Suqi Li
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
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 27
- Gaussian Processes and Bayesian Inference 8
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- Radar Systems and Signal Processing 7
- Advanced SAR Imaging Techniques 6
- Co-authors
- Bailu Wang (30 shared papers)Wei Yi (27 shared papers)Lingjiang Kong (22 shared papers)Reza Hoseinnezhad (4 shared papers)Giorgio Battistelli (12 shared papers)Luigi Chisci (9 shared papers)Xiaobo Yang (3 shared papers)Ravin Narain (1 shared paper)
In The Last Decade
Suqi Li
45 papers receiving 896 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 534
- Computer Networks and Communications 360
- Aerospace Engineering 172
- Control and Systems Engineering 127
- Oceanography 49
Countries citing papers authored by Suqi Li
This map shows the geographic impact of Suqi Li'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 Suqi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suqi Li more than expected).
Fields of papers citing papers by Suqi Li
This network shows the impact of papers produced by Suqi Li. 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 Suqi Li. The network helps show where Suqi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Suqi Li, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2017 | 96 | |
| 3 | 2018 | 92 | |
| 4 | 2018 | 86 | |
| 5 | 2009 | 79 | |
| 6 | 2019 | 62 | |
| 7 | 2017 | 56 | |
| 8 | 2017 | 45 | |
| 9 | 2023 | 36 | |
| 10 | 2019 | 31 | |
| 11 | 2016 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2020 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2015 | 13 | |
| 19 | Distributed multi-target tracking via generalized multi-Bernoulli random finite sets | 2015 | 10 |
| 20 | 2022 | 8 |
About Suqi Li
Suqi Li is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 50 papers that have together received 921 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (27 papers), Distributed Sensor Networks and Detection Algorithms (13 papers), Gaussian Processes and Bayesian Inference (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Radar Systems and Signal Processing (7 papers), Advanced SAR Imaging Techniques (6 papers), Direction-of-Arrival Estimation Techniques (5 papers) and Pulmonary Hypertension Research and Treatments (5 papers). The work is most often cited by research in Artificial Intelligence (534 citations), Computer Networks and Communications (360 citations), Aerospace Engineering (172 citations), Control and Systems Engineering (127 citations) and Oceanography (49 citations). Suqi Li has collaborated with scholars based in China, Italy and Australia. Frequent co-authors include Bailu Wang, Wei Yi, Lingjiang Kong, Reza Hoseinnezhad, Giorgio Battistelli, Luigi Chisci, Xiaobo Yang, Ravin Narain, Zhicheng Deng and Xiaoze Jiang. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, International Journal of Cardiology, IEEE Wireless Communications Letters and European Respiratory Journal.
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.