Li Dai

3.9k citations
176 papers · 2.9k · h-index 28

Impact in

Papers in

Li Dai

157 papers receiving 2.9k citations

Peers

Li Dai
Comparison fields: 5 of 62
  • Control and Systems Engineering 1.3k
  • Computer Networks and Communications 235
  • Automotive Engineering 69
  • Aerospace Engineering 116
  • Building and Construction 61
Replace Chun-Hua Yang with:
Chun-Hua Yang China
Martin Horn Austria
Kenneth R. Muske United States
Bo Yuan Wang China
Yin Chen China
Yu‐Long Wang China
Ratnesh Kumar Sharma United States
Liangliang Chen China
Kuang‐Yow Lian Taiwan
H. Georg Bock Germany
Li Dai relative to Chun-Hua Yang China Chun-Hua Yang's profile →
Citations per field
00.5×5×10.7×
Chun-Hua Yang · 1×
Citations per year

Countries citing papers authored by Li Dai

Since Specialization
Citations

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

Fields of papers citing papers by Li Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017178
2 2018137
3 2017126
4 2017122
5 2011117
6 2019116
7 2013110
8 202095
9 201369
10 201962
11 202162
12 201955
13 201754
14 201652
15 202049
16 202148
17 202247
18 201846
19 202246
20 201645

About Li Dai

Li Dai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 176 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (62 papers), Traffic control and management (14 papers), Advanced biosensing and bioanalysis techniques (4 papers), Dynamics and Control of Mechanical Systems (4 papers), Data Mining Algorithms and Applications (4 papers), Robotic Path Planning Algorithms (3 papers), Asymmetric Synthesis and Catalysis (3 papers) and Stability and Control of Uncertain Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Computer Networks and Communications (235 citations), Automotive Engineering (69 citations), Aerospace Engineering (116 citations) and Building and Construction (61 citations). Li Dai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuanqing Xia, Zhongqi Sun, Yulong Gao, Kun Liu, Qun Cao, Mark Cannon, Karl Henrik Johansson, Dailiang Ma, Yuchen Lu and Mengyin Fu. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control, Automatica, IET Control Theory and Applications and IEEE Transactions on Automation Science and 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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