Shiquan Wan

406 citations
29 papers · 323 · h-index 10

Impact in

    • Climate variability and models
    • Ecosystem dynamics and resilience
    • Hydrology and Drought Analysis
    • Plant Water Relations and Carbon Dynamics
    • Meteorological Phenomena and Simulations

Papers in

Shiquan Wan

28 papers receiving 282 citations

Peers

Shiquan Wan
Comparison fields: 5 of 64
  • Global and Planetary Change 214
  • Atmospheric Science 106
  • Economics and Econometrics 98
  • Environmental Engineering 36
  • Statistical and Nonlinear Physics 30
Replace Wenping He with:
Wenping He China
Alessandro Attanasio Italy
António Tomé Portugal
Rong Zhi China
V. N. Khokhlov Ukraine
MN Assimakopoulos Greece
B. Febres de Power Venezuela
Irina Melnikova Russia
Ravi Kumar Guntu India
Shiquan Wan relative to Wenping He China Wenping He's profile →
Citations per field
00.5×1.5×
Wenping He · 1×
Citations per year

Countries citing papers authored by Shiquan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shiquan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shiquan Wan, 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 Shiquan Wan Line = papers co-authored together Shiquan Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201153
2 200852
3 201234
4 201830
5 202120
6 201618
7 202115
8 201211
9 202311
10 201610
11 20228
12 20127
13 20246
14 20216
15 20105
16 20155
17 20244
18 20214
19 20234
20 20234

About Shiquan Wan

Shiquan Wan is a scholar working on Global and Planetary Change, Economics and Econometrics, Atmospheric Science, Statistical and Nonlinear Physics and Environmental Engineering, having authored 29 papers that have together received 323 indexed citations. Recurring topics across this work include Climate variability and models (17 papers), Complex Systems and Time Series Analysis (14 papers), Meteorological Phenomena and Simulations (7 papers), Chaos control and synchronization (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Ecosystem dynamics and resilience (4 papers), Theoretical and Computational Physics (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Global and Planetary Change (214 citations), Atmospheric Science (106 citations), Economics and Econometrics (98 citations), Environmental Engineering (36 citations) and Statistical and Nonlinear Physics (30 citations). Shiquan Wan has collaborated with scholars based in China and United States. Frequent co-authors include Wenping He, Qiong Wu, Guolin Feng, Yundi Jiang, Tao He, Chou Jifan, Qunqun Liu, Ying Mei, Bin Gu and Hongmei Jin. Their work appears in journals such as International Journal of Climatology, Frontiers in Environmental Science, The Science of The Total Environment, Climate Dynamics and PLoS ONE.

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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