Hao Dai

1.3k citations
77 papers · 988 · h-index 17

Impact in

Papers in

Hao Dai

69 papers receiving 944 citations

Peers

Hao Dai
Comparison fields: 5 of 111
  • Computer Networks and Communications 386
  • Control and Systems Engineering 220
  • Statistical and Nonlinear Physics 114
  • Modeling and Simulation 41
  • Renewable Energy, Sustainability and the Environment 131
Replace Mohammed Sh. Alhodaly with:
Mohammed Sh. Alhodaly Saudi Arabia
Xia Wang China
Hui Huang China
Bo Wei China
Zhimin Li China
Stevan Dubljević Canada
Ali Jalali Iran
Lili Liu China
Hao Dai relative to Mohammed Sh. Alhodaly Saudi Arabia Mohammed Sh. Alhodaly's profile →
Citations per field
00.5×10×17.3×
Mohammed Sh. Alhodaly · 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 201995
2 202083
3 201778
4 199474
5 202354
6 198641
7 202038
8 201735
9 201027
10 201826
11 201624
12 202323
13 201323
14 201120
15 198618
16 201817
17 201217
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 Information Systems, having authored 77 papers that have together received 988 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (33 papers), Distributed Control Multi-Agent Systems (23 papers), Nonlinear Dynamics and Pattern Formation (15 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 (6 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Control and Systems Engineering (220 citations), Statistical and Nonlinear Physics (114 citations), Modeling and Simulation (41 citations) and Renewable Energy, Sustainability and the Environment (131 citations). Hao Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weisheng Chen, Zhengqiang Zhang, Jin Xie, Jiayun Liu, David C. Christiani, Ellen A. Eisen, Lixin Jia, David H. Wegman, Sanyang Liu and Meng Hui. Their work appears in journals such as Nonlinear Dynamics, Neurocomputing, Journal of the Franklin Institute, IET Control Theory and Applications and Science China Information Sciences.

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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