Jing Kai Siow

426 citations
4 papers · 181 · h-index 4

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Advanced Malware Detection Techniques

Papers in

Journals
ACM Transactions on Software Engineering and Methodology (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (1 paper)arXiv (Cornell University) (1 paper)
Partner nations
SingaporeChina

In The Last Decade

Jing Kai Siow

4 papers receiving 179 citations

Peers

Jing Kai Siow
Comparison fields: 5 of 22
  • Software 97
  • Signal Processing 92
  • Information Systems 161
  • Computer Networks and Communications 44
  • Artificial Intelligence 40
Replace Matthieu Jimenez with:
Matthieu Jimenez Luxembourg
Tianming Liu China
Cristian-Alexandru Staicu Germany
Saurabh Pujar United States
Martin Schäf United States
Seunghoon Woo South Korea
Jevgenija Pantiuchina Switzerland
Pavan Kumar Chittimalli India
Yania Crespo Spain
Jing Kai Siow relative to Matthieu Jimenez Luxembourg Matthieu Jimenez's profile →
Citations per field
00.5×1.5×2.5×
Matthieu Jimenez · 1×
Citations per year

Countries citing papers authored by Jing Kai Siow

Since Specialization
Citations

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

Fields of papers citing papers by Jing Kai Siow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Kai Siow. 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 Jing Kai Siow. The network helps show where Jing Kai Siow may publish in the future.

Co-authors

The 10 scholars most cited alongside Jing Kai Siow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Kai Siow Line = papers co-authored together Jing Kai Siow links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Jing Kai Siow

Jing Kai Siow is a scholar working on Information Systems, Signal Processing, Software, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 181 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Software Engineering Research (4 papers), Software Reliability and Analysis Research (2 papers) and Web Application Security Vulnerabilities (2 papers). The work is most often cited by research in Software (97 citations), Signal Processing (92 citations), Information Systems (161 citations), Computer Networks and Communications (44 citations) and Artificial Intelligence (40 citations). Jing Kai Siow has collaborated with scholars based in Singapore and China. Frequent co-authors include Yang Liu, Shangqing Liu, Yaqin Zhou, Xiaoning Du, Chenyu Wang, Cuiyun Gao, Lingling Fan, Sen Chen, Guozhu Meng and Xiaofei Xie. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) and arXiv (Cornell University).

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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