Wai Weng Lo

1.1k citations
9 papers · 565 indexed · 1 hit paper · h-index 8

Wai Weng Lo

9 papers receiving 550 citations

Hit Papers

E-GraphSAGE: A Graph Neural Network based Intrusion Detec...170202220262023202450100150

Peers

Wai Weng Lo
Comparison fields: 5 of 70
  • Signal Processing 197
  • Computer Networks and Communications 410
  • Artificial Intelligence 370
  • Information Systems 98
  • Statistical and Nonlinear Physics 26
Replace Mohanad Sarhan with:
Mohanad Sarhan Australia
Jeffrey S. Chavis United States
Futai Zou China
Vincent H. Berk United States
Mohammed A. Ambusaidi Australia
Cherita Corbett United States
Yun Cui South Korea
Ahmed Abusnaina United States
Zied Elouedi Tunisia
Alessandro Guido Italy
Wai Weng Lo relative to Mohanad Sarhan Australia Mohanad Sarhan's profile →
Citations per field
00.5×
Mohanad Sarhan · 1×
Citations per year

Countries citing papers authored by Wai Weng Lo

Since Specialization
Citations

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

Fields of papers citing papers by Wai Weng Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Weng Lo. 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 Wai Weng Lo. The network helps show where Wai Weng Lo may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Wai Weng Lo, 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 Wai Weng Lo Line = papers co-authored together Wai Weng Lo links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202342
2 202362
3 20237
4 202332
5 2022102
6 202265
7 202214
8
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoTbreakdown →
2022170
9 201971

About Wai Weng Lo

Wai Weng Lo is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 9 papers that have together received 565 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Graph Neural Networks (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Malware Detection Techniques (3 papers), Blockchain Technology Applications and Security (2 papers), Spam and Phishing Detection (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Signal Processing (197 citations), Computer Networks and Communications (410 citations), Artificial Intelligence (370 citations), Information Systems (98 citations) and Statistical and Nonlinear Physics (26 citations). Wai Weng Lo has collaborated with scholars based in Australia and Macao. Frequent co-authors include Marius Portmann, Siamak Layeghy, Mohanad Sarhan, Marcus Gallagher, Xu Yang and Yapeng Wang. Their work appears in journals such as Applied Intelligence, Expert Systems with Applications, Internet of Things, Computers & Electrical Engineering and Knowledge-Based Systems.

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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