Ku Wang
Impact in
- Environmental Engineering top 5%
- Soil Geostatistics and Mapping
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
Papers in
- Ecology 7
- Remote Sensing in Agriculture 6
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- Soil Geostatistics and Mapping 5
- Co-authors
- Weidong Li (2 shared papers)Chuanrong Zhang (2 shared papers)Won Suk Lee (5 shared papers)Han Li (1 shared paper)Han Li (3 shared papers)Haiying Tao (2 shared papers)Jie Zhu (2 shared papers)Shaofei Jin (6 shared papers)
- Journals
- Precision Agriculture (2 papers)Ecological Indicators (1 paper)Computers and Electronics in Agriculture (1 paper)Agronomy (1 paper)Journal of Sustainable Metallurgy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ku Wang
28 papers receiving 576 citations
Peers
Comparison fields: 5 of 84
- Environmental Engineering 207
- Soil Science 112
- Analytical Chemistry 94
- Ecology 134
- Plant Science 182
Countries citing papers authored by Ku Wang
This map shows the geographic impact of Ku 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 Ku Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ku Wang more than expected).
Fields of papers citing papers by Ku Wang
This network shows the impact of papers produced by Ku 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 Ku Wang. The network helps show where Ku Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ku 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 150 | |
| 2 | 2014 | 73 | |
| 3 | 2012 | 58 | |
| 4 | 2016 | 54 | |
| 5 | 2013 | 53 | |
| 6 | 2020 | 32 | |
| 7 | 2021 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 13 | |
| 13 | Environmental Factors Affecting Temporal and Spatial Dynamics of Soil Erosion in Xingguo County, South China | 2005 | 13 |
| 14 | 2019 | 10 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | [Fast discrimination of varieties of corn based on near infrared spectra and biomimetic pattern recognition]. | 2009 | 4 |
| 18 | 2023 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2012 | 2 |
About Ku Wang
Ku Wang is a scholar working on Ecology, Environmental Engineering, Plant Science, Computer Vision and Pattern Recognition and Media Technology, having authored 29 papers that have together received 599 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Image and Object Detection Techniques (5 papers), Soil Geostatistics and Mapping (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Remote Sensing and Land Use (4 papers), Smart Agriculture and AI (4 papers), Remote-Sensing Image Classification (3 papers) and Forest, Soil, and Plant Ecology in China (2 papers). The work is most often cited by research in Environmental Engineering (207 citations), Soil Science (112 citations), Analytical Chemistry (94 citations), Ecology (134 citations) and Plant Science (182 citations). Ku Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weidong Li, Chuanrong Zhang, Won Suk Lee, Han Li, Han Li, Haiying Tao, Jie Zhu, Shaofei Jin, Ying Yang and Han Li. Their work appears in journals such as Precision Agriculture, Ecological Indicators, Computers and Electronics in Agriculture, Agronomy and Journal of Sustainable Metallurgy.
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.