Ran Dai

1.8k citations
123 papers · 1.1k · h-index 20

Impact in

    • Spacecraft Dynamics and Control
    • Guidance and Control Systems
    • Aerospace Engineering and Control Systems
    • UAV Applications and Optimization
    • Space Satellite Systems and Control
    • Robotics and Sensor-Based Localization
    • Robotic Path Planning Algorithms

Papers in

Ran Dai

105 papers receiving 1.1k citations

Peers

Ran Dai
Comparison fields: 5 of 120
  • Aerospace Engineering 448
  • Computer Vision and Pattern Recognition 246
  • Energy Engineering and Power Technology 29
  • Numerical Analysis 51
  • Control and Systems Engineering 195
Replace Ming Zhu with:
Ming Zhu China
Abdelmajid Badri Morocco
Cornel Sultan United States
Deniz Korkmaz Türkiye
Ying Qu China
Yigang Wang China
Adnan Maqsood Pakistan
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Citations per field
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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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 201746
3 201646
4 201745
5 201343
6 202138
7 201135
8 200934
9 201933
10 201830
11 200928
12 202026
13 201024
14 202223
15 201222
16 201221
17 201521
18 202220
19 201320
20 201919

About Ran Dai

Ran Dai is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Computer Networks and Communications, having authored 123 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (24 papers), Robotic Path Planning Algorithms (18 papers), Guidance and Control Systems (17 papers), Sparse and Compressive Sensing Techniques (12 papers), Distributed Control Multi-Agent Systems (11 papers), Advanced Optimization Algorithms Research (9 papers), Robotics and Sensor-Based Localization (9 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Aerospace Engineering (448 citations), Computer Vision and Pattern Recognition (246 citations), Energy Engineering and Power Technology (29 citations), Numerical Analysis (51 citations) and Control and Systems Engineering (195 citations). Ran Dai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mehran Mesbahi, Chuangchuang Sun, John E. Cochran, Jeremy R. Rea, Sixiong You, Saghar Hosseini, Gangshan Jing, Adam Kaplan, Alfred Anzalone and Roslyn B. Mannon. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Transactions on Aerospace and Electronic Systems, Electronic Journal of Statistics, American Journal of Transplantation and IEEE Transactions on Control of Network Systems.

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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