Kun Bu

1.6k citations
42 papers · 1.4k · h-index 21

Impact in

Papers in

    • Land Use and Ecosystem Services 15
    • Environmental Changes in China 11
    • Climate variability and models 8
    • Remote Sensing in Agriculture 10

Kun Bu

42 papers receiving 1.3k citations

Peers

Kun Bu
Comparison fields: 5 of 60
  • Global and Planetary Change 633
  • Environmental Engineering 326
  • Ecology 243
  • Soil Science 131
  • Atmospheric Science 97
Replace Jiuchun Yang with:
Jiuchun Yang China
Lingxue Yu China
Dipanwita Dutta India
Arnab Kundu India
Lara Prihodko United States
Jun Shi China
Dessalegn Obsi Gemeda Ethiopia
Abdelrazek Elnashar Egypt
Narcisa G. Pricope United States
John O. Niles United States
Kun Bu relative to Jiuchun Yang China Jiuchun Yang's profile →
Citations per field
00.5×1.5×
Jiuchun Yang · 1×
Citations per year

Countries citing papers authored by Kun Bu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kun Bu Line = papers co-authored together Kun Bu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 2015113
3 2017107
4 2017101
5 201788
6 201780
7 201475
8 201057
9 201652
10 201644
11 201743
12 201536
13 201434
14 201533
15 201230
16 202230
17 201828
18 202226
19 202222
20 201421

About Kun Bu

Kun Bu is a scholar working on Global and Planetary Change, Ecology, Atmospheric Science, Environmental Engineering and Soil Science, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (15 papers), Environmental Changes in China (11 papers), Remote Sensing in Agriculture (10 papers), Climate variability and models (8 papers), Urban Heat Island Mitigation (5 papers), Soil erosion and sediment transport (3 papers), Remote Sensing and Land Use (3 papers) and Cryospheric studies and observations (2 papers). The work is most often cited by research in Global and Planetary Change (633 citations), Environmental Engineering (326 citations), Ecology (243 citations), Soil Science (131 citations) and Atmospheric Science (97 citations). Kun Bu has collaborated with scholars based in China and United States. Frequent co-authors include Jiuchun Yang, Shuwen Zhang, Liping Chang, Lingxue Yu, Fengqin Yan, Chaobin Yang, Tingxiang Liu, Xingyuan He, Li Fei and Ranghu Wang. Their work appears in journals such as Remote Sensing, Chinese Geographical Science, Journal of Geographical Sciences, Sustainability and Ecological Indicators.

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.

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