Kun Bu
Impact in
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Environmental Engineering top 2%
- Urban Heat Island Mitigation
Papers in
-
- Land Use and Ecosystem Services 18
- Environmental Changes in China 10
- Plant Water Relations and Carbon Dynamics 9
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- Graphene research and applications 11
- Co-authors
- Jiuchun Yang (28 shared papers)Shuwen Zhang (28 shared papers)Liping Chang (20 shared papers)Lingxue Yu (23 shared papers)Fengqin Yan (11 shared papers)Tingxiang Liu (16 shared papers)Chaobin Yang (9 shared papers)Li Fei (4 shared papers)
- Journals
- Physical review. B. (5 papers)Remote Sensing (5 papers)Chinese Geographical Science (5 papers)Sustainability (3 papers)Physics Letters A (3 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Kun Bu
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Global and Planetary Change 887
- Environmental Engineering 427
- Health, Toxicology and Mutagenesis 281
- Ecology 400
- Soil Science 138
Countries citing papers authored by Kun Bu
This map shows the geographic impact of Kun Bu'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 Kun Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Bu more than expected).
Fields of papers citing papers by Kun Bu
This network shows the impact of papers produced by Kun Bu. 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 Kun Bu. The network helps show where Kun Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Bu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2015 | 113 | |
| 3 | 2017 | 100 | |
| 4 | 2017 | 93 | |
| 5 | 2017 | 86 | |
| 6 | 2017 | 80 | |
| 7 | 2014 | 73 | |
| 8 | 2010 | 55 | |
| 9 | 2016 | 50 | |
| 10 | 2016 | 43 | |
| 11 | 2017 | 41 | |
| 12 | 2015 | 36 | |
| 13 | 2014 | 34 | |
| 14 | 2015 | 31 | |
| 15 | 2012 | 29 | |
| 16 | 2017 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2022 | 26 | |
| 19 | 2022 | 24 | |
| 20 | 2020 | 24 |
About Kun Bu
Kun Bu is a scholar working on Global and Planetary Change, Materials Chemistry, Ecology, Atmospheric Science and Environmental Engineering, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (18 papers), Remote Sensing in Agriculture (14 papers), Remote Sensing and Land Use (13 papers), Graphene research and applications (11 papers), Environmental Changes in China (10 papers), Plant Water Relations and Carbon Dynamics (9 papers), Topological Materials and Phenomena (9 papers) and Urban Heat Island Mitigation (9 papers). The work is most often cited by research in Global and Planetary Change (887 citations), Environmental Engineering (427 citations), Health, Toxicology and Mutagenesis (281 citations), Ecology (400 citations) and Soil Science (138 citations). Kun Bu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jiuchun Yang, Shuwen Zhang, Liping Chang, Lingxue Yu, Fengqin Yan, Tingxiang Liu, Chaobin Yang, Li Fei, Xingyuan He and Jian-Tao Wang. Their work appears in journals such as Physical review. B., Remote Sensing, Chinese Geographical Science, Sustainability and Physics Letters A.
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.