Kaiyi Wang
Impact in
- Pollution top 2%
- Heavy metals in environment
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- Radioactivity and Radon Measurements
Papers in
-
- Smart Agriculture and AI 16
- Genetics and Plant Breeding 7
- Leaf Properties and Growth Measurement 4
- Genetics 9
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Anxiang Lu (1 shared paper)Jihua Wang (1 shared paper)Xiangyang Qin (1 shared paper)Shuzhen Zhang (1 shared paper)Ping Han (1 shared paper)Yanyun Han (23 shared papers)Shouhui Pan (21 shared papers)Zhibin Wang (8 shared papers)
In The Last Decade
Kaiyi Wang
74 papers receiving 1.4k citations
Kaiyi Wang's Hit Papers
Peers
Comparison fields: 5 of 156
- Pollution 368
- Radiological and Ultrasound Technology 117
- Analytical Chemistry 225
- Biophysics 66
- Industrial and Manufacturing Engineering 81
Countries citing papers authored by Kaiyi Wang
This map shows the geographic impact of Kaiyi 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 Kaiyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyi Wang more than expected).
Fields of papers citing papers by Kaiyi Wang
This network shows the impact of papers produced by Kaiyi 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 Kaiyi Wang. The network helps show where Kaiyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyi 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multivariate and geostatistical analyses of the spatial distribution and origin of heavy metals in the agricultural soils in Shunyi, Beijing, China Hit paper breakdown → | 2012 | 415 |
| 2 | 2009 | 102 | |
| 3 | 2019 | 96 | |
| 4 | 2017 | 83 | |
| 5 | 2013 | 39 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2024 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2018 | 22 | |
| 15 | 2020 | 22 | |
| 16 | 2017 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 16 |
About Kaiyi Wang
Kaiyi Wang is a scholar working on Plant Science, Genetics, Analytical Chemistry, Information Systems and Molecular Biology, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Genetics and Plant Breeding (7 papers), Remote Sensing in Agriculture (5 papers), Crop Yield and Soil Fertility (4 papers), Leaf Properties and Growth Measurement (4 papers) and Acupuncture Treatment Research Studies (3 papers). The work is most often cited by research in Pollution (368 citations), Radiological and Ultrasound Technology (117 citations), Analytical Chemistry (225 citations), Biophysics (66 citations) and Industrial and Manufacturing Engineering (81 citations). Kaiyi Wang has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Anxiang Lu, Jihua Wang, Xiangyang Qin, Shuzhen Zhang, Ping Han, Yanyun Han, Shouhui Pan, Zhibin Wang, Feng Yang and Zhongqiang Liu. Their work appears in journals such as Computers and Electronics in Agriculture, Acta Astronautica, Sustainability, Frontiers in Plant Science and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.