyuan Ma, Xuecao Li, Shunlin Liang, Yanbo Huang, Yunhao Chen, Jing Li and Wenbin Wu. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, International Journal of Remote Sensing, Mathematical and Computer Modelling and Agricultural and Forest Meteorology.

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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