W. Eric Wong

8.7k total citations · 2 hit papers
207 papers, 5.9k citations indexed

About

W. Eric Wong is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, W. Eric Wong has authored 207 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Software, 120 papers in Information Systems and 45 papers in Computer Networks and Communications. Recurrent topics in W. Eric Wong's work include Software Reliability and Analysis Research (123 papers), Software Testing and Debugging Techniques (120 papers) and Software Engineering Research (102 papers). W. Eric Wong is often cited by papers focused on Software Reliability and Analysis Research (123 papers), Software Testing and Debugging Techniques (120 papers) and Software Engineering Research (102 papers). W. Eric Wong collaborates with scholars based in United States, China and South Korea. W. Eric Wong's co-authors include Vidroha Debroy, J.R. Horgan, Aditya P. Mathur, Ruizhi Gao, Yihao Li, Yu Qi, S. London, Rui Abreu, Franz Wotawa and Hiralal Agrawal and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Software Engineering.

In The Last Decade

W. Eric Wong

196 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Software Fault Localization

2016 656 citations W. Eric Wong, Ruizhi Gao et al. IEEE Transactions on Software Engineering profile →
The DStar Method for Effective Software Fault Localization

2013 292 citations W. Eric Wong, Vidroha Debroy et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
W. Eric Wong	4.9k	3.9k	1.6k	704	395	207	5.9k
Elaine J. Weyuker	6.0k 1.2×	4.7k 1.2×	2.1k 1.3×	1.2k 1.7×	539 1.4×	139	7.3k
Yvan Labiche	3.6k 0.7×	3.1k 0.8×	958 0.6×	1.2k 1.7×	303 0.8×	124	4.5k
Antonia Bertolino	2.4k 0.5×	2.0k 0.5×	1.1k 0.7×	766 1.1×	198 0.5×	172	3.2k
Andrea Arcuri	5.6k 1.1×	4.6k 1.2×	1.2k 0.8×	1.1k 1.5×	695 1.8×	119	6.7k
Paul Ammann	2.7k 0.6×	2.5k 0.6×	1.8k 1.1×	709 1.0×	1.1k 2.8×	113	4.6k
D. Richard Kuhn	2.3k 0.5×	2.5k 0.6×	1.3k 0.8×	2.6k 3.7×	309 0.8×	126	5.8k
Alexander Pretschner	1.6k 0.3×	1.5k 0.4×	810 0.5×	1.2k 1.8×	607 1.5×	178	3.4k
Annibale Panichella	2.1k 0.4×	2.5k 0.6×	820 0.5×	645 0.9×	501 1.3×	113	3.5k
Aditya P. Mathur	2.5k 0.5×	1.9k 0.5×	2.1k 1.3×	1.7k 2.4×	1.2k 3.1×	160	5.0k
Lingming Zhang	3.5k 0.7×	2.9k 0.7×	910 0.6×	879 1.2×	622 1.6×	106	4.5k

Countries citing papers authored by W. Eric Wong

Since Specialization

Citations

This map shows the geographic impact of W. Eric Wong'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 W. Eric Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Eric Wong more than expected).

Fields of papers citing papers by W. Eric Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Eric Wong. 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 W. Eric Wong. The network helps show where W. Eric Wong may publish in the future.

Co-authorship network of co-authors of W. Eric Wong

This figure shows the co-authorship network connecting the top 25 collaborators of W. Eric Wong. A scholar is included among the top collaborators of W. Eric Wong 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 W. Eric Wong. W. Eric Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Jun, W. Eric Wong, & Bechir Hamdaoui. (2024). Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift. 3567–3572. 2 indexed citations

Li, Yihao, et al.. (2024). Evaluating large language models for software testing. Computer Standards & Interfaces. 93. 103942–103942. 9 indexed citations

Zhang, Shaocheng, et al.. (2024). Search-Based Automated Program Repair: A Survey. 447–456. 1 indexed citations

Chen, Zhenyu, et al.. (2023). Exploring the Capability of ChatGPT in Test Generation. 72–80. 4 indexed citations

Li, Dongcheng, et al.. (2023). Automatic Generation of Solidity Test for Blockchain Smart Contract using Many Objective Search and Dimensionality Reduction. 151. 418–430.

Wong, W. Eric, et al.. (2023). HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. 1122–1128. 3 indexed citations

Zhu, Yan, et al.. (2021). Policychain: A Decentralized Authorization Service With Script-Driven Policy on Blockchain for Internet of Things. IEEE Internet of Things Journal. 9(7). 5391–5409. 18 indexed citations

Gao, Ruizhi, Yabin Wang, Yang Feng, Zhenyu Chen, & W. Eric Wong. (2018). Successes, challenges, and rethinking – an industrial investigation on crowdsourced mobile application testing. Empirical Software Engineering. 24(2). 537–561. 30 indexed citations

Gao, Ruizhi & W. Eric Wong. (2017). MSeer—An Advanced Technique for Locating Multiple Bugs in Parallel. IEEE Transactions on Software Engineering. 45(3). 301–318. 54 indexed citations

10.

Gao, Ruizhi, et al.. (2016). Effective Test Generation for Combinatorial Decision Coverage. 47–54. 6 indexed citations

11.

Belli, Fevzi, et al.. (2016). Model-based mutation testing—Approach and case studies. Science of Computer Programming. 120. 25–48. 39 indexed citations

12.

Wong, W. Eric, et al.. (2013). The Role of Software in Recent Catastrophic Accidents. 8 indexed citations

13.

Laplante, Phillip A., Fevzi Belli, Jerry Gao, et al.. (2010). Software Test Automation. IRL - University of Missouri, St. Louis (University of Missouri–St. Louis). 2010. 1–2. 8 indexed citations

14.

Wong, W. Eric, Tingting Wei, Yu Qi, & Lei Zhao. (2008). A Crosstab-based Statistical Method for Effective Fault Localization. 42–51. 123 indexed citations

15.

Wong, W. Eric, et al.. (2008). Advancing test automation technology to meet the challenges of model-driven software development. 1049–1050. 1 indexed citations

16.

Wong, W. Eric, Yu Qi, Lei Zhao, & Kai‐Yuan Cai. (2007). Effective Fault Localization using Code Coverage. 449–456. 155 indexed citations

17.

Wong, W. Eric, Lei Zhao, Yu Qi, Kai Cai, & Jing Dong. (2007). Effective fault localization using BP neural networks. Software Engineering and Knowledge Engineering. 374–379. 6 indexed citations

18.

Vincenzi, Auri Marcelo Rizzo, José Carlos Maldonado, W. Eric Wong, & Márcio Eduardo Delamaro. (2004). Coverage testing of Java programs and components. Science of Computer Programming. 56(1-2). 211–230. 26 indexed citations

19.

Agrawal, Hiralal, J.R. Horgan, S. London, & W. Eric Wong. (2002). Fault localization using execution slices and dataflow tests. 143–151. 209 indexed citations

20.

Wong, W. Eric, José Carlos Maldonado, Márcio Eduardo Delamaro, & Aditya P. Mathur. (1994). Constrained Mutation in C programs. 439–452. 27 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.

Explore authors with similar magnitude of impact