Guangdong Bai
- Information Systems top 1%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Jin Song DongYun LinPardeep KumarAndrew PaverdAndrew MartinYanjun ZhangNaipeng DongJun Sun
- Topics
- Advanced Malware Detection Techniques (46 papers)Adversarial Robustness in Machine Learning (18 papers)Network Security and Intrusion Detection (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Communications Surveys & Tutorials
In The Last Decade
Guangdong Bai
95 papers receiving 993 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Information Systems 470
- Artificial Intelligence 444
- Signal Processing 312
- Computer Networks and Communications 305
- Control and Systems Engineering 200
Countries citing papers authored by Guangdong Bai
This map shows the geographic impact of Guangdong Bai'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 Guangdong Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangdong Bai more than expected).
Fields of papers citing papers by Guangdong Bai
This network shows the impact of papers produced by Guangdong Bai. 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 Guangdong Bai. The network helps show where Guangdong Bai may publish in the future.
Co-authorship network of co-authors of Guangdong Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Guangdong Bai. A scholar is included among the top collaborators of Guangdong Bai 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 Guangdong Bai. Guangdong Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issuesbreakdown → | 233 |
| 19 | AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. | 63 |
| 20 | Context-Aware Usage Control for Android | 16 |
About Guangdong Bai
Guangdong Bai is a scholar working on Signal Processing, Software and Information Systems, having authored 103 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (46 papers), Adversarial Robustness in Machine Learning (18 papers) and Network Security and Intrusion Detection (17 papers). The work is most often cited by research in Signal Processing (312 citations), Software (96 citations) and Information Systems (470 citations). Guangdong Bai has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Jin Song Dong, Yun Lin, Pardeep Kumar, Andrew Paverd, Andrew Martin, Yanjun Zhang, Naipeng Dong, Jun Sun, Kailong Wang and Yao Guo. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Communications Surveys & Tutorials.
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.