Xiaojing Liao
- Information Systems top 1%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Sociology and Political Science
- Co-authors
- Raheem BeyahLuyi XingKan YuanZhou LiXiaofeng WangSumayah AlrwaisXianghang MiKai Chen
- Topics
- Advanced Malware Detection Techniques (29 papers)Spam and Phishing Detection (13 papers)Network Security and Intrusion Detection (12 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Xiaojing Liao
55 papers receiving 776 citations
Peers
Comparison fields: 5 of 78
- Information Systems 466
- Signal Processing 361
- Artificial Intelligence 306
- Computer Networks and Communications 303
- Sociology and Political Science 77
Countries citing papers authored by Xiaojing Liao
This map shows the geographic impact of Xiaojing Liao'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 Xiaojing Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Liao more than expected).
Fields of papers citing papers by Xiaojing Liao
This network shows the impact of papers produced by Xiaojing Liao. 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 Xiaojing Liao. The network helps show where Xiaojing Liao may publish in the future.
Co-authorship network of co-authors of Xiaojing Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Liao. A scholar is included among the top collaborators of Xiaojing Liao 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 Xiaojing Liao. Xiaojing Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | Devils in the Guidance: Predicting Logic Vulnerabilities in Payment Syndication Services through Automated Documentation Analysis | 13 |
| 17 | Understanding and Securing Device Vulnerabilities through Automated Bug Report Analysis | 18 |
| 18 | 37 | |
| 19 | Reading Thieves' Cant: Automatically Identifying and Understanding Dark Jargons from Cybercrime Marketplaces. | 21 |
| 20 | 13 |
About Xiaojing Liao
Xiaojing Liao is a scholar working on Signal Processing, Information Systems and Software, having authored 57 papers that have together received 801 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (29 papers), Spam and Phishing Detection (13 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Signal Processing (361 citations), Information Systems (466 citations) and Software (72 citations). Xiaojing Liao has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Raheem Beyah, Luyi Xing, Kan Yuan, Zhou Li, Xiaofeng Wang, Xiaofeng Wang, Xiaofeng Wang, Sumayah Alrwais, Xianghang Mi and Kai Chen. Their work appears in journals such as Environmental Pollution, IEEE Access and Journal of Medical Internet Research.
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.