G.H. Su

16.8k citations
736 papers · 12.9k · 1 hit paper · h-index 46

Impact in

Papers in

G.H. Su

712 papers receiving 12.6k citations

G.H. Su's Hit Papers

The ALICE experiment at the CERN LHC 2008 · 949 citations
9490+6+12Years since publication250500750

Peers

G.H. Su
Comparison fields: 5 of 122
  • Aerospace Engineering 7.1k
  • Computational Mechanics 4.0k
  • Mechanical Engineering 4.4k
  • Materials Chemistry 4.3k
  • Nuclear and High Energy Physics 1.0k
Replace Wenxi Tian with:
Wenxi Tian China
Suizheng Qiu China
Nikolaus A. Adams Germany
Dalin Zhang China
Antonio Cammi Italy
David John Benson United States
Mohamed S. El‐Genk United States
Michael L. Corradini United States
Richard T. Lahey United States
Hui Long United Kingdom
G.H. Su relative to Wenxi Tian China Wenxi Tian's profile →
Citations per field
00.5×2×4×6.8×
Wenxi Tian · 1×
Citations per year

Countries citing papers authored by G.H. Su

Since Specialization
Citations

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

Fields of papers citing papers by G.H. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.H. Su. 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 G.H. Su. The network helps show where G.H. Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 736 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ALICE experiment at the CERN LHC
Hit paper breakdown →
2008949
2 2020212
3 2009177
4 2012119
5 2015113
6 2019111
7 2011105
8 202099
9 201898
10 200989
11 201387
12 201985
13 201575
14 201072
15 200870
16 201165
17 202164
18 201764
19 202262
20 201261

About G.H. Su

G.H. Su is a scholar working on Aerospace Engineering, Computational Mechanics, Materials Chemistry, Mechanical Engineering and Biomedical Engineering, having authored 736 papers that have together received 12.9k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (379 papers), Nuclear Engineering Thermal-Hydraulics (343 papers), Nuclear Materials and Properties (291 papers), Heat Transfer and Boiling Studies (179 papers), Heat transfer and supercritical fluids (115 papers), Heat Transfer and Optimization (68 papers), Fusion materials and technologies (59 papers) and Fluid Dynamics and Heat Transfer (48 papers). The work is most often cited by research in Aerospace Engineering (7.1k citations), Computational Mechanics (4.0k citations), Mechanical Engineering (4.4k citations), Materials Chemistry (4.3k citations) and Nuclear and High Energy Physics (1.0k citations). G.H. Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Suizheng Qiu, Wenxi Tian, Dalin Zhang, Chenglong Wang, Mingjun Wang, Yingwei Wu, Ronghua Chen, Yapei Zhang, Tenglong Cong and Kailun Guo. Their work appears in journals such as Annals of Nuclear Energy, Progress in Nuclear Energy, Nuclear Engineering and Design, Applied Thermal Engineering and Nuclear Engineering and Technology.

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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