Suqi Li

1.3k total citations
50 papers, 883 citations indexed

About

Suqi Li is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Suqi Li has authored 50 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Aerospace Engineering and 13 papers in Computer Networks and Communications. Recurrent topics in Suqi Li's 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). Suqi Li is often cited by papers focused on 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). Suqi Li collaborates with scholars based in China, Italy and Australia. Suqi Li's co-authors include Bailu Wang, Wei Yi, Lingjiang Kong, Reza Hoseinnezhad, Giorgio Battistelli, Luigi Chisci, Xiaobo Yang, Zhicheng Deng, Xiaoze Jiang and Ravin Narain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and IEEE Transactions on Signal Processing.

In The Last Decade

Suqi Li

43 papers receiving 858 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suqi Li China 16 517 349 169 119 117 50 883
Liping Li China 17 355 0.7× 187 0.5× 122 0.7× 60 0.5× 17 0.1× 108 1.1k
Che Lin Taiwan 16 133 0.3× 239 0.7× 92 0.5× 37 0.3× 62 0.5× 71 946
Zujun Liu China 12 219 0.4× 165 0.5× 79 0.5× 50 0.4× 11 0.1× 64 752
Xinhua Jiang China 17 154 0.3× 63 0.2× 66 0.4× 39 0.3× 62 0.5× 142 910
Xiaomei Qu China 10 223 0.4× 136 0.4× 117 0.7× 89 0.7× 6 0.1× 53 544
Yongfeng Zhu China 12 133 0.3× 63 0.2× 143 0.8× 28 0.2× 13 0.1× 40 363
Tian Pu China 14 230 0.4× 83 0.2× 274 1.6× 21 0.2× 35 0.3× 52 825
Zongxiang Liu China 15 235 0.5× 33 0.1× 105 0.6× 59 0.5× 8 0.1× 75 702

Countries citing papers authored by Suqi Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Li, Ke, et al.. (2025). PFARN: Pyramid Fusion Attention and Refinement Network for Multiscale Ship Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9821–9836.
2.
Li, Suqi, et al.. (2025). The impact of information transparency in warning signs on drivers’ risk perception: Evidence from event-related potentials. Transportation Research Part F Traffic Psychology and Behaviour. 114. 409–422.
3.
Li, Suqi, Yihan Wang, Bailu Wang, et al.. (2024). Efficient Dual-Scale Generalized Radon-Fourier Transform Detector Family for Long Time Coherent Integration. IEEE Transactions on Signal Processing. 72. 4237–4252. 1 indexed citations
4.
Liu, Qianqian, et al.. (2023). MT-FANet: A Morphology and Topology-Based Feature Alignment Network for SAR Ship Rotation Detection. Remote Sensing. 15(12). 3001–3001. 5 indexed citations
5.
Xu, Kuan‐Man, Bailu Wang, Suqi Li, Yunkai Deng, & Jinghe Wang. (2022). Move-stop-move Target Tracking with Low-altitude Surveillance Radars. SHILAP Revista de lepidopterología.
6.
Wang, Bailu, Suqi Li, Giorgio Battistelli, & Luigi Chisci. (2022). Fast Iterative Adaptive Approach for Indoor Localization With Distributed 5G Small Cells. IEEE Wireless Communications Letters. 11(9). 1980–1984. 8 indexed citations
7.
Wang, Bailu, Suqi Li, Giorgio Battistelli, Luigi Chisci, & Wei Yi. (2022). Multi-Agent Fusion With Different Limited Fields-of-View. IEEE Transactions on Signal Processing. 70. 1560–1575. 21 indexed citations
8.
Wang, Lan, Jian-Hui Lin, Suqi Li, et al.. (2020). The features of rare pathogenic BMPR2 variants in pulmonary arterial hypertension: Comparison between patients and reference population. International Journal of Cardiology. 318. 138–143. 4 indexed citations
9.
Yi, Wei, Suqi Li, Bailu Wang, Reza Hoseinnezhad, & Lingjiang Kong. (2019). Computationally Efficient Distributed Multi-Sensor Fusion With Multi-Bernoulli Filter. IEEE Transactions on Signal Processing. 68. 241–256. 59 indexed citations
10.
Yi, Wei, et al.. (2019). Dynamic Programming based Track-Before-Detect Methods for Airborne Radar System. 1–6. 6 indexed citations
11.
Li, Suqi, Giorgio Battistelli, Luigi Chisci, et al.. (2018). Computationally Eff<roman>i</roman>cient Multi-Agent Multi-Object Tracking With Labeled Random Finite Sets. IEEE Transactions on Signal Processing. 67(1). 260–275. 82 indexed citations
12.
Wang, Xiaojian, Tian‐Yu Lian, Xin Jiang, et al.. (2018). GermlineBMP9mutation causes idiopathic pulmonary arterial hypertension. European Respiratory Journal. 53(3). 1801609–1801609. 90 indexed citations
13.
Li, Suqi, Wei Yi, Reza Hoseinnezhad, Bailu Wang, & Lingjiang Kong. (2017). Multiobject Tracking for Generic Observation Model Using Labeled Random Finite Sets. IEEE Transactions on Signal Processing. 66(2). 368–383. 46 indexed citations
14.
Forti, Nicola, Giorgio Battistelli, Luigi Chisci, et al.. (2017). Distributed Joint Attack Detection and Secure State Estimation. IEEE Transactions on Signal and Information Processing over Networks. 4(1). 96–110. 55 indexed citations
15.
Li, Suqi, Wei Yi, Reza Hoseinnezhad, et al.. (2017). Robust Distributed Fusion With Labeled Random Finite Sets. IEEE Transactions on Signal Processing. 66(2). 278–293. 93 indexed citations
16.
Yan, Yi, Xiaojian Wang, Suqi Li, et al.. (2016). Elevated levels of plasma transforming growth factor-β1 in idiopathic and heritable pulmonary arterial hypertension. International Journal of Cardiology. 222. 368–374. 25 indexed citations
17.
Wang, Bailu, Wei Yi, Suqi Li, et al.. (2015). Distributed multi-target tracking via generalized multi-Bernoulli random finite sets. International Conference on Information Fusion. 253–261. 10 indexed citations
18.
Wang, Bailu, Guolong Cui, Wei Yi, Suqi Li, & Lingjiang Kong. (2014). Adaptive Bayesian detection using polarimetric MIMO radar in spatially heterogeneous clutter. 1218–1222. 1 indexed citations
19.
Li, Suqi. (2008). Cost-effectiveness analysis of moxifloxacin and levofloxacin for treatment of urinary tract infection. Clinical Medicine. 1 indexed citations
20.
Li, Suqi & Guangjun Zhang. (2008). Fast region merging algorithm for watershed transform based on adjacency list. Beijing Hangkong Hangtian Daxue xuebao. 34(11). 1327. 2 indexed citations

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.

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