Ran Dai

1.2k citations
79 papers · 903 · h-index 18

Impact in

    • Advanced Optimization Algorithms Research
    • Spacecraft Dynamics and Control
    • Guidance and Control Systems
    • Aerospace and Aviation Technology
    • Aerospace Engineering and Energy Systems

Papers in

Ran Dai

71 papers receiving 883 citations

Peers

Ran Dai
Comparison fields: 5 of 43
  • Numerical Analysis 100
  • Aerospace Engineering 367
  • Energy Engineering and Power Technology 23
  • Computer Vision and Pattern Recognition 154
  • Control and Systems Engineering 147
Replace Xiaojun Tang with:
Xiaojun Tang China
Elaine T. Hale United States
Rafael Wisniewski Denmark
Jianxun Li China
Teng Long China
Shengli Xu China
Jun Zhou China
Giuseppe Fedele Italy
Brandon W. Gordon Canada
Ran Dai relative to Xiaojun Tang China Xiaojun Tang's profile →
Citations per field
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Xiaojun Tang · 1×
Citations per year

Countries citing papers authored by Ran Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ran Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 201749
3 201647
4 201747
5 201341
6 201138
7 200934
8 201832
9 202032
10 200928
11 201025
12 201223
13 201522
14 202122
15 201221
16 201321
17 201518
18 202218
19 201916
20 201915

About Ran Dai

Ran Dai is a scholar working on Numerical Analysis, Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics, having authored 79 papers that have together received 903 indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (23 papers), Advanced Optimization Algorithms Research (17 papers), Robotic Path Planning Algorithms (15 papers), Distributed Control Multi-Agent Systems (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Aerospace and Aviation Technology (5 papers), Advanced Control Systems Optimization (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Numerical Analysis (100 citations), Aerospace Engineering (367 citations), Energy Engineering and Power Technology (23 citations), Computer Vision and Pattern Recognition (154 citations) and Control and Systems Engineering (147 citations). Ran Dai has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Chuangchuang Sun, Mehran Mesbahi, John E. Cochran, Jeremy R. Rea, Sixiong You, Saghar Hosseini, Gangshan Jing, Yen‐Chen Liu, Ping Lu and Unsik Lee. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Control of Network Systems, IEEE Transactions on Automatic Control and Journal of Aircraft.

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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