Chengyi Tu

1.5k citations
54 papers · 1.1k · h-index 16

Impact in

Papers in

Chengyi Tu

48 papers receiving 1.0k citations

Peers

Chengyi Tu
Comparison fields: 5 of 117
  • Astronomy and Astrophysics 331
  • Statistical and Nonlinear Physics 138
  • Water Science and Technology 103
  • Global and Planetary Change 141
  • Environmental Engineering 90
Replace Wen Zhang with:
Wen Zhang China
J. Kettleborough United Kingdom
David N. Barnett United Kingdom
Alessandra Gragnani Italy
Karina Williams United Kingdom
Michael Parke United States
Randall S. Cerveny United States
Wenmin Hu China
Stephen Tennenbaum United States
Sylvia Knight United Kingdom
Chengyi Tu relative to Wen Zhang China Wen Zhang's profile →
Citations per field
00.5×4.8×
Wen Zhang · 1×
Citations per year

Countries citing papers authored by Chengyi Tu

Since Specialization
Citations

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

Fields of papers citing papers by Chengyi Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993168
2 1997157
3 2019154
4 201996
5 199651
6 201851
7 201444
8 201441
9
Norm of the Chinese Version of the Swanson, Nolan and Pelham, Version IV Scale for ADHD
200632
10 201732
11 202025
12 202123
13 202022
14 202222
15 201919
16 202015
17 201912
18 202212
19 20237
20 20047

About Chengyi Tu

Chengyi Tu is a scholar working on Global and Planetary Change, Statistical and Nonlinear Physics, Nature and Landscape Conservation, Molecular Biology and Sociology and Political Science, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Ecosystem dynamics and resilience (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Gene Regulatory Network Analysis (6 papers), Complex Systems and Time Series Analysis (5 papers), Opinion Dynamics and Social Influence (5 papers) and Fish Ecology and Management Studies (4 papers). The work is most often cited by research in Astronomy and Astrophysics (331 citations), Statistical and Nonlinear Physics (138 citations), Water Science and Technology (103 citations), Global and Planetary Change (141 citations) and Environmental Engineering (90 citations). Chengyi Tu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include E. Marsch, Paolo D’Odorico, E. Marsch, Samir Suweis, Maria Cristina Rulli, Lorenzo Rosa, Davide Danilo Chiarelli, H. Rosenbauer, Jacopo Grilli and Sheng‐Nan Chang. Their work appears in journals such as Chaos Solitons & Fractals, Sustainability, Nature Sustainability, Frontiers in Plant Science and iScience.

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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