Yee Ling Boo
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Accounting top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Kok‐Leong OngBooi KamWilliam YeohAlireza MoayedikiaRichard JensenMong Shan EeBob T. LiMamunur Rashid
- Topics
- Mobile Crowdsensing and Crowdsourcing (4 papers)Anomaly Detection Techniques and Applications (3 papers)Expert finding and Q&A systems (2 papers)
In The Last Decade
Yee Ling Boo
19 papers receiving 495 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 306
- Information Systems 136
- Computer Networks and Communications 73
- Accounting 73
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Yee Ling Boo
This map shows the geographic impact of Yee Ling Boo'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 Yee Ling Boo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee Ling Boo more than expected).
Fields of papers citing papers by Yee Ling Boo
This network shows the impact of papers produced by Yee Ling Boo. 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 Yee Ling Boo. The network helps show where Yee Ling Boo may publish in the future.
Co-authorship network of co-authors of Yee Ling Boo
This figure shows the co-authorship network connecting the top 25 collaborators of Yee Ling Boo. A scholar is included among the top collaborators of Yee Ling Boo 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 Yee Ling Boo. Yee Ling Boo 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | Fraud detection: A systematic literature review of graph-based anomaly detection approachesbreakdown → | 244 |
| 10 | 21 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 120 | |
| 16 | 6 | |
| 17 | 54 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 3 |
About Yee Ling Boo
Yee Ling Boo is a scholar working on Computer Science Applications, Music and Information Systems, having authored 22 papers that have together received 522 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Computer Science Applications (54 citations), Artificial Intelligence (306 citations) and Accounting (73 citations). Yee Ling Boo has collaborated with scholars based in Australia, Malaysia and India. Frequent co-authors include Kok‐Leong Ong, Booi Kam, William Yeoh, Alireza Moayedikia, Richard Jensen, Mong Shan Ee, Bob T. Li, Mamunur Rashid, Damminda Alahakoon and Cindy Chen. Their work appears in journals such as IEEE Access, Decision Support Systems and Future Generation Computer 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.