Luona Wei

496 citations
13 papers · 308 · 1 hit paper · h-index 9

Impact in

Papers in

Luona Wei

11 papers receiving 305 citations

Luona Wei's Hit Papers

RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem 2023 · 98 citations
980+1+2Years since publication255075

Peers

Luona Wei
Comparison fields: 5 of 42
  • Aerospace Engineering 150
  • Industrial and Manufacturing Engineering 51
  • Computer Networks and Communications 111
  • Artificial Intelligence 104
  • Management Science and Operations Research 14
Replace Yannick Vimont with:
Yannick Vimont France
Eric Bensana France
Simone Fratini Italy
Nicolas Barnier France
Olga Rodionova United States
Héctor Palacios Spain
Kevin Leahy United States
Andreas Eisenblätter Germany
Anand Oka Canada
Luona Wei relative to Yannick Vimont France Yannick Vimont's profile →
Citations per field
00.5×10×15×
Yannick Vimont · 1×
Citations per year

Countries citing papers authored by Luona Wei

Since Specialization
Citations

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

Fields of papers citing papers by Luona Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Luona Wei, 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 Luona Wei Line = papers co-authored together Luona Wei links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
Hit paper breakdown →
202398
2 202166
3 202131
4 202124
5 202422
6 202218
7 202016
8 202015
9 202310
10 20257
11 20211
12 20250
13 20240

About Luona Wei

Luona Wei is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 13 papers that have together received 308 indexed citations. Recurring topics across this work include Optimization and Search Problems (6 papers), Satellite Communication Systems (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Vehicle Routing Optimization Methods (3 papers), Data Quality and Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Aerospace Engineering (150 citations), Industrial and Manufacturing Engineering (51 citations), Computer Networks and Communications (111 citations), Artificial Intelligence (104 citations) and Management Science and Operations Research (14 citations). Luona Wei has collaborated with scholars based in China. Frequent co-authors include Yingwu Chen, Lining Xing, Yanjie Song, Qian Wan, Jian Wu, Yuning Chen, Jie Liu, Qian Wan, Xinhai Chen and Shan Zhao. Their work appears in journals such as Knowledge-Based Systems, Swarm and Evolutionary Computation, Applied Soft Computing, Computers & Industrial Engineering and Mathematical Biosciences & Engineering.

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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