Suqi Li
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Bailu WangWei YiLingjiang KongReza HoseinnezhadGiorgio BattistelliLuigi ChisciXiaobo YangZhicheng Deng
- Topics
- 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)
- Journals
- SHILAP Revista de lepidopterologíaMacromoleculesIEEE Transactions on Signal Processing
In The Last Decade
Suqi Li
43 papers receiving 858 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 517
- Computer Networks and Communications 349
- Aerospace Engineering 169
- Control and Systems Engineering 119
- Pulmonary and Respiratory Medicine 117
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-authorship network of co-authors of Suqi Li
This figure shows the co-authorship network connecting the top 25 collaborators of Suqi Li. A scholar is included among the top collaborators of Suqi Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suqi Li. Suqi Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 59 | |
| 10 | 6 | |
| 11 | 82 | |
| 12 | 90 | |
| 13 | 46 | |
| 14 | 55 | |
| 15 | 93 | |
| 16 | 25 | |
| 17 | Distributed multi-target tracking via generalized multi-Bernoulli random finite sets | 10 |
| 18 | 1 | |
| 19 | Cost-effectiveness analysis of moxifloxacin and levofloxacin for treatment of urinary tract infection | 1 |
| 20 | Fast region merging algorithm for watershed transform based on adjacency list | 2 |
About Suqi Li
Suqi Li is a scholar working on Artificial Intelligence, Signal Processing and Aerospace Engineering, having authored 50 papers that have together received 883 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) and Gaussian Processes and Bayesian Inference (8 papers). The work is most often cited by research in Artificial Intelligence (517 citations), Computer Networks and Communications (349 citations) and Aerospace Engineering (169 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, Zhicheng Deng, Xiaoze Jiang and Ravin Narain. Their work appears in journals such as SHILAP Revista de lepidopterología, Macromolecules and IEEE Transactions on Signal Processing.
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.