Huanjun Liu
- Ecology top 10%
- Environmental Engineering top 10%
- Global and Planetary Change top 10%
- Plant Science
- Atmospheric Science
- Co-authors
- Xinle ZhangChong LuoSusan L. UstinLinghua MengQiang YeDong GuoQiang FuZongming Wang
- Topics
- Remote Sensing in Agriculture (18 papers)Remote Sensing and Land Use (14 papers)Land Use and Ecosystem Services (7 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Huanjun Liu
33 papers receiving 454 citations
Peers
Comparison fields: 5 of 84
- Ecology 252
- Environmental Engineering 156
- Global and Planetary Change 154
- Plant Science 97
- Atmospheric Science 88
Countries citing papers authored by Huanjun Liu
This map shows the geographic impact of Huanjun Liu'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 Huanjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanjun Liu more than expected).
Fields of papers citing papers by Huanjun Liu
This network shows the impact of papers produced by Huanjun Liu. 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 Huanjun Liu. The network helps show where Huanjun Liu may publish in the future.
Co-authorship network of co-authors of Huanjun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Huanjun Liu. A scholar is included among the top collaborators of Huanjun Liu 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 Huanjun Liu. Huanjun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | Soil classification based on maximum likelihood method and features of multi-temporal remote sensing images in bare soil period. | 3 |
| 10 | 13 | |
| 11 | Soil moisture predicting model based on spectral absorption characteristics of the soil. | 4 |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 0 | |
| 15 | Research on liquid intelligent inspection system using machine vision | 4 |
| 16 | 1 | |
| 17 | Land Use Change in Sanjiang Plain and Its Driving Forces Analysis since 1954 | 87 |
| 18 | Changes in landscape patterns and driving forces in Huanan County, Sanjiang Plain, over the past 50 years | 1 |
| 19 | Comparing the Performance of Broad-band and Narrow-band Vegetation Indices for Estimation of Soybean LAI | 3 |
| 20 | Soybean LAI Estimation with in-situ Collected Hyperspectral Data Based on BP-Neural Networks | 1 |
About Huanjun Liu
Huanjun Liu is a scholar working on Atmospheric Science, Ecology and Environmental Engineering, having authored 38 papers that have together received 465 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (18 papers), Remote Sensing and Land Use (14 papers) and Land Use and Ecosystem Services (7 papers). The work is most often cited by research in Environmental Engineering (156 citations), Ecology (252 citations) and Global and Planetary Change (154 citations). Huanjun Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinle Zhang, Chong Luo, Susan L. Ustin, Linghua Meng, Qiang Ye, Dong Guo, Qiang Fu, Zongming Wang, Kaishan Song and Bai Zhang. Their work appears in journals such as Sensors, Agricultural and Forest Meteorology and Sustainability.
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.