Shiwei Gao

96 total papers · 967 total citations
52 papers, 680 citations indexed

About

Shiwei Gao is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shiwei Gao has authored 52 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shiwei Gao's work include Fault Detection and Control Systems (16 papers), Advanced Algorithms and Applications (7 papers) and Advanced Control Systems Optimization (5 papers). Shiwei Gao is often cited by papers focused on Fault Detection and Control Systems (16 papers), Advanced Algorithms and Applications (7 papers) and Advanced Control Systems Optimization (5 papers). Shiwei Gao collaborates with scholars based in China, Canada and United Kingdom. Shiwei Gao's co-authors include Siva D. Muruganathan, Helka‐Liina Määttänen, Vijaya Yajnanarayana, Mattias Bergström, S. Euler, Y.-P. Eric Wang, Henrik Asplund, Xingqin Lin, Ran Tian and Zhongyu Ma and has published in prestigious journals such as International Journal of Molecular Sciences, The Journal of the Acoustical Society of America and IEEE Communications Magazine.

In The Last Decade

Shiwei Gao

43 papers receiving 669 citations

Hit Papers

The Sky Is Not the Limit:... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shiwei Gao 465 382 176 73 57 52 680
Tao Hong 249 0.5× 320 0.8× 175 1.0× 25 0.3× 65 1.1× 72 631
Ruslan Kirichek 139 0.3× 276 0.7× 389 2.2× 46 0.6× 61 1.1× 80 596
Ahmed Badawy 188 0.4× 291 0.8× 259 1.5× 35 0.5× 118 2.1× 43 745
Amilcare Francesco Santamaria 148 0.3× 282 0.7× 365 2.1× 68 0.9× 71 1.2× 45 590
Hong Peng 106 0.2× 297 0.8× 170 1.0× 40 0.5× 55 1.0× 91 689
V. Palanisamy 133 0.3× 285 0.7× 178 1.0× 40 0.5× 80 1.4× 103 745
Robert Barton 274 0.6× 408 1.1× 381 2.2× 112 1.5× 104 1.8× 35 784
Limin Meng 104 0.2× 368 1.0× 297 1.7× 108 1.5× 98 1.7× 104 694
Yonghua Xiong 178 0.4× 135 0.4× 242 1.4× 64 0.9× 214 3.8× 69 727
Fangzhou Wang 312 0.7× 238 0.6× 103 0.6× 20 0.3× 21 0.4× 63 648

Countries citing papers authored by Shiwei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Gao. A scholar is included among the top collaborators of Shiwei Gao 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 Shiwei Gao. Shiwei Gao 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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