Shiqi Lai

10 total papers · 478 total citations
9 papers, 365 citations indexed

About

Shiqi Lai is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shiqi Lai has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Shiqi Lai's work include Fault Detection and Control Systems (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Time Series Analysis and Forecasting (4 papers). Shiqi Lai is often cited by papers focused on Fault Detection and Control Systems (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Time Series Analysis and Forecasting (4 papers). Shiqi Lai collaborates with scholars based in Canada and China. Shiqi Lai's co-authors include X. Li, Tongwen Chen, Fan Yang, Wenkai Hu, Cen Guo, Liang Cao, Ahmad W. Al-Dabbagh and Sirish L. Shah and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Process Safety and Environmental Protection and Journal of Process Control.

In The Last Decade

Shiqi Lai

9 papers receiving 336 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shiqi Lai	248	147	131	63	55	9	365
Xinlei Zhou	209 0.8×	46 0.3×	106 0.8×	39 0.6×	9 0.2×	15	374
Hossein Karshenas	245 1.0×	43 0.3×	52 0.4×	19 0.3×	22 0.4×	25	392
Marco Rudolph	246 1.0×	48 0.3×	81 0.6×	32 0.5×	5 0.1×	8	302
Dong-Hui Xu	114 0.5×	27 0.2×	103 0.8×	116 1.8×	49 0.9×	10	362
Mingxing Duan	156 0.6×	20 0.1×	79 0.6×	18 0.3×	31 0.6×	17	347
Langming Liu	151 0.6×	26 0.2×	142 1.1×	18 0.3×	7 0.1×	6	365
Mengmeng Ma	193 0.8×	29 0.2×	114 0.9×	15 0.2×	6 0.1×	7	315
Thomas Petsche	231 0.9×	56 0.4×	110 0.8×	11 0.2×	3 0.1×	11	397
Hao Wang	209 0.8×	27 0.2×	61 0.5×	15 0.2×	8 0.1×	14	335
Denis Gudovskiy	246 1.0×	40 0.3×	89 0.7×	34 0.5×	3 0.1×	7	319

Countries citing papers authored by Shiqi Lai

Since Specialization

Citations

This map shows the geographic impact of Shiqi Lai'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 Shiqi Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqi Lai more than expected).

Fields of papers citing papers by Shiqi Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiqi Lai. 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 Shiqi Lai. The network helps show where Shiqi Lai may publish in the future.

Co-authorship network of co-authors of Shiqi Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Shiqi Lai. A scholar is included among the top collaborators of Shiqi Lai 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 Shiqi Lai. Shiqi Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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