Lawrence Chung
- Information Systems top 0.1%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 2%
- Software top 0.5%
- Management Information Systems top 1%
- Co-authors
- John MylopoulosBrian A. NixonEric YuNary SubramanianSam SupakkulKendra CooperStephen Shaoyi LiaoYeong-Tae Song
- Topics
- Advanced Software Engineering Methodologies (78 papers)Service-Oriented Architecture and Web Services (49 papers)Software Engineering Research (40 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Lawrence Chung
122 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Information Systems 2.5k
- Artificial Intelligence 2.3k
- Computer Networks and Communications 708
- Software 635
- Management Information Systems 528
Countries citing papers authored by Lawrence Chung
This map shows the geographic impact of Lawrence Chung'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 Lawrence Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Chung more than expected).
Fields of papers citing papers by Lawrence Chung
This network shows the impact of papers produced by Lawrence Chung. 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 Lawrence Chung. The network helps show where Lawrence Chung may publish in the future.
Co-authorship network of co-authors of Lawrence Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Chung. A scholar is included among the top collaborators of Lawrence Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence Chung. Lawrence Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | Proceedings of 2012 IEEE 2nd International Workshop on Requirements Patterns (RePa) | 1 |
| 6 | 19 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | Description of Collaborative Processes using OWL-DL. | 1 |
| 12 | 4 | |
| 13 | Component-Aware System Architecting: A Software Interoperability. | 1 |
| 14 | 4 | |
| 15 | Evaluating off-the-shelf architectural components | 1 |
| 16 | 6 | |
| 17 | COTS-aware requirements engineering and software architecting | 13 |
| 18 | 14 | |
| 19 | Metrics for Software Adaptability | 27 |
| 20 | An approach to building quality into software architecture | 4 |
About Lawrence Chung
Lawrence Chung is a scholar working on Information Systems, Software and Artificial Intelligence, having authored 125 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (78 papers), Service-Oriented Architecture and Web Services (49 papers) and Software Engineering Research (40 papers). The work is most often cited by research in Software (635 citations), Information Systems (2.5k citations) and Artificial Intelligence (2.3k citations). Lawrence Chung has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include John Mylopoulos, Brian A. Nixon, Eric Yu, Eric Yu, Nary Subramanian, Sam Supakkul, Kendra Cooper, Stephen Shaoyi Liao, Yeong-Tae Song and Manuel Noguera. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Software.
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.