S.Y. Long

467 citations
19 papers · 369 · 1 hit paper · h-index 12

Impact in

Papers in

S.Y. Long

18 papers receiving 349 citations

S.Y. Long's Hit Papers

A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models 2025 · 33 citations
330Years since publication102030

Peers

S.Y. Long
Comparison fields: 5 of 49
  • Mechanics of Materials 217
  • Ceramics and Composites 25
  • Civil and Structural Engineering 93
  • Computational Mechanics 67
  • Modeling and Simulation 13
Replace Xinyun Guo with:
Xinyun Guo United States
A. Maewal United States
Lijun Zhuo China
Yuming Wang China
Yong Song China
Étienne Prulière France
Anindya Bhaduri United States
Wen-Lih Chen Taiwan
Ola Ragb Egypt
Mehrdaad Ghorashi Iran
S.Y. Long relative to Xinyun Guo United States Xinyun Guo's profile →
Citations per field
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Xinyun Guo · 1×
Citations per year

Countries citing papers authored by S.Y. Long

Since Specialization
Citations

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

Fields of papers citing papers by S.Y. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.Y. Long. 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 S.Y. Long. The network helps show where S.Y. Long may publish in the future.

Co-authors

The 19 scholars most cited alongside S.Y. Long, 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 S.Y. Long Line = papers co-authored together S.Y. Long links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199940
2 200636
3 200634
4
A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
Hit paper breakdown →
202533
5 200930
6 200530
7 202428
8 199725
9 200625
10 201320
11 200717
12 201116
13 200811
14 20109
15 20245
16 20075
17 20104
18 20071
19 20250

About S.Y. Long

S.Y. Long is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Materials Chemistry, Control and Systems Engineering and Computational Mechanics, having authored 19 papers that have together received 369 indexed citations. Recurring topics across this work include Numerical methods in engineering (8 papers), Geotechnical Engineering and Underground Structures (7 papers), Fatigue and fracture mechanics (4 papers), Nonlocal and gradient elasticity in micro/nano structures (2 papers), Dam Engineering and Safety (2 papers), Carbon Nanotubes in Composites (2 papers), Composite Structure Analysis and Optimization (2 papers) and Iterative Methods for Nonlinear Equations (1 paper). The work is most often cited by research in Mechanics of Materials (217 citations), Ceramics and Composites (25 citations), Civil and Structural Engineering (93 citations), Computational Mechanics (67 citations) and Modeling and Simulation (13 citations). S.Y. Long has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Xu Han, Dean Hu, G.Y. Li, Peng Xia, C. Bonjour, Ming Zhao, Nei Kato, Cyril Cayron, O. Beffort and Fengxiao Tang. Their work appears in journals such as Engineering Analysis with Boundary Elements, IEEE Network, Smart Materials and Structures, International Journal of Computational Methods and International Journal of Solids and Structures.

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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