Shuoben Bi

879 citations
64 papers · 561 indexed · h-index 15
Topics
Climate variability and models (25 papers)Meteorological Phenomena and Simulations (12 papers)Precipitation Measurement and Analysis (12 papers)

In The Last Decade

Shuoben Bi

59 papers receiving 539 citations

Peers

Shuoben Bi
Comparison fields: 5 of 104
  • Global and Planetary Change 297
  • Atmospheric Science 159
  • Environmental Engineering 88
  • Water Science and Technology 69
  • Ecology, Evolution, Behavior and Systematics 58
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Tsengdar Lee United States
Hou Jiang China
Martin Paegelow France
Binbin Xie China
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Shuoben Bi relative to Tsengdar Lee United States Tsengdar Lee's profile →
Citations per field
00.5×1.7×
Tsengdar Lee · 1×
Citations per year

Countries citing papers authored by Shuoben Bi

Since Specialization
Citations

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

Fields of papers citing papers by Shuoben Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuoben Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuoben Bi. A scholar is included among the top collaborators of Shuoben Bi 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 Shuoben Bi. Shuoben Bi 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 1
2 0
3 2
4 31
5 1
6 4
7 34
8 6
9 14
10 5
11 1
12 19
13 4
14 28
15 7
16 6
17 2
18
Aspect and slope analysis of prehistoric settlement sites in Zhengzhou-Luoyang region
2
19
Application of case-based reasoning on Q&A system based on networks
0
20
Application of decision tree classification algorithm in the archeology research of Jiangzhai first phase settlement
0

About Shuoben Bi

Shuoben Bi is a scholar working on Global and Planetary Change, Atmospheric Science and Transportation, having authored 64 papers that have together received 561 indexed citations. Recurring topics across this work include Climate variability and models (25 papers), Meteorological Phenomena and Simulations (12 papers) and Precipitation Measurement and Analysis (12 papers). The work is most often cited by research in Global and Planetary Change (297 citations), Atmospheric Science (159 citations) and Environmental Engineering (88 citations). Shuoben Bi has collaborated with scholars based in China, United States and Burundi. Frequent co-authors include Isaac Sarfo, Karam Alsafadi, Safwan Mohammed, Brian Ayugi, Li Zhang, Tingting Jiang, Floribert Vuguziga, Amit Kumar Srivastava, Solomon Obiri Yeboah Amankwah and Saad Sh. Sammen. Their work appears in journals such as Scientific Reports, Sustainability and Remote Sensing.

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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