L. Yi

11.2k citations
24 papers · 184 · h-index 8

Impact in

Papers in

L. Yi

18 papers receiving 176 citations

Peers

L. Yi
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 128
  • Statistical and Nonlinear Physics 58
  • Modeling and Simulation 11
  • Industrial and Manufacturing Engineering 11
  • Astronomy and Astrophysics 19
Replace M. V. Tokarev with:
M. V. Tokarev Russia
Sadhana Dash India
S. L. Lutpullaev Uzbekistan
M. Waqas China
K. H. Moon United States
Mai-Ying Duan China
Ivan Hip Austria
Aaron Bergman United States
M. Needham United Kingdom
Lipei Du United States
L. Yi relative to M. V. Tokarev Russia M. V. Tokarev's profile →
Citations per field
00.5×8.5×
M. V. Tokarev · 1×
Citations per year

Countries citing papers authored by L. Yi

Since Specialization
Citations

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

Fields of papers citing papers by L. Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 202119
3 202217
4
Statistical Origin of Constituent-Quark Scaling in the QGP hadronization
201616
5 20239
6 20199
7 20128
8 20128
9 20166
10 20225
11 20144
12
Repairing Effect and Mechanism of Hydroxysafflor Yellow A and Sodium Hyaluronate for Knee Osteoarthritis in Rabbits.
20232
13 20242
14 20132
15 20221
16
Analysis of nutritional components in 5 kinds of common edible mushrooms from Hunan province.
20191
17 19951
18 20191
19 20250
20 20250

About L. Yi

L. Yi is a scholar working on Nuclear and High Energy Physics, Pharmacology, Pollution, Industrial and Manufacturing Engineering and Information Systems, having authored 24 papers that have together received 184 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (16 papers), Quantum Chromodynamics and Particle Interactions (15 papers), Particle physics theoretical and experimental studies (14 papers), Recycling and Waste Management Techniques (1 paper), Urban Green Space and Health (1 paper), Imbalanced Data Classification Techniques (1 paper), Microplastics and Plastic Pollution (1 paper) and Moringa oleifera research and applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (128 citations), Statistical and Nonlinear Physics (58 citations), Modeling and Simulation (11 citations), Industrial and Manufacturing Engineering (11 citations) and Astronomy and Astrophysics (19 citations). L. Yi has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Z. Tang, N. Xu, Cheng Li, M. Shao, Hongfang Chen, Fuqiang Wang, Jia Chen, J. Jia, D. P. Kikoła and W. Xie. Their work appears in journals such as Nuclear Physics A, Physical review. C, Physics Letters B, Journal of Physics G Nuclear and Particle Physics and The Science of The Total Environment.

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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