Peter Wang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Evolutionary Algorithms and Applications 3
- Reinforcement Learning in Robotics 3
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- Graphene and Nanomaterials Applications 3
- Co-authors
- Dean Ho (20 shared papers)Theodore Kee (6 shared papers)Mikhail Prokopenko (17 shared papers)Stephen J. Read (1 shared paper)Lynn C. Miller (1 shared paper)Allan J. Pantuck (1 shared paper)Alexandra Drakaki (1 shared paper)Sanjay Lakhotia (1 shared paper)
- Journals
- Advanced Therapeutics (4 papers)Advanced Healthcare Materials (2 papers)Lecture notes in computer science (12 papers)Diamond and Related Materials (1 paper)Surgery (1 paper)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
Peter Wang
53 papers receiving 725 citations
Peers
Comparison fields: 5 of 141
- Health Informatics 38
- Computational Theory and Mathematics 87
- Biomaterials 53
- Artificial Intelligence 131
- Molecular Medicine 16
Countries citing papers authored by Peter Wang
This map shows the geographic impact of Peter 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 Peter Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Wang more than expected).
Fields of papers citing papers by Peter Wang
This network shows the impact of papers produced by Peter 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 Peter Wang. The network helps show where Peter Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2018 | 94 | |
| 3 | 2018 | 43 | |
| 4 | 2012 | 41 | |
| 5 | Evaluating Attribution for Graph Neural Networks | 2020 | 39 |
| 6 | 2024 | 36 | |
| 7 | 2019 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2005 | 30 | |
| 10 | 2013 | 21 | |
| 11 | 2024 | 18 | |
| 12 | 2003 | 17 | |
| 13 | Performance of multi-agent coordination of distributed energy resources | 2007 | 15 |
| 14 | 2017 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2024 | 13 | |
| 17 | Relating the entropy of joint beliefs to multi-agent coordination | 2003 | 13 |
| 18 | 2014 | 12 | |
| 19 | 2009 | 11 | |
| 20 | 2022 | 11 |
About Peter Wang
Peter Wang is a scholar working on Artificial Intelligence, Biomedical Engineering, Molecular Biology, Computational Theory and Mathematics and Mechanical Engineering, having authored 57 papers that have together received 783 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (6 papers), Cellular Automata and Applications (4 papers), Sports Analytics and Performance (3 papers), Diamond and Carbon-based Materials Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Evolutionary Algorithms and Applications (3 papers), Graphene and Nanomaterials Applications (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Health Informatics (38 citations), Computational Theory and Mathematics (87 citations), Biomaterials (53 citations), Artificial Intelligence (131 citations) and Molecular Medicine (16 citations). Peter Wang has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Dean Ho, Theodore Kee, Mikhail Prokopenko, Stephen J. Read, Lynn C. Miller, Allan J. Pantuck, Alexandra Drakaki, Sanjay Lakhotia, Xiujuan Qu and Chih‐Ming Ho. Their work appears in journals such as Advanced Therapeutics, Advanced Healthcare Materials, Lecture notes in computer science, Diamond and Related Materials and Surgery.
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.