Zhenchen Wang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Artificial Intelligence in Healthcare 2
-
- Machine Learning in Healthcare 6
- Privacy-Preserving Technologies in Data 4
- Co-authors
- Puja R Myles (9 shared papers)Allan Tucker (7 shared papers)Stefan Poslad (4 shared papers)Athen Ma (1 shared paper)Haibo Mei (1 shared paper)Andrea Capiluppi (3 shared papers)Nan Feng (1 shared paper)Mario Serafim Nunes (1 shared paper)
- Journals
- Heliyon (1 paper)IEEE Multimedia (1 paper)npj Digital Medicine (1 paper)Sensors (1 paper)Computational Intelligence (1 paper)
- Partner nations
- United KingdomItalyGreece
In The Last Decade
Zhenchen Wang
17 papers receiving 357 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 32
- Health Information Management 42
- Transportation 32
- Artificial Intelligence 147
- Management Science and Operations Research 41
Countries citing papers authored by Zhenchen Wang
This map shows the geographic impact of Zhenchen 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 Zhenchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenchen Wang more than expected).
Fields of papers citing papers by Zhenchen Wang
This network shows the impact of papers produced by Zhenchen 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 Zhenchen Wang. The network helps show where Zhenchen Wang may publish in the future.
Co-authors
The 19 scholars most cited alongside Zhenchen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 157 | |
| 2 | 2015 | 85 | |
| 3 | 2021 | 51 | |
| 4 | 2019 | 27 | |
| 5 | 2024 | 17 | |
| 6 | 2020 | 11 | |
| 7 | 2010 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2015 | 4 | |
| 10 | BP neural networks based on genetic algorithms and its application in prediction of battery capacity | 2011 | 3 |
| 11 | 2021 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2013 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2023 | 1 | |
| 18 | A Collective Director for Highly Interactive Viewing of Live Sports Events | 2012 | 0 |
| 19 | 2017 | 0 |
About Zhenchen Wang
Zhenchen Wang is a scholar working on Health Information Management, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Sociology and Political Science, having authored 19 papers that have together received 380 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Video Analysis and Summarization (5 papers), Multimedia Communication and Technology (4 papers), Privacy-Preserving Technologies in Data (4 papers), Data Quality and Management (3 papers), Data-Driven Disease Surveillance (2 papers), Artificial Intelligence in Healthcare (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (42 citations), Transportation (32 citations), Artificial Intelligence (147 citations) and Management Science and Operations Research (41 citations). Zhenchen Wang has collaborated with scholars based in United Kingdom, Italy and Greece. Frequent co-authors include Puja R Myles, Allan Tucker, Stefan Poslad, Athen Ma, Haibo Mei, Andrea Capiluppi, Nan Feng, Mario Serafim Nunes, Darren Lunn and Charalampos Z. Patrikakis. Their work appears in journals such as Heliyon, IEEE Multimedia, npj Digital Medicine, Sensors and Computational Intelligence.
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.