Meiji Cui

469 citations
18 papers · 266 · h-index 6

Impact in

Papers in

Meiji Cui

15 papers receiving 265 citations

Peers

Meiji Cui
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 90
  • Industrial and Manufacturing Engineering 49
  • Artificial Intelligence 115
  • Management Science and Operations Research 22
  • Computer Vision and Pattern Recognition 31
Replace Giorgos Karafotias with:
Giorgos Karafotias Netherlands
Arvind Mohais Australia
Jean‐Baptiste Gotteland France
Jacek M. Czerniak Poland
Steffen Udluft Germany
Eva Volná Czechia
Siddhartha Bhattacharyya United States
Jilles Dibangoye France
Meiji Cui relative to Giorgos Karafotias Netherlands Giorgos Karafotias's profile →
Citations per field
00.5×
Giorgos Karafotias · 1×
Citations per year

Countries citing papers authored by Meiji Cui

Since Specialization
Citations

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

Fields of papers citing papers by Meiji Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Meiji Cui, 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 Meiji Cui Line = papers co-authored together Meiji Cui links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202198
2 201952
3 202447
4 202243
5 20207
6 20185
7 20254
8 20232
9 20182
10 20251
11 20241
12 20241
13 20251
14 20251
15 20211
16 20240
17 20250
18 20240

About Meiji Cui

Meiji Cui is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Industrial and Manufacturing Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 18 papers that have together received 266 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (5 papers), Scheduling and Optimization Algorithms (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Assembly Line Balancing Optimization (2 papers), Petri Nets in System Modeling (1 paper) and Energy Efficiency and Management (1 paper). The work is most often cited by research in Computational Theory and Mathematics (90 citations), Industrial and Manufacturing Engineering (49 citations), Artificial Intelligence (115 citations), Management Science and Operations Research (22 citations) and Computer Vision and Pattern Recognition (31 citations). Meiji Cui has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Li Li, MengChu Zhou, Abdullah Abusorrah, Miaojing Shi, Shuwei Zhu, Ziyan Zhao, Jiankai Li, Khaled Sedraoui, Wei Fang and Wenping Wang. Their work appears in journals such as IEEE/CAA Journal of Automatica Sinica, Chinese Journal of Aeronautics, Engineering Applications of Artificial Intelligence, Complex & Intelligent Systems and Symmetry.

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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