Laigang Wang
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 6
- Soil Moisture and Remote Sensing 2
- Ecology top 10%
- Remote Sensing in Agriculture 16
- Agronomy and Crop Science top 10%
- Plant Science top 10%
- Smart Agriculture and AI 4
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- Land Use and Ecosystem Services 4
- Plant Water Relations and Carbon Dynamics 2
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- Remote Sensing and Land Use 11
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- Spectroscopy and Chemometric Analyses 6
Laigang Wang
28 papers receiving 346 citations
Peers
Comparison fields: 5 of 45
- Environmental Engineering 113
- Ecology 200
- Agronomy and Crop Science 59
- Plant Science 179
- Global and Planetary Change 86
Countries citing papers authored by Laigang Wang
This map shows the geographic impact of Laigang Wang'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 Laigang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laigang Wang more than expected).
Fields of papers citing papers by Laigang Wang
This network shows the impact of papers produced by Laigang Wang. 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 Laigang Wang. The network helps show where Laigang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laigang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 59 | |
| 14 | Rapid recognition of wheat based on high resolution remote sensing (GF-2) data and its accuracy analysis. | 2018 | 1 |
| 15 | Dynamic monitoring of straw burned area using multi-source satellite remote sensing data. | 2017 | 4 |
| 16 | Monitoring of autumn crop straw burning fire points in Henan province based on MODIS data. | 2016 | 1 |
| 17 | 2015 | 12 | |
| 18 | 2015 | 6 | |
| 19 | Impact of Meteorological Factors on Winter Wheat Yield in Middle and East Henan Province Based on Household Data | 2012 | 1 |
| 20 | Monitoring of winter wheat area by remote sensing based on Cokriging. | 2010 | 2 |
About Laigang Wang
Laigang Wang is a scholar working on Atmospheric Science, Environmental Engineering and Ecology, having authored 30 papers that have together received 353 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (16 papers), Remote Sensing and Land Use (11 papers), Remote Sensing and LiDAR Applications (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Land Use and Ecosystem Services (4 papers), Smart Agriculture and AI (4 papers), Soil Moisture and Remote Sensing (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Environmental Engineering (113 citations), Ecology (200 citations) and Agronomy and Crop Science (59 citations). Laigang Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xia Yao, Yan Zhu, Weixing Cao, Yongchao Tian, Kaicun Wang, Ben Zhao, Syed Tahir Ata-Ul-Karim, Xiaoli Niu, Aiwang Duan and Zhandong Liu. Their work appears in journals such as Scientific Reports, Frontiers in Plant Science and Bulletin of the American Meteorological Society.
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.