Kaiyi Wang
Impact in
- Pollution top 2%
- Heavy metals in environment
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
Papers in ⓘ
-
- Spectroscopy and Chemometric Analyses 8
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- Smart Agriculture and AI 16
- Genetics and Plant Breeding 7
- Co-authors
- Shuzhen Zhang (1 shared paper)Xiangyang Qin (1 shared paper)Jihua Wang (1 shared paper)Ping Han (1 shared paper)Anxiang Lu (1 shared paper)Yanyun Han (23 shared papers)Shouhui Pan (21 shared papers)Zhibin Wang (9 shared papers)
- Journals
- Computers and Electronics in Agriculture (9 papers)Acta Astronautica (3 papers)Frontiers in Plant Science (2 papers)Molecules (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kaiyi Wang
74 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Pollution 366
- Analytical Chemistry 228
- Radiological and Ultrasound Technology 119
- Biophysics 67
- 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 84 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 | 411 |
| 2 | 2009 | 101 | |
| 3 | 2019 | 95 | |
| 4 | 2017 | 80 | |
| 5 | 2013 | 38 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2023 | 26 | |
| 9 | 2018 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2023 | 25 | |
| 12 | 2024 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2018 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2017 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2022 | 15 |
About Kaiyi Wang
Kaiyi Wang is a scholar working on Analytical Chemistry, Plant Science, Complementary and alternative medicine, Biophysics and Pharmacology, having authored 84 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), Dermatology and Skin Diseases (4 papers), Crop Yield and Soil Fertility (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Pollution (366 citations), Analytical Chemistry (228 citations), Radiological and Ultrasound Technology (119 citations), Biophysics (67 citations) and Industrial and Manufacturing Engineering (81 citations). Kaiyi Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuzhen Zhang, Xiangyang Qin, Jihua Wang, Ping Han, Anxiang Lu, Yanyun Han, Shouhui Pan, Zhibin Wang, Zhongqiang Liu and Xihui Bian. Their work appears in journals such as Computers and Electronics in Agriculture, Acta Astronautica, Frontiers in Plant Science, Molecules 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.