Shengyao Gao
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Mechanics of Materials top 10%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Machine Fault Diagnosis Techniques (4 papers)Fault Detection and Control Systems (3 papers)
- Journals
- IEEE Transactions on Industrial InformaticsIEEE Internet of Things JournalIEEE Transactions on Instrumentation and Measurement
- Partner nations
- ChinaUnited States
In The Last Decade
Shengyao Gao
10 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 454
- Mechanical Engineering 227
- Mechanics of Materials 186
- Artificial Intelligence 136
- Civil and Structural Engineering 90
Countries citing papers authored by Shengyao Gao
This map shows the geographic impact of Shengyao 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 Shengyao Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengyao Gao more than expected).
Fields of papers citing papers by Shengyao Gao
This network shows the impact of papers produced by Shengyao 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 Shengyao Gao. The network helps show where Shengyao Gao may publish in the future.
Co-authorship network of co-authors of Shengyao Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Shengyao Gao. A scholar is included among the top collaborators of Shengyao 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 Shengyao Gao. Shengyao Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 45 | |
| 4 | 7 | |
| 5 | Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learningbreakdown → | 265 |
| 6 | 123 | |
| 7 | 36 | |
| 8 | 101 | |
| 9 | 96 | |
| 10 | 4 |
About Shengyao Gao
Shengyao Gao is a scholar working on Industrial and Manufacturing Engineering, Ecological Modeling and Control and Systems Engineering, having authored 10 papers that have together received 682 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Machine Fault Diagnosis Techniques (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (454 citations), Mechanics of Materials (186 citations) and Medical Laboratory Technology (11 citations). Shengyao Gao has collaborated with scholars based in China and United States. Frequent co-authors include Yibin Li, Yan Song, Lei Jia, Qiqiang Li, Meikang Qiu, Fuzhen Pang, Xuhong Miao, Daichao Wang, Feng Liu and Haichao Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and IEEE Transactions on Instrumentation and Measurement.
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.