Peiwei Mi
Impact in
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- Business Process Modeling and Analysis
- Software top 10%
- Model-Driven Software Engineering Techniques
- Software Reliability and Analysis Research
Papers in
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- Software Engineering Research 7
- Service-Oriented Architecture and Web Services 6
- Software Engineering Techniques and Practices 4
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- Business Process Modeling and Analysis 10
- Big Data and Business Intelligence 1
- Co-authors
- Walt Scacchi (12 shared papers)Pankaj Garg (1 shared paper)Thuan Quoc Pham (1 shared paper)Gaohong He (1 shared paper)Minggang Guo (1 shared paper)Shikai Liu (1 shared paper)Yan Dai (1 shared paper)
- Journals
- Decision Support Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Software (1 paper)Separation and Purification Technology (1 paper)International Conference on Software Engineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Peiwei Mi
13 papers receiving 259 citations
Peers
Comparison fields: 5 of 30
- Management Information Systems 146
- Software 44
- Information Systems 241
- Computer Science Applications 34
- Artificial Intelligence 105
Countries citing papers authored by Peiwei Mi
This map shows the geographic impact of Peiwei Mi'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 Peiwei Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiwei Mi more than expected).
Fields of papers citing papers by Peiwei Mi
This network shows the impact of papers produced by Peiwei Mi. 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 Peiwei Mi. The network helps show where Peiwei Mi may publish in the future.
Co-authors
The 7 scholars most cited alongside Peiwei Mi, 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 | 1990 | 91 | |
| 2 | 1992 | 69 | |
| 3 | 1996 | 55 | |
| 4 | 1997 | 24 | |
| 5 | 1994 | 16 | |
| 6 | 2005 | 15 | |
| 7 | 2002 | 8 | |
| 8 | 2002 | 6 | |
| 9 | Experiences in the Modeling, Analysis, and Simulation of Formalized Software Processes. | 1993 | 3 |
| 10 | 1997 | 3 | |
| 11 | 2003 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2005 | 1 | |
| 14 | 2017 | 0 |
About Peiwei Mi
Peiwei Mi is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Software and Computer Networks and Communications, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (10 papers), Software Engineering Research (7 papers), Service-Oriented Architecture and Web Services (6 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Techniques and Practices (4 papers), Model-Driven Software Engineering Techniques (2 papers), Open Source Software Innovations (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Management Information Systems (146 citations), Software (44 citations), Information Systems (241 citations), Computer Science Applications (34 citations) and Artificial Intelligence (105 citations). Peiwei Mi has collaborated with scholars based in United States and China. Frequent co-authors include Walt Scacchi, Pankaj Garg, Thuan Quoc Pham, Gaohong He, Minggang Guo, Shikai Liu and Yan Dai. Their work appears in journals such as Decision Support Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Software, Separation and Purification Technology and International Conference on Software Engineering.
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.