Hao Dai

1.4k citations
77 papers · 1.0k · h-index 17

Impact in

Papers in

Hao Dai

66 papers receiving 969 citations

Peers

Hao Dai
Comparison fields: 5 of 108
  • Computer Networks and Communications 386
  • Control and Systems Engineering 225
  • Modeling and Simulation 40
  • Renewable Energy, Sustainability and the Environment 139
  • Statistical and Nonlinear Physics 95
Replace Hui Huang with:
Hui Huang China
Zhimin Li China
Ali Jalali Iran
Weifeng Xia China
Sofiane Khadraoui United Arab Emirates
Jingqi Yuan China
Karlene A. Hoo United States
Khurram Saleem Alimgeer Pakistan
Hao Dai relative to Hui Huang China Hui Huang's profile →
Citations per field
00.5×6.5×
Hui Huang · 1×
Citations per year

Countries citing papers authored by Hao Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 202088
3 201779
4 199474
5 202362
6 198641
7 202041
8 201735
9 202327
10 201826
11 201624
12 201323
13 201120
14 198618
15 201817
16 201217
17 202216
18 201816
19 201815
20 201715

About Hao Dai

Hao Dai is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (32 papers), Distributed Control Multi-Agent Systems (23 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Machine Learning and ELM (10 papers), Adaptive Control of Nonlinear Systems (8 papers), Stability and Control of Uncertain Systems (8 papers), Chaos control and synchronization (5 papers) and Adaptive Dynamic Programming Control (4 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Control and Systems Engineering (225 citations), Modeling and Simulation (40 citations), Renewable Energy, Sustainability and the Environment (139 citations) and Statistical and Nonlinear Physics (95 citations). Hao Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weisheng Chen, Xinpeng Fang, Jin Xie, Zhengqiang Zhang, Jiayun Liu, Ellen A. Eisen, David C. Christiani, David H. Wegman, Sanyang Liu and Swellam W. Sharshir. Their work appears in journals such as Nonlinear Dynamics, Neurocomputing, Journal of the Franklin Institute, IET Control Theory and Applications and Neural Networks.

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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