Yinlai Jiang
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Human-Computer Interaction top 5%
- Topics
- Muscle activation and electromyography studies (60 papers)Neuroscience and Neural Engineering (27 papers)Robot Manipulation and Learning (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- JapanChinaSwitzerland
In The Last Decade
Yinlai Jiang
81 papers receiving 524 citations
Peers
Comparison fields: 5 of 78
- Biomedical Engineering 397
- Control and Systems Engineering 159
- Cognitive Neuroscience 143
- Cellular and Molecular Neuroscience 106
- Human-Computer Interaction 56
Countries citing papers authored by Yinlai Jiang
This map shows the geographic impact of Yinlai Jiang'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 Yinlai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinlai Jiang more than expected).
Fields of papers citing papers by Yinlai Jiang
This network shows the impact of papers produced by Yinlai Jiang. 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 Yinlai Jiang. The network helps show where Yinlai Jiang may publish in the future.
Co-authorship network of co-authors of Yinlai Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yinlai Jiang. A scholar is included among the top collaborators of Yinlai Jiang 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 Yinlai Jiang. Yinlai Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 15 | |
| 13 | 0 | |
| 14 | 32 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Association between Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and Components of Metabolic Syndrome in Young Chinese Men | 1 |
| 20 | Knowledge Acquisition from Motion of Evacuation Instruction Using Singular Value Decomposition | 2 |
About Yinlai Jiang
Yinlai Jiang is a scholar working on Human-Computer Interaction, Biomedical Engineering and Cognitive Neuroscience, having authored 95 papers that have together received 542 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (60 papers), Neuroscience and Neural Engineering (27 papers) and Robot Manipulation and Learning (22 papers). The work is most often cited by research in Human-Computer Interaction (56 citations), Biomedical Engineering (397 citations) and Cognitive Neuroscience (143 citations). Yinlai Jiang has collaborated with scholars based in Japan, China and Switzerland. Frequent co-authors include Hiroshi Yokoi, Wenyang Li, Shuoyu Wang, Yong Xu, Isao Hayashi, Yuta Murai, Bao‐Liang Lu, Ryu Kato, Junyou Yang and Guanglin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.