Janet Wang
Impact in
- Health Informatics top 5%
Papers in
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- VLSI and Analog Circuit Testing 4
-
- Low-power high-performance VLSI design 7
- Advanced Memory and Neural Computing 6
- VLSI and FPGA Design Techniques 5
- Semiconductor materials and devices 4
- Co-authors
- Voon Wee Yong (4 shared papers)Manoj Kumar Mishra (3 shared papers)Cláudia Silva (3 shared papers)Foroozan S. Koushan (4 shared papers)Juan José Sáenz (4 shared papers)Shane Hollmer (4 shared papers)Michael N. Kozicki (3 shared papers)John R. Jameson (3 shared papers)
- Journals
- Nature Communications (2 papers)Applied Physics Letters (2 papers)Archives of Biochemistry and Biophysics (1 paper)Journal of genetics and genomics (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Janet Wang
40 papers receiving 777 citations
Peers
Comparison fields: 5 of 113
- Health Informatics 41
- Research and Theory 9
- Hardware and Architecture 69
- Neurology 62
- Biological Psychiatry 14
Countries citing papers authored by Janet Wang
This map shows the geographic impact of Janet Wang'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 Janet Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Wang more than expected).
Fields of papers citing papers by Janet Wang
This network shows the impact of papers produced by Janet Wang. 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 Janet Wang. The network helps show where Janet Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 81 | |
| 2 | 2014 | 79 | |
| 3 | 2022 | 78 | |
| 4 | 2012 | 63 | |
| 5 | 2004 | 55 | |
| 6 | 2022 | 52 | |
| 7 | 2011 | 48 | |
| 8 | 2012 | 37 | |
| 9 | 2022 | 36 | |
| 10 | 1991 | 26 | |
| 11 | 2013 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2009 | 20 | |
| 15 | 2010 | 17 | |
| 16 | 2009 | 14 | |
| 17 | 1985 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2009 | 11 | |
| 20 | 2007 | 10 |
About Janet Wang
Janet Wang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Immunology, Cancer Research and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 804 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (7 papers), Advanced Memory and Neural Computing (6 papers), VLSI and FPGA Design Techniques (5 papers), VLSI and Analog Circuit Testing (4 papers), Semiconductor materials and devices (4 papers), Interconnection Networks and Systems (3 papers), Cancer Genomics and Diagnostics (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Health Informatics (41 citations), Research and Theory (9 citations), Hardware and Architecture (69 citations), Neurology (62 citations) and Biological Psychiatry (14 citations). Janet Wang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Voon Wee Yong, Manoj Kumar Mishra, Cláudia Silva, Foroozan S. Koushan, Juan José Sáenz, Shane Hollmer, Michael N. Kozicki, John R. Jameson, Sarma B. K. Vrudhula and Ahmed Louri. Their work appears in journals such as Nature Communications, Applied Physics Letters, Archives of Biochemistry and Biophysics, Journal of genetics and genomics and Journal of the American Heart Association.
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.