LI Wei-ji

420 citations
36 papers · 318 · h-index 11

Impact in

Papers in

LI Wei-ji

33 papers receiving 306 citations

Peers

LI Wei-ji
Comparison fields: 5 of 87
  • Statistics, Probability and Uncertainty 82
  • Computational Theory and Mathematics 107
  • Industrial and Manufacturing Engineering 34
  • Automotive Engineering 39
  • Management Science and Operations Research 37
Replace Sudeepta Mondal with:
Sudeepta Mondal United States
P. W. Aitchison Canada
M. Li United States
Kurt Hacker United States
Dipankar Ghosh United States
Étienne Loute Belgium
Guangyao Li China
Nhu Van Nguyen South Korea
Lawrence Green United States
Wencai Luo China
LI Wei-ji relative to Sudeepta Mondal United States Sudeepta Mondal's profile →
Citations per field
00.5×4.7×
Sudeepta Mondal · 1×
Citations per year

Countries citing papers authored by LI Wei-ji

Since Specialization
Citations

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

Fields of papers citing papers by LI Wei-ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 200830
3 199426
4 200724
5 200824
6 200823
7 200719
8 201417
9 200813
10 201312
11 200810
12 20078
13 20117
14 20067
15 20126
16 19985
17 20084
18
Using cooperated optimization method to realize the designing optimization of complex mechanical system
20063
19 20243
20 20083

About LI Wei-ji

LI Wei-ji is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Civil and Structural Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 36 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (13 papers), Probabilistic and Robust Engineering Design (7 papers), Topology Optimization in Engineering (4 papers), Advanced Aircraft Design and Technologies (3 papers), Manufacturing Process and Optimization (3 papers), Industrial Technology and Control Systems (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Sensor and Control Systems (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (82 citations), Computational Theory and Mathematics (107 citations), Industrial and Manufacturing Engineering (34 citations), Automotive Engineering (39 citations) and Management Science and Operations Research (37 citations). LI Wei-ji has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ke‐Shi Zhang, Wenping Song, Zhonghua Han, Yang Li, Jing Tang Xing, Haitao Wang, W.G. Price, Xiao‐Ping Zhong, Changan Liu and Kai Long. Their work appears in journals such as Chinese Journal of Aeronautics, AIAA Journal, IEEE Wireless Communications Letters, Microchemical Journal and Clinical and Vaccine Immunology.

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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