Yee Ling Boo

34 total papers · 784 total citations
22 papers, 516 citations indexed

About

Yee Ling Boo is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Yee Ling Boo has authored 22 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Science Applications. Recurrent topics in Yee Ling Boo's work include Mobile Crowdsensing and Crowdsourcing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Imbalanced Data Classification Techniques (2 papers). Yee Ling Boo is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Imbalanced Data Classification Techniques (2 papers). Yee Ling Boo collaborates with scholars based in Australia, India and Malaysia. Yee Ling Boo's 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 and has published in prestigious journals such as IEEE Access, Decision Support Systems and Future Generation Computer Systems.

In The Last Decade

Yee Ling Boo

19 papers receiving 489 citations

Hit Papers

Fraud detection: A system... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yee Ling Boo 300 137 73 73 58 22 516
Hassan Najadat 306 1.0× 153 1.1× 41 0.6× 36 0.5× 79 1.4× 54 551
V. Tampakas 401 1.3× 166 1.2× 81 1.1× 114 1.6× 24 0.4× 16 593
Ye Tian 275 0.9× 52 0.4× 24 0.3× 155 2.1× 69 1.2× 35 524
Dženana Đonko 242 0.8× 180 1.3× 79 1.1× 32 0.4× 34 0.6× 50 530
Lina Ni 247 0.8× 109 0.8× 107 1.5× 16 0.2× 65 1.1× 42 513
Shayak Sen 406 1.4× 78 0.6× 24 0.3× 40 0.5× 35 0.6× 9 575
Muhammad Umer Sarwar 197 0.7× 85 0.6× 90 1.2× 50 0.7× 39 0.7× 20 447
Enric Junqué de Fortuny 179 0.6× 110 0.8× 26 0.4× 41 0.6× 19 0.3× 15 525
Roger Stein 219 0.7× 108 0.8× 29 0.4× 66 0.9× 17 0.3× 13 487
Yoon‐Joo Park 262 0.9× 310 2.3× 40 0.5× 18 0.2× 69 1.2× 22 551

Countries citing papers authored by Yee Ling Boo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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