Guangsi Lin

596 citations
21 papers · 394 · h-index 11

Impact in

Papers in

Guangsi Lin

19 papers receiving 387 citations

Peers

Guangsi Lin
Comparison fields: 5 of 66
  • Health, Toxicology and Mutagenesis 173
  • Global and Planetary Change 197
  • Transportation 53
  • Environmental Engineering 107
  • Speech and Hearing 45
Replace Yuning Cheng with:
Yuning Cheng China
Ruizhen He China
Zhanqiang Zhu China
Catharina Sternudd Sweden
Rana N. Jawarneh Qatar
Wonmin Sohn United States
Priya Narayanan India
Qianyuan Huang China
Peihao Song China
Guangsi Lin relative to Yuning Cheng China Yuning Cheng's profile →
Citations per field
00.5×10×
Yuning Cheng · 1×
Citations per year

Countries citing papers authored by Guangsi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guangsi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Guangsi Lin, 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 Guangsi Lin Line = papers co-authored together Guangsi Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 202253
3 202347
4 202147
5 202331
6 202329
7 202223
8 202422
9 202315
10 202413
11 201910
12 202110
13 20246
14 20256
15 20216
16 20233
17 20242
18 20192
19 20251
20 20250

About Guangsi Lin

Guangsi Lin is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Environmental Engineering, Sociology and Political Science and Plant Science, having authored 21 papers that have together received 394 indexed citations. Recurring topics across this work include Urban Green Space and Health (13 papers), Land Use and Ecosystem Services (10 papers), Urban Agriculture and Sustainability (4 papers), Urban Heat Island Mitigation (4 papers), Urban Transport and Accessibility (3 papers), Noise Effects and Management (3 papers), Flood Risk Assessment and Management (3 papers) and Place Attachment and Urban Studies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (173 citations), Global and Planetary Change (197 citations), Transportation (53 citations), Environmental Engineering (107 citations) and Speech and Hearing (45 citations). Guangsi Lin has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Wenwen Huang, Chengguang Lai, Zhaoli Wang, Yuxing Lu, Shanshan Li, Guoru Huang, Shanshan Li, Xiaoqing Wu, W. C. Sullivan and Huaqing Wang. Their work appears in journals such as Urban forestry & urban greening, Journal of Hydrology, Sustainable Cities and Society, Ecological Indicators and Social Science & Medicine.

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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