Guangyuan Kan

1.7k citations
54 papers · 1.3k indexed · 1 hit paper · h-index 22
Topics
Hydrology and Watershed Management Studies (28 papers)Hydrological Forecasting Using AI (21 papers)Flood Risk Assessment and Management (18 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyJournal of Hydrology

In The Last Decade

Guangyuan Kan

52 papers receiving 1.3k citations

Hit Papers

Re-evaluation of the Power of the Mann-Kendall Test for D...2020202620222024202050100150200250

Peers

Guangyuan Kan
Comparison fields: 5 of 89
  • Global and Planetary Change 858
  • Water Science and Technology 554
  • Environmental Engineering 406
  • Atmospheric Science 312
  • Ecology 152
Replace Ping Feng with:
Ping Feng China
S. Adarsh India
Jiancang Xie China
Peyman Abbaszadeh United States
Philippe Gourbesville France
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Darshan Mehta India
Sutat Weesakul Thailand
Guangyuan Kan relative to Ping Feng China Ping Feng's profile →
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Countries citing papers authored by Guangyuan Kan

Since Specialization
Citations

This map shows the geographic impact of Guangyuan Kan'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 Guangyuan Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyuan Kan more than expected).

Fields of papers citing papers by Guangyuan Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guangyuan Kan. 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 Guangyuan Kan. The network helps show where Guangyuan Kan may publish in the future.

Co-authorship network of co-authors of Guangyuan Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyuan Kan. A scholar is included among the top collaborators of Guangyuan Kan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangyuan Kan. Guangyuan Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 2
4 3
5 2
6 4
7 9
8 76
9 34
10 3
11 1
12
Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Seriesbreakdown →
274
13 65
14 3
15 23
16
Air quality analysis and forecast for environment and public health protection: a case study in Beijing, China
1
17 5
18 21
19 11
20 56

About Guangyuan Kan

Guangyuan Kan is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (28 papers), Hydrological Forecasting Using AI (21 papers) and Flood Risk Assessment and Management (18 papers). The work is most often cited by research in Global and Planetary Change (858 citations), Water Science and Technology (554 citations) and Environmental Engineering (406 citations). Guangyuan Kan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaoyan He, Liuqian Ding, Jiren Li, Minglei Ren, F. Wang, Haijun Yu, Ke Liang, Wei Shao, Gang Wang and Depeng Zuo. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Journal of Hydrology.

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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