Yap Bee Wah

58 papers and 1.4k indexed citations i.

About

Yap Bee Wah is a scholar working on Artificial Intelligence, Statistics and Probability and Accounting. According to data from OpenAlex, Yap Bee Wah has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 7 papers in Accounting. Recurrent topics in Yap Bee Wah’s work include Imbalanced Data Classification Techniques (11 papers), Advanced Statistical Methods and Models (7 papers) and Financial Distress and Bankruptcy Prediction (4 papers). Yap Bee Wah is often cited by papers focused on Imbalanced Data Classification Techniques (11 papers), Advanced Statistical Methods and Models (7 papers) and Financial Distress and Bankruptcy Prediction (4 papers). Yap Bee Wah collaborates with scholars based in Malaysia, United States and Indonesia. Yap Bee Wah's co-authors include C. H. Sim, S. H. Ong, T. Ramayah, Azlinah Mohamed, Maryam Khanian Najafabadi, Kok Wei Khong, Mohamed Azmi Hassali, Ruhaya Atan, Simon Fong and Shuzlina Abdul-Rahman and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Quality of Life Research.

In The Last Decade

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

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.

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).

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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