Hai Wang
Impact in
- Software top 10%
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
- Software Engineering Research
Papers in
-
- Semantic Web and Ontologies 23
- Advanced Software Engineering Methodologies 7
-
- Service-Oriented Architecture and Web Services 23
- Co-authors
- Jing Sun (12 shared papers)Yuan-Fang Li (6 shared papers)Hongyu Zhang (1 shared paper)Jeff Z. Pan (2 shared papers)Terry R. Payne (8 shared papers)Jin Song Dong (7 shared papers)Kaiming Zhou (2 shared papers)Chengbo Mou (2 shared papers)
- Journals
- Optics Letters (3 papers)Electronics (2 papers)PeerJ (2 papers)Applied Sciences (2 papers)Optics Express (1 paper)
- Partner nations
- United KingdomChinaNew Zealand
In The Last Decade
Hai Wang
55 papers receiving 590 citations
Peers
Comparison fields: 5 of 124
- Software 38
- Information Systems 189
- Artificial Intelligence 210
- Pharmaceutical Science 36
- Management Information Systems 52
Countries citing papers authored by Hai Wang
This map shows the geographic impact of Hai 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 Hai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Wang more than expected).
Fields of papers citing papers by Hai Wang
This network shows the impact of papers produced by Hai 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 Hai Wang. The network helps show where Hai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 | 2002 | 107 | |
| 2 | 2007 | 80 | |
| 3 | 2010 | 54 | |
| 4 | 2010 | 40 | |
| 5 | 2018 | 27 | |
| 6 | 2006 | 25 | |
| 7 | 2017 | 22 | |
| 8 | An intelligent broker agent for energy trading: an MDP approach | 2013 | 21 |
| 9 | 2011 | 21 | |
| 10 | 2004 | 19 | |
| 11 | 2024 | 16 | |
| 12 | 2006 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2010 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2007 | 9 | |
| 19 | 2007 | 9 | |
| 20 | A multi-dimensional histogram for selectivity estimation and fast approximate query answering | 2003 | 8 |
About Hai Wang
Hai Wang is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Management Information Systems and Molecular Biology, having authored 63 papers that have together received 638 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Service-Oriented Architecture and Web Services (23 papers), Business Process Modeling and Analysis (8 papers), Advanced Software Engineering Methodologies (7 papers), Advanced Fiber Laser Technologies (5 papers), Advanced Database Systems and Queries (5 papers), Model-Driven Software Engineering Techniques (5 papers) and Photonic Crystal and Fiber Optics (4 papers). The work is most often cited by research in Software (38 citations), Information Systems (189 citations), Artificial Intelligence (210 citations), Pharmaceutical Science (36 citations) and Management Information Systems (52 citations). Hai Wang has collaborated with scholars based in United Kingdom, China and New Zealand. Frequent co-authors include Jing Sun, Yuan-Fang Li, Hongyu Zhang, Jeff Z. Pan, Terry R. Payne, Jin Song Dong, Kaiming Zhou, Chengbo Mou, Paul Harper and Brandon G. Bale. Their work appears in journals such as Optics Letters, Electronics, PeerJ, Applied Sciences and Optics Express.
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.