Haibin Shao
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- Distributed Control Multi-Agent Systems 32
- Neural Networks Stability and Synchronization 25
- Nonlinear Dynamics and Pattern Formation 4
- Opportunistic and Delay-Tolerant Networks 3
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- Opinion Dynamics and Social Influence 16
- Complex Network Analysis Techniques 13
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- Advanced Memory and Neural Computing 3
- Advanced Optical Network Technologies 2
- Journals
- IEEE Transactions on Automatic Control (4 papers)Scientific Reports (1 paper)Automatica (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haibin Shao
42 papers receiving 316 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 250
- Statistical and Nonlinear Physics 106
- Geometry and Topology 13
- Control and Systems Engineering 31
- Management Science and Operations Research 14
Countries citing papers authored by Haibin Shao
This map shows the geographic impact of Haibin Shao'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 Haibin Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibin Shao more than expected).
Fields of papers citing papers by Haibin Shao
This network shows the impact of papers produced by Haibin Shao. 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 Haibin Shao. The network helps show where Haibin Shao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haibin Shao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2020 | 18 | |
| 14 | An RGBD-SLAM with Bi-directional PnP Method and Fuzzy Frame Detection Module | 2019 | 1 |
| 15 | 2018 | 50 | |
| 16 | 2018 | 0 | |
| 17 | 2017 | 7 | |
| 18 | 2015 | 1 | |
| 19 | Consensus of second-order multi-agent systems under time-varying communication networks | 2011 | 3 |
| 20 | Consensus problem of double-integrator dynamics system under time-varying networks | 2009 | 5 |
About Haibin Shao
Haibin Shao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Geometry and Topology, having authored 48 papers that have together received 321 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (32 papers), Neural Networks Stability and Synchronization (25 papers), Opinion Dynamics and Social Influence (16 papers), Complex Network Analysis Techniques (13 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Advanced Memory and Neural Computing (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Advanced Optical Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Statistical and Nonlinear Physics (106 citations) and Geometry and Topology (13 citations). Haibin Shao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dewei Li, Yugeng Xi, Lulu Pan, Mehran Mesbahi, Yufan Zheng, Yuanlong Li, Linli Zhang, Shuai Jia, Shibei Xue and Zhongxue Gan. Their work appears in journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.
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.