Lwin Khin Shar

1.3k total citations
43 papers, 884 citations indexed

About

Lwin Khin Shar is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Lwin Khin Shar has authored 43 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 23 papers in Artificial Intelligence and 20 papers in Software. Recurrent topics in Lwin Khin Shar's work include Web Application Security Vulnerabilities (20 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (14 papers). Lwin Khin Shar is often cited by papers focused on Web Application Security Vulnerabilities (20 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (14 papers). Lwin Khin Shar collaborates with scholars based in Singapore, Luxembourg and Italy. Lwin Khin Shar's co-authors include Hee Beng Kuan Tan, Lionel Briand, Domenico Bianculli, Mahinthan Chandramohan, Mariano Ceccato, Arda Göknil, David Lo, Fabrizio Pastore, Andrew E. Santosa and Asankhaya Sharma and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Vehicular Technology and Computer.

In The Last Decade

Lwin Khin Shar

40 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lwin Khin Shar Singapore 17 754 472 317 246 233 43 884
Michael Howard United States 9 533 0.7× 292 0.6× 282 0.9× 180 0.7× 173 0.7× 18 713
Mahinthan Chandramohan Singapore 13 475 0.6× 605 1.3× 208 0.7× 405 1.6× 308 1.3× 23 810
André Grégio Brazil 14 381 0.5× 515 1.1× 248 0.8× 119 0.5× 508 2.2× 58 701
Fabian Yamaguchi Germany 11 1.2k 1.5× 1.1k 2.3× 451 1.4× 720 2.9× 431 1.8× 18 1.5k
Raja Vallée-Rai Canada 6 513 0.7× 388 0.8× 385 1.2× 444 1.8× 263 1.1× 6 874
Antonino Sabetta Italy 12 368 0.5× 151 0.3× 195 0.6× 186 0.8× 253 1.1× 41 526
Brendan Saltaformaggio United States 14 317 0.4× 373 0.8× 241 0.8× 70 0.3× 272 1.2× 38 548
Cu Nguyen Italy 14 371 0.5× 139 0.3× 211 0.7× 329 1.3× 188 0.8× 40 580
Juanru Li China 16 397 0.5× 415 0.9× 297 0.9× 139 0.6× 167 0.7× 48 672

Countries citing papers authored by Lwin Khin Shar

Since Specialization
Citations

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

Fields of papers citing papers by Lwin Khin Shar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lwin Khin Shar. 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 Lwin Khin Shar. The network helps show where Lwin Khin Shar may publish in the future.

Co-authorship network of co-authors of Lwin Khin Shar

This figure shows the co-authorship network connecting the top 25 collaborators of Lwin Khin Shar. A scholar is included among the top collaborators of Lwin Khin Shar 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 Lwin Khin Shar. Lwin Khin Shar 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.
Shar, Lwin Khin, et al.. (2026). Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. IEEE Internet of Things Journal. 13(6). 10407–10431.
2.
3.
Shar, Lwin Khin, et al.. (2024). Empirical Evaluation of Hyper-parameter Optimization Techniques for Deep Learning-based Malware Detectors. Procedia Computer Science. 246. 2090–2099. 1 indexed citations
4.
Shar, Lwin Khin, et al.. (2024). Fuzzing drones for anomaly detection: A systematic literature review. Computers & Security. 148. 104157–104157.
5.
Shar, Lwin Khin, et al.. (2023). Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding. 1225–1237. 3 indexed citations
6.
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Shar, Lwin Khin, et al.. (2021). Automated reverse engineering of role-based access control policies of web applications. Journal of Systems and Software. 184. 111109–111109. 4 indexed citations
8.
Sharma, Abhishek, et al.. (2021). Out of sight, out of mind? How vulnerable dependencies affect open-source projects. Empirical Software Engineering. 26(4). 50 indexed citations
9.
Shar, Lwin Khin, et al.. (2021). COVID-19 One Year on – Security and Privacy Review of Contact Tracing Mobile Apps. IEEE Pervasive Computing. 20(4). 61–70. 5 indexed citations
10.
Shar, Lwin Khin, et al.. (2020). Experimental comparison of features and classifiers for Android malware detection. 50–60. 5 indexed citations
11.
Shar, Lwin Khin, et al.. (2020). SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps. 365–374. 1 indexed citations
12.
Shar, Lwin Khin, et al.. (2018). An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving. IEEE Transactions on Software Engineering. 46(2). 163–195. 21 indexed citations
13.
Shar, Lwin Khin, et al.. (2017). JoanAudit: a tool for auditing common injection vulnerabilities. Open Repository and Bibliography (University of Luxembourg). 1004–1008. 9 indexed citations
14.
15.
Shar, Lwin Khin, et al.. (2015). Security slicing for auditing XML, XPath, and SQL injection vulnerabilities. Open Repository and Bibliography (University of Luxembourg). 553–564. 14 indexed citations
16.
Tan, Hee Beng Kuan, et al.. (2014). Empirical Comparison of Intermediate Representations for Android Applications.. Open Repository and Bibliography (University of Luxembourg). 205–210. 2 indexed citations
17.
Shar, Lwin Khin, Hee Beng Kuan Tan, & Lionel Briand. (2013). Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis. International Conference on Software Engineering. 642–651. 54 indexed citations
18.
Chandramohan, Mahinthan, Hee Beng Kuan Tan, & Lwin Khin Shar. (2012). Scalable malware clustering through coarse-grained behavior modeling. DR-NTU (Nanyang Technological University). 1–4. 14 indexed citations
19.
Liu, Kaiping, Hee Beng Kuan Tan, & Lwin Khin Shar. (2012). Semi-Automated Verification of Defense against SQL Injection in Web Applications. DR-NTU (Nanyang Technological University). 91–96. 1 indexed citations
20.
Shar, Lwin Khin, Hee Beng Kuan Tan, & Hui Lui. (2010). A Code-Based Input Partitioning Method for Equivalence Class Testing. 223–227. 1 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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