L. Guan
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 28
- High-Energy Particle Collisions Research 25
- Particle Detector Development and Performance 13
- Quantum Chromodynamics and Particle Interactions 8
- Dark Matter and Cosmic Phenomena 5
-
- Cosmology and Gravitation Theories 4
- Co-authors
- Xiaolong Li (1 shared paper)Mingxing Wang (1 shared paper)Guolong Cui (1 shared paper)
In The Last Decade
L. Guan
28 papers receiving 967 citations
Peers
Comparison fields: 5 of 32
- Nuclear and High Energy Physics 1.1k
- Astronomy and Astrophysics 260
- Artificial Intelligence 76
- Computer Networks and Communications 31
- Atomic and Molecular Physics, and Optics 19
Countries citing papers authored by L. Guan
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
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 3 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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | 2018 | 102 | |
| 3 | 2014 | 86 | |
| 4 | 2018 | 67 | |
| 5 | 2018 | 58 | |
| 6 | 2019 | 57 | |
| 7 | 2015 | 52 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 48 | |
| 10 | 2019 | 48 | |
| 11 | 2017 | 47 | |
| 12 | 2020 | 43 | |
| 13 | 2019 | 36 | |
| 14 | 2019 | 36 | |
| 15 | 2019 | 35 | |
| 16 | 2019 | 33 | |
| 17 | 2019 | 30 | |
| 18 | 2019 | 30 | |
| 19 | 2017 | 25 | |
| 20 | 2020 | 24 |
About L. Guan
L. Guan is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Biophysics, Artificial Intelligence and Insect Science, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (28 papers), High-Energy Particle Collisions Research (25 papers), Particle Detector Development and Performance (13 papers), Quantum Chromodynamics and Particle Interactions (8 papers), Dark Matter and Cosmic Phenomena (5 papers), Cosmology and Gravitation Theories (4 papers), Computational Physics and Python Applications (1 paper) and Spectroscopy Techniques in Biomedical and Chemical Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Astronomy and Astrophysics (260 citations), Artificial Intelligence (76 citations), Computer Networks and Communications (31 citations) and Atomic and Molecular Physics, and Optics (19 citations). L. Guan has collaborated with scholars based in France, Australia and Poland. Frequent co-authors include Xiaolong Li, Mingxing Wang and Guolong Cui. Their work appears in journals such as Journal of High Energy Physics, Physical review. D, The European Physical Journal C, Physics Letters B and Physical Review Letters.
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.