L. Guan

6.9k citations
20 papers · 80 · h-index 6

Impact in

Papers in

L. Guan

15 papers receiving 79 citations

Peers

L. Guan
Comparison fields: 5 of 25
  • Nuclear and High Energy Physics 33
  • Radiation 19
  • Control and Systems Engineering 15
  • Energy Engineering and Power Technology 2
  • Electrical and Electronic Engineering 35
Replace E. G. Dzenitis with:
E. G. Dzenitis United States
S. Latorre Italy
Jack Reynolds United States
E T Alger United States
C. Heßler Germany
J.J. Cordier France
K. Shibanuma Japan
Ruggero Forte Italy
L. Guan China
Ruixiong Han China
L. Guan relative to E. G. Dzenitis United States E. G. Dzenitis's profile →
Citations per field
00.5×
E. G. Dzenitis · 1×
Citations per year

Countries citing papers authored by L. Guan

Since Specialization
Citations

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

Fields of papers citing papers by L. Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201513
2 201711
3 201710
4 201810
5 20246
6 20146
7 20195
8 20134
9 20144
10 20143
11 20242
12 20202
13 20172
14 20171
15 20141
16 20240
17 20230
18 20190
19 20220
20 20140

About L. Guan

L. Guan is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation, Mechanical Engineering and Mechanics of Materials, having authored 20 papers that have together received 80 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (9 papers), Particle physics theoretical and experimental studies (6 papers), Radiation Detection and Scintillator Technologies (4 papers), Turbomachinery Performance and Optimization (3 papers), Multilevel Inverters and Converters (2 papers), Advanced machining processes and optimization (2 papers), Fluid Dynamics and Heat Transfer (2 papers) and Fluid Dynamics Simulations and Interactions (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (33 citations), Radiation (19 citations), Control and Systems Engineering (15 citations), Energy Engineering and Power Technology (2 citations) and Electrical and Electronic Engineering (35 citations). L. Guan has collaborated with scholars based in China, United States and Israel. Frequent co-authors include J. Chapman, Fan Xiao, J. Zhu, B. Zhou, Chunming Tu, Lan Zheng, Jinhong Wang, Mingming Lu, Ziru Sang and T. Dai. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, IEEE Transactions on Nuclear Science, Experimental Thermal and Fluid Science and AIP Advances.

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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