Xisheng Lin

459 citations
18 papers · 329 · h-index 11

Impact in

Papers in

Xisheng Lin

17 papers receiving 317 citations

Peers

Xisheng Lin
Comparison fields: 5 of 56
  • Environmental Engineering 166
  • Computational Mechanics 149
  • Statistical and Nonlinear Physics 60
  • Aerospace Engineering 82
  • Health, Toxicology and Mutagenesis 31
Replace Yunfei Fu with:
Yunfei Fu Hong Kong
Alexandre Luis Braun Brazil
Francisco Toja-Silva Spain
Jérôme Jacob France
Hans Wengle Germany
Knut Erik Teigen Giljarhus Norway
Simon Gant United Kingdom
Pedro L. Fernández-Cabán United States
D. Olivari Belgium
Daniel Schmeling Germany
Xisheng Lin relative to Yunfei Fu Hong Kong Yunfei Fu's profile →
Citations per field
00.5×1.5×
Yunfei Fu · 1×
Citations per year

Countries citing papers authored by Xisheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xisheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202241
2 202338
3 202338
4 202230
5 202330
6 202327
7 202125
8 202221
9 202318
10 202317
11 202311
12 202410
13 202310
14 20248
15 20242
16 20252
17 20231
18 20250

About Xisheng Lin

Xisheng Lin is a scholar working on Computational Mechanics, Environmental Engineering, Statistical and Nonlinear Physics, Health, Toxicology and Mutagenesis and Building and Construction, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (8 papers), Wind and Air Flow Studies (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Model Reduction and Neural Networks (6 papers), Air Quality and Health Impacts (3 papers), Building Energy and Comfort Optimization (3 papers), Fire dynamics and safety research (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Environmental Engineering (166 citations), Computational Mechanics (149 citations), Statistical and Nonlinear Physics (60 citations), Aerospace Engineering (82 citations) and Health, Toxicology and Mutagenesis (31 citations). Xisheng Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Cruz Y. Li, Yunfei Fu, K.T. Tse, Zengshun Chen, Xuelin Zhang, A.U. Weerasuriya, Chun‐Ho Liu, Lu Li, Jia Li and Houchen Lyu. Their work appears in journals such as Physics of Fluids, Building and Environment, Clinical Interventions in Aging, Sustainable Cities and Society and Trials.

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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