Andy Wang
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
-
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
Papers in
- Surgery 13
- Anesthesia and Pain Management 5
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 5
- Co-authors
- Dawei Li (1 shared paper)Jingwen Zhu (1 shared paper)Hairong Qi (1 shared paper)Yang Song (1 shared paper)Ron I. Riesenburger (23 shared papers)James Kryzanski (21 shared papers)Knarik Arkun (9 shared papers)James M. Harris (2 shared papers)
- Journals
- Cardiology in Review (8 papers)World Neurosurgery (7 papers)Clinical Neurology and Neurosurgery (4 papers)Journal of neurosurgery (2 papers)Journal of NeuroVirology (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Andy Wang
53 papers receiving 437 citations
Peers
Comparison fields: 5 of 102
- Signal Processing 68
- Computer Vision and Pattern Recognition 121
- Nephrology 15
- Developmental Neuroscience 8
- Cellular and Molecular Neuroscience 30
Countries citing papers authored by Andy Wang
This map shows the geographic impact of Andy 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 Andy Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Wang more than expected).
Fields of papers citing papers by Andy Wang
This network shows the impact of papers produced by Andy 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 Andy Wang. The network helps show where Andy Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2018 | 30 | |
| 3 | 2020 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2020 | 15 | |
| 6 | 1995 | 15 | |
| 7 | 2005 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | Blockchain Technology and Its Applications | 2016 | 9 |
| 15 | 1995 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 6 |
About Andy Wang
Andy Wang is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 63 papers that have together received 448 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Blockchain Technology Applications and Security (2 papers), Medical History and Innovations (2 papers), Mechanical Circulatory Support Devices (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). The work is most often cited by research in Signal Processing (68 citations), Computer Vision and Pattern Recognition (121 citations), Nephrology (15 citations), Developmental Neuroscience (8 citations) and Cellular and Molecular Neuroscience (30 citations). Andy Wang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Dawei Li, Jingwen Zhu, Hairong Qi, Yang Song, Ron I. Riesenburger, James Kryzanski, Knarik Arkun, James M. Harris, Paola Arlotta and Ayan R. Patel. Their work appears in journals such as Cardiology in Review, World Neurosurgery, Clinical Neurology and Neurosurgery, Journal of neurosurgery and Journal of NeuroVirology.
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.