Ya Gu

1.2k citations
46 papers · 1.0k · h-index 17

Impact in

Papers in

Ya Gu

39 papers receiving 1.0k citations

Peers

Ya Gu
Comparison fields: 5 of 64
  • Control and Systems Engineering 886
  • Civil and Structural Engineering 213
  • Artificial Intelligence 304
  • Computational Mechanics 139
  • Computational Mathematics 3
Replace Yihong Zhou with:
Yihong Zhou China
Hao Ma China
Francesco Dinuzzo Germany
Marcos Netto United States
Zhen Kang China
Junxia Ma China
Jiyang Dai China
M. Hou United Kingdom
Bo Fu China
Laurent Bako France
Ya Gu relative to Yihong Zhou China Yihong Zhou's profile →
Citations per field
00.5×10×20×30×38.3×
Yihong Zhou · 1×
Citations per year

Countries citing papers authored by Ya Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya Gu Line = papers co-authored together Ya Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017110
2 201990
3 201885
4 201879
5 202174
6 201262
7 201560
8 201253
9 201450
10 202249
11 202042
12 201439
13 201230
14 201928
15 202423
16 201323
17 201318
18 201314
19 202113
20 201211

About Ya Gu

Ya Gu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Control Systems and Identification (30 papers), Fault Detection and Control Systems (28 papers), Advanced Control Systems Optimization (11 papers), Neural Networks and Applications (7 papers), Stability and Control of Uncertain Systems (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), ECG Monitoring and Analysis (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Control and Systems Engineering (886 citations), Civil and Structural Engineering (213 citations), Artificial Intelligence (304 citations), Computational Mechanics (139 citations) and Computational Mathematics (3 citations). Ya Gu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Feng Ding, Feng Ding, Quanmin Zhu, Hassan Nouri, Jicheng Liu, Yan Ji, Junhong Li, Tasawar Hayat, Ling Xu and Ahmed Alsaedi. Their work appears in journals such as Journal of the Franklin Institute, International Journal of Adaptive Control and Signal Processing, IEEE Transactions on Circuits & Systems II Express Briefs, IET Control Theory and Applications and 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.

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