Lawrence Chung

7.9k total citations · 2 hit papers
125 papers, 3.2k citations indexed

About

Lawrence Chung is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lawrence Chung has authored 125 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Information Systems, 90 papers in Artificial Intelligence and 33 papers in Computer Networks and Communications. Recurrent topics in Lawrence Chung's work include Advanced Software Engineering Methodologies (78 papers), Service-Oriented Architecture and Web Services (49 papers) and Software Engineering Research (40 papers). Lawrence Chung is often cited by papers focused on Advanced Software Engineering Methodologies (78 papers), Service-Oriented Architecture and Web Services (49 papers) and Software Engineering Research (40 papers). Lawrence Chung collaborates with scholars based in United States, Spain and Canada. Lawrence Chung's 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 and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Software.

In The Last Decade

Lawrence Chung

122 papers receiving 3.0k citations

Hit Papers

Non-Functional Requirements in Software Engineering 1992 2026 2003 2014 2000 1992 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lawrence Chung United States 21 2.5k 2.3k 708 635 528 125 3.2k
Xavier Franch Spain 30 2.3k 0.9× 1.4k 0.6× 825 1.2× 520 0.8× 587 1.1× 310 3.3k
Uwe Zdun Austria 24 2.2k 0.9× 1.5k 0.7× 1.0k 1.4× 455 0.7× 621 1.2× 255 2.8k
Paul Grünbacher Austria 30 2.9k 1.1× 2.5k 1.1× 840 1.2× 890 1.4× 346 0.7× 186 3.5k
Ivica Crnković Sweden 29 1.6k 0.6× 1.4k 0.6× 777 1.1× 643 1.0× 215 0.4× 178 2.9k
Robert L. Nord United States 22 2.6k 1.0× 1.6k 0.7× 940 1.3× 742 1.2× 280 0.5× 94 3.2k
David Garlan United States 24 2.7k 1.1× 2.8k 1.2× 2.0k 2.8× 853 1.3× 272 0.5× 151 4.6k
H. Dieter Rombach United States 20 2.5k 1.0× 1.0k 0.4× 500 0.7× 1.0k 1.6× 506 1.0× 53 3.1k
Brian A. Nixon Canada 11 1.6k 0.6× 1.5k 0.7× 413 0.6× 386 0.6× 298 0.6× 20 2.0k
Dewayne E. Perry United States 32 4.6k 1.8× 2.7k 1.2× 1.6k 2.2× 1.6k 2.5× 442 0.8× 162 5.5k
Colette Rolland France 21 1.5k 0.6× 1.1k 0.5× 344 0.5× 399 0.6× 634 1.2× 90 2.3k

Countries citing papers authored by Lawrence Chung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Iqbal, Sumaiya, Wei Jiang, Eric R. Hansen, et al.. (2025). Evaluation of DNA encoded library and machine learning model combinations for hit discovery. 2(1). 2 indexed citations
2.
Ali, Nazakat, Jang‐Eui Hong, & Lawrence Chung. (2020). Social network sites and requirements engineering: A systematic literature review. Journal of Software Evolution and Process. 33(4). 7 indexed citations
3.
Park, Grace, et al.. (2017). Deriving use cases from business processes. 1288–1295. 6 indexed citations
4.
Kim, Dong-Jin, Seong-je Cho, Jongmoo Choi, et al.. (2014). A birthmark-based method for intellectual software asset management. 1–6. 4 indexed citations
5.
Supakkul, Sam, et al.. (2012). Proceedings of 2012 IEEE 2nd International Workshop on Requirements Patterns (RePa). 1 indexed citations
6.
Noguera, Manuel, et al.. (2012). REUBI: A Requirements Engineering method for ubiquitous systems. Science of Computer Programming. 78(10). 1895–1911. 19 indexed citations
7.
Chung, Lawrence, et al.. (2012). A goal-oriented simulation approach for obtaining good private cloud-based system architectures. Journal of Systems and Software. 86(9). 2242–2262. 14 indexed citations
8.
Chung, Lawrence, Manuel Noguera, Nary Subramanian, & José Luis García Garrido. (2011). System and software solution-oriented architectures. Science of Computer Programming. 77(1). 1–3. 1 indexed citations
9.
Noguera, Manuel, María Visitación Hurtado, María Luisa Rodríguez, Lawrence Chung, & José Luis García Garrido. (2009). Ontology-driven analysis of UML-based collaborative processes using OWL-DL and CPN. Science of Computer Programming. 75(8). 726–760. 21 indexed citations
10.
Supakkul, Sam, et al.. (2009). Goal-oriented security threat mitigation patterns. 1–15. 2 indexed citations
11.
Noguera, Manuel, María Visitación Hurtado, María Luisa Rodríguez, Lawrence Chung, & José Luis García Garrido. (2007). Description of Collaborative Processes using OWL-DL.. Software Engineering Research and Practice. 574–580. 1 indexed citations
12.
Chung, Lawrence & Nary Subramanian. (2007). Bridging the gap between enterprise architectures and software architectures. Science of Computer Programming. 66(1). 1–3. 4 indexed citations
13.
Ma, Weimin, Kendra Cooper, & Lawrence Chung. (2006). Component-Aware System Architecting: A Software Interoperability.. Software Engineering Research and Practice. 778–784. 1 indexed citations
14.
Subramanian, Nary & Lawrence Chung. (2006). An NFR-Based Framework for Aligning Software Architectures with System Architectures.. Software Engineering Research and Practice. 49(3). 764–770. 4 indexed citations
15.
Cooper, Kendra, Lawrence Chung, & Weimin Ma. (2005). Evaluating off-the-shelf architectural components. 115–121. 1 indexed citations
16.
Chung, Lawrence & Nary Subramanian. (2005). System and software architectures. Science of Computer Programming. 57(1). 1–4. 6 indexed citations
17.
Chung, Lawrence & Kendra Cooper. (2004). COTS-aware requirements engineering and software architecting. International Conference on Software Engineering. 57–63. 13 indexed citations
18.
Subramanian, Nary & Lawrence Chung. (2002). Architecture-driven embedded systems adaptation for supporting vocabulary evolution. 144–153. 14 indexed citations
19.
Subramanian, Nary & Lawrence Chung. (2001). Metrics for Software Adaptability. 27 indexed citations
20.
Chung, Lawrence, Brian A. Nixon, & Eric Yu. (1995). An approach to building quality into software architecture. Conference of the Centre for Advanced Studies on Collaborative Research. 13. 4 indexed citations

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.

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