Jun Wei Liu
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Information Systems top 10%
- Data Mining Algorithms and Applications
Papers in
-
- Shape Memory Alloy Transformations 3
- Titanium Alloys Microstructure and Properties 2
- Hydrogen Storage and Materials 2
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- Aluminum Alloys Composites Properties 2
- Advanced materials and composites 2
- Co-authors
- Dean G. Tang (1 shared paper)Dhyan Chandra (1 shared paper)Jeremy Mennis (1 shared paper)Kristin Beebe (1 shared paper)Michele D. Vos (1 shared paper)Farida Latif (1 shared paper)Arndt Hartmann (1 shared paper)Luke B. Hesson (1 shared paper)
- Journals
- Molecular and Cellular Biology (1 paper)Advanced materials research (9 papers)Journal of Biological Chemistry (1 paper)Transactions in GIS (1 paper)Materials science forum (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Wei Liu
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 105
- Signal Processing 44
- Information Systems 55
- Molecular Biology 159
- Cancer Research 27
- Geography, Planning and Development 9
Countries citing papers authored by Jun Wei Liu
This map shows the geographic impact of Jun Wei Liu'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 Jun Wei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei Liu more than expected).
Fields of papers citing papers by Jun Wei Liu
This network shows the impact of papers produced by Jun Wei Liu. 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 Jun Wei Liu. The network helps show where Jun Wei Liu may publish in the future.
Co-authors
The 21 scholars most cited alongside Jun Wei Liu, 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 | 2002 | 184 | |
| 2 | 2005 | 91 | |
| 3 | 2010 | 26 | |
| 4 | 2016 | 4 | |
| 5 | 2014 | 4 | |
| 6 | 2014 | 2 | |
| 7 | 2012 | 2 | |
| 8 | 2011 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 1 |
About Jun Wei Liu
Jun Wei Liu is a scholar working on Materials Chemistry, Mechanical Engineering, Molecular Biology, Biomaterials and Pharmacology, having authored 14 papers that have together received 321 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (3 papers), Magnesium Alloys: Properties and Applications (2 papers), Titanium Alloys Microstructure and Properties (2 papers), Aluminum Alloys Composites Properties (2 papers), Hydrogen Storage and Materials (2 papers), Advanced materials and composites (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Signal Processing (44 citations), Information Systems (55 citations), Molecular Biology (159 citations), Cancer Research (27 citations) and Geography, Planning and Development (9 citations). Jun Wei Liu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dean G. Tang, Dhyan Chandra, Jeremy Mennis, Kristin Beebe, Michele D. Vos, Farida Latif, Arndt Hartmann, Luke B. Hesson, Laura Gordon and Howard Donninger. Their work appears in journals such as Molecular and Cellular Biology, Advanced materials research, Journal of Biological Chemistry, Transactions in GIS and Materials science forum.
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.