Shiquan Ren

592 citations
21 papers · 407 indexed · h-index 10
Topics
Flood Risk Assessment and Management (4 papers)Statistical Methods and Bayesian Inference (3 papers)Hydrology and Watershed Management Studies (3 papers)

In The Last Decade

Shiquan Ren

19 papers receiving 387 citations

Peers

Shiquan Ren
Comparison fields: 5 of 114
  • Nature and Landscape Conservation 115
  • Ecology 96
  • Global and Planetary Change 62
  • Cardiology and Cardiovascular Medicine 51
  • Ecology, Evolution, Behavior and Systematics 48
Replace Maximilian Pichler with:
Maximilian Pichler Austria
Christopher Young United States
Nicholas E. Bruns United States
June M. Juritz South Africa
Eric D. Edwards New Zealand
Michael Staley United States
Nicole Sutton United States
Sophie Ancelet France
Gregory Cooper United States
Dustin R. Martin United States
Shiquan Ren relative to Maximilian Pichler Austria Maximilian Pichler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shiquan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shiquan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiquan Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Shiquan Ren. A scholar is included among the top collaborators of Shiquan Ren 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 Shiquan Ren. Shiquan Ren 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 9
2 0
3 0
4 2
5 2
6 9
7 22
8 32
9 81
10 103
11 12
12 26
13 1
14 5
15 5
16 18
17 9
18 34
19 5
20 31

About Shiquan Ren

Shiquan Ren is a scholar working on Statistics and Probability, Emergency Medicine and Water Science and Technology, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Hydrology and Watershed Management Studies (3 papers). The work is most often cited by research in Nature and Landscape Conservation (115 citations), Ecological Modeling (21 citations) and Emergency Medicine (47 citations). Shiquan Ren has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Richard T. Kingsford, Wenjing Tong, Daniel Ramp, Shenghan Lai, Hong Lai, Shenghan Lai, Tony D. Auld, Fiona J. Thomson, Angela T. Moles and Rachael F. Thomas. Their work appears in journals such as Journal of Ecology, Journal of Hydrology and Ophthalmology.

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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