Yap Bee Wah

118 total papers · 3.5k total citations
82 papers, 2.1k citations indexed

About

Yap Bee Wah is a scholar working on Artificial Intelligence, Accounting and Statistics and Probability. According to data from OpenAlex, Yap Bee Wah has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Accounting and 12 papers in Statistics and Probability. Recurrent topics in Yap Bee Wah's work include Imbalanced Data Classification Techniques (16 papers), Advanced Statistical Methods and Models (8 papers) and Machine Learning and Data Classification (6 papers). Yap Bee Wah is often cited by papers focused on Imbalanced Data Classification Techniques (16 papers), Advanced Statistical Methods and Models (8 papers) and Machine Learning and Data Classification (6 papers). Yap Bee Wah collaborates with scholars based in Malaysia, United States and Macao. Yap Bee Wah's co-authors include C. H. Sim, Azlinah Mohamed, Michael W. Berry, S. H. Ong, T. Ramayah, Maryam Khanian Najafabadi, Ruhaila Maskat, Wan Fairos Wan Yaacob, Ruhaya Atan and Mohamed Azmi Hassali and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Quality of Life Research.

In The Last Decade

Yap Bee Wah

74 papers receiving 2.0k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Comparisons of various types of normality tests

2011 581 citations Yap Bee Wah, C. H. Sim Journal of Statistical Computation and Simulation profile →

Author Peers

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

Author						Papers	Cites
Yap Bee Wah	376	271	246	183	179	82	2.1k
Tung Manh Ho	287 0.8×	420 1.5×	82 0.3×	124 0.7×	74 0.4×	111	2.2k
Steven Walczak	461 1.2×	357 1.3×	65 0.3×	228 1.2×	241 1.3×	106	2.2k
J Courtial	352 0.9×	320 1.2×	78 0.3×	381 2.1×	172 1.0×	37	2.4k
Arkalgud Ramaprasad	211 0.6×	218 0.8×	70 0.3×	133 0.7×	161 0.9×	125	2.2k
Davide Calandra	189 0.5×	242 0.9×	154 0.6×	224 1.2×	284 1.6×	45	2.0k
Asil Oztekin	359 1.0×	153 0.6×	66 0.3×	194 1.1×	136 0.8×	64	2.2k
Ankur Joshi	153 0.4×	320 1.2×	48 0.2×	226 1.2×	181 1.0×	86	2.2k
Ed Noyons	286 0.8×	227 0.8×	73 0.3×	384 2.1×	77 0.4×	60	2.2k
Fotis Kitsios	176 0.5×	329 1.2×	80 0.3×	235 1.3×	247 1.4×	97	2.3k
Terry Sincich	159 0.4×	230 0.8×	100 0.4×	86 0.5×	70 0.4×	36	2.3k

Countries citing papers authored by Yap Bee Wah

Since Specialization

Citations

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

Fields of papers citing papers by Yap Bee Wah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yap Bee Wah. 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 Yap Bee Wah. The network helps show where Yap Bee Wah may publish in the future.

Co-authorship network of co-authors of Yap Bee Wah

This figure shows the co-authorship network connecting the top 25 collaborators of Yap Bee Wah. A scholar is included among the top collaborators of Yap Bee Wah 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 Yap Bee Wah. Yap Bee Wah 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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