Siyuan Dong
- Biomedical Engineering top 2%
- Cognitive Neuroscience top 2%
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 5%
- Co-authors
- Edward H. AdelsonWenzhen YuanAlberto RodríguezSolomon BrownDaolin MaIan TaylorElliott DonlonLI Jian-hua
- Topics
- Robot Manipulation and Learning (12 papers)Tactile and Sensory Interactions (10 papers)Smart Grid Energy Management (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Siyuan Dong
36 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Biomedical Engineering 1.1k
- Cognitive Neuroscience 951
- Control and Systems Engineering 808
- Electrical and Electronic Engineering 375
- Mechanical Engineering 358
Countries citing papers authored by Siyuan Dong
This map shows the geographic impact of Siyuan Dong'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 Siyuan Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyuan Dong more than expected).
Fields of papers citing papers by Siyuan Dong
This network shows the impact of papers produced by Siyuan Dong. 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 Siyuan Dong. The network helps show where Siyuan Dong may publish in the future.
Co-authorship network of co-authors of Siyuan Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Dong. A scholar is included among the top collaborators of Siyuan Dong 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 Siyuan Dong. Siyuan Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | GelSlim 3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Fingerbreakdown → | 131 |
| 6 | 52 | |
| 7 | 101 | |
| 8 | 10 | |
| 9 | 29 | |
| 10 | 5 | |
| 11 | 40 | |
| 12 | 14 | |
| 13 | 57 | |
| 14 | 52 | |
| 15 | 65 | |
| 16 | 11 | |
| 17 | 127 | |
| 18 | 13 | |
| 19 | 27 | |
| 20 | 7 |
About Siyuan Dong
Siyuan Dong is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Cognitive Neuroscience, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Tactile and Sensory Interactions (10 papers) and Smart Grid Energy Management (8 papers). The work is most often cited by research in Cognitive Neuroscience (951 citations), Control and Systems Engineering (808 citations) and Human-Computer Interaction (185 citations). Siyuan Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Edward H. Adelson, Wenzhen Yuan, Alberto Rodríguez, Solomon Brown, Daolin Ma, Ian Taylor, Elliott Donlon, LI Jian-hua, Yu She and Rachael Rothman. Their work appears in journals such as Nature Communications, Renewable and Sustainable Energy Reviews and Chemical Communications.
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.