Mingming Bai
Impact in
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Aerospace Engineering top 10%
- Inertial Sensor and Navigation
- GNSS positioning and interference
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 14
- Bayesian Methods and Mixture Models 2
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- Underwater Vehicles and Communication Systems 4
- Co-authors
- Yonggang zhang (15 shared papers)Yulong Huang (11 shared papers)Guangle Jia (7 shared papers)Feng Chen (1 shared paper)Badong Chen (2 shared papers)Jonathon A. Chambers (2 shared papers)Ning Li (3 shared papers)Jonathon A. Chambers (1 shared paper)
- Journals
- IEEE Sensors Journal (2 papers)Signal Processing (2 papers)IEEE Transactions on Industrial Informatics (1 paper)IEEE Access (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Mingming Bai
16 papers receiving 474 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 355
- Aerospace Engineering 185
- Ocean Engineering 69
- Control and Systems Engineering 104
- Oceanography 47
Countries citing papers authored by Mingming Bai
This map shows the geographic impact of Mingming Bai'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 Mingming Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Bai more than expected).
Fields of papers citing papers by Mingming Bai
This network shows the impact of papers produced by Mingming Bai. 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 Mingming Bai. The network helps show where Mingming Bai may publish in the future.
Co-authors
The 16 scholars most cited alongside Mingming Bai, 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 | 2020 | 89 | |
| 2 | 2022 | 56 | |
| 3 | 2021 | 48 | |
| 4 | 2021 | 42 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2018 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2022 | 9 | |
| 15 | 2018 | 5 | |
| 16 | 2019 | 3 |
About Mingming Bai
Mingming Bai is a scholar working on Artificial Intelligence, Ocean Engineering, Statistics and Probability, Civil and Structural Engineering and Computer Networks and Communications, having authored 16 papers that have together received 478 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Underwater Vehicles and Communication Systems (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Water Systems and Optimization (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Inertial Sensor and Navigation (3 papers), GNSS positioning and interference (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Artificial Intelligence (355 citations), Aerospace Engineering (185 citations), Ocean Engineering (69 citations), Control and Systems Engineering (104 citations) and Oceanography (47 citations). Mingming Bai has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yonggang zhang, Yulong Huang, Guangle Jia, Feng Chen, Badong Chen, Jonathon A. Chambers, Ning Li, Jonathon A. Chambers, Youfu Li and Yang Liu. Their work appears in journals such as IEEE Sensors Journal, Signal Processing, IEEE Transactions on Industrial Informatics, IEEE Access and IEEE Transactions on Instrumentation and Measurement.
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.