Hao-Wei Su
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- 3D Printing in Biomedical Research
Papers in
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- Neural Networks and Applications 2
-
- Traffic Prediction and Management Techniques 4
- Co-authors
- Joel Voldman (4 shared papers)Per Augustsson (1 shared paper)Jonas T. Karlsen (1 shared paper)Henrik Bruus (1 shared paper)Han Wei Hou (1 shared paper)Bruce D. Levy (1 shared paper)Jongyoon Han (1 shared paper)Rebecca M. Baron (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Applied Physics Letters (1 paper)IERI Procedia (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Hao-Wei Su
10 papers receiving 392 citations
Peers
Comparison fields: 5 of 76
- Transportation 61
- Biomedical Engineering 288
- Building and Construction 73
- Physical and Theoretical Chemistry 32
- Physiology 11
Countries citing papers authored by Hao-Wei Su
This map shows the geographic impact of Hao-Wei Su'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 Hao-Wei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao-Wei Su more than expected).
Fields of papers citing papers by Hao-Wei Su
This network shows the impact of papers produced by Hao-Wei Su. 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 Hao-Wei Su. The network helps show where Hao-Wei Su may publish in the future.
Co-authors
The 18 scholars most cited alongside Hao-Wei Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 189 | |
| 2 | 2007 | 75 | |
| 3 | 2013 | 52 | |
| 4 | 2016 | 36 | |
| 5 | 2018 | 29 | |
| 6 | 2008 | 4 | |
| 7 | 2013 | 4 | |
| 8 | 2012 | 3 | |
| 9 | 2007 | 2 | |
| 10 | 2007 | 1 |
About Hao-Wei Su
Hao-Wei Su is a scholar working on Artificial Intelligence, Building and Construction, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 10 papers that have together received 395 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Traffic Prediction and Management Techniques (4 papers), Electrical and Bioimpedance Tomography (3 papers), Neural Networks and Applications (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Advanced Authentication Protocols Security (1 paper), Image Processing and 3D Reconstruction (1 paper) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Transportation (61 citations), Biomedical Engineering (288 citations), Building and Construction (73 citations), Physical and Theoretical Chemistry (32 citations) and Physiology (11 citations). Hao-Wei Su has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Joel Voldman, Per Augustsson, Jonas T. Karlsen, Henrik Bruus, Han Wei Hou, Bruce D. Levy, Jongyoon Han, Rebecca M. Baron, Miguel Pinilla-Vera and Etgar Levy. Their work appears in journals such as Lab on a Chip, Proceedings of the National Academy of Sciences, Nature Communications, Applied Physics Letters and IERI Procedia.
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.