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 4
- Titanium Alloys Microstructure and Properties 3
- Hydrogen Storage and Materials 2
-
- Advanced materials and composites 2
- Aluminum Alloys Composites Properties 2
- Co-authors
- Dhyan Chandra (1 shared paper)Dean G. Tang (1 shared paper)Jeremy Mennis (1 shared paper)Farida Latif (1 shared paper)Geoffrey Clark (1 shared paper)Luke B. Hesson (1 shared paper)Shannon R. Payne (1 shared paper)Arndt Hartmann (1 shared paper)
- Journals
- Advanced materials research (9 papers)Transactions in GIS (1 paper)Molecular and Cellular Biology (1 paper)Journal of Biological Chemistry (1 paper)Applied Mechanics and Materials (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Wei Liu
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 103
- Signal Processing 44
- Information Systems 55
- Molecular Biology 148
- Cancer Research 25
- 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 | 2014 | 4 | |
| 5 | 2016 | 4 | |
| 6 | 2014 | 2 | |
| 7 | 2011 | 2 | |
| 8 | 2012 | 2 | |
| 9 | 2015 | 1 | |
| 10 | 2013 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2014 | 0 |
About Jun Wei Liu
Jun Wei Liu is a scholar working on Materials Chemistry, Mechanical Engineering, Molecular Biology, Biomaterials and Pharmacology, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (4 papers), Titanium Alloys Microstructure and Properties (3 papers), Hydrogen Storage and Materials (2 papers), Magnesium Alloys: Properties and Applications (2 papers), Advanced materials and composites (2 papers), Aluminum Alloys Composites Properties (2 papers), Advanced Surface Polishing Techniques (1 paper) and Industrial Technology and Control Systems (1 paper). The work is most often cited by research in Signal Processing (44 citations), Information Systems (55 citations), Molecular Biology (148 citations), Cancer Research (25 citations) and Geography, Planning and Development (9 citations). Jun Wei Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dhyan Chandra, Dean G. Tang, Jeremy Mennis, Farida Latif, Geoffrey Clark, Luke B. Hesson, Shannon R. Payne, Arndt Hartmann, Michele D. Vos and Laura Gordon. Their work appears in journals such as Advanced materials research, Transactions in GIS, Molecular and Cellular Biology, Journal of Biological Chemistry and Applied Mechanics and Materials.
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.