Bailu Wang
Impact in
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
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- Distributed Sensor Networks and Detection Algorithms
- Distributed Control Multi-Agent Systems
- Energy Efficient Wireless Sensor Networks
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 24
- Gaussian Processes and Bayesian Inference 7
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- Distributed Sensor Networks and Detection Algorithms 13
- Co-authors
- Suqi Li (30 shared papers)Wei Yi (24 shared papers)Lingjiang Kong (19 shared papers)Reza Hoseinnezhad (5 shared papers)Giorgio Battistelli (11 shared papers)Luigi Chisci (8 shared papers)Xiaobo Yang (4 shared papers)Nicola Forti (1 shared paper)
In The Last Decade
Bailu Wang
32 papers receiving 621 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 527
- Computer Networks and Communications 365
- Aerospace Engineering 148
- Control and Systems Engineering 129
- Signal Processing 35
Countries citing papers authored by Bailu Wang
This map shows the geographic impact of Bailu Wang'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 Bailu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailu Wang more than expected).
Fields of papers citing papers by Bailu Wang
This network shows the impact of papers produced by Bailu Wang. 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 Bailu Wang. The network helps show where Bailu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2017 | 96 | |
| 3 | 2018 | 86 | |
| 4 | 2019 | 62 | |
| 5 | 2017 | 56 | |
| 6 | 2017 | 45 | |
| 7 | 2019 | 31 | |
| 8 | 2016 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 15 | |
| 12 | 2015 | 13 | |
| 13 | Distributed multi-target tracking via generalized multi-Bernoulli random finite sets | 2015 | 10 |
| 14 | 2024 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2014 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Bailu Wang
Bailu Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Signal Processing and Electrical and Electronic Engineering, having authored 35 papers that have together received 640 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (24 papers), Distributed Sensor Networks and Detection Algorithms (13 papers), Indoor and Outdoor Localization Technologies (7 papers), Gaussian Processes and Bayesian Inference (7 papers), Advanced SAR Imaging Techniques (6 papers), Radar Systems and Signal Processing (6 papers), Direction-of-Arrival Estimation Techniques (5 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Artificial Intelligence (527 citations), Computer Networks and Communications (365 citations), Aerospace Engineering (148 citations), Control and Systems Engineering (129 citations) and Signal Processing (35 citations). Bailu Wang has collaborated with scholars based in China, Italy and Australia. Frequent co-authors include Suqi Li, Wei Yi, Lingjiang Kong, Reza Hoseinnezhad, Giorgio Battistelli, Luigi Chisci, Xiaobo Yang, Nicola Forti, Bruno Sinopoli and Guchong Li. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IET Radar Sonar & Navigation, BMC Cardiovascular Disorders and IEEE Wireless Communications Letters.
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.