Ming Ha Lee

About

Ming Ha Lee is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Ming Ha Lee has authored 76 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics, Probability and Uncertainty, 25 papers in Statistics and Probability and 17 papers in Management Science and Operations Research. Recurrent topics in Ming Ha Lee’s work include Advanced Statistical Process Monitoring (69 papers), Scientific Measurement and Uncertainty Evaluation (49 papers) and Advanced Statistical Methods and Models (25 papers). Ming Ha Lee is often cited by papers focused on Advanced Statistical Process Monitoring (69 papers), Scientific Measurement and Uncertainty Evaluation (49 papers) and Advanced Statistical Methods and Models (25 papers). Ming Ha Lee collaborates with scholars based in Malaysia, Pakistan and France. Ming Ha Lee's co-authors include Michael B. C. Khoo, Philippe Castagliola, Wai Chung Yeong, Wei Lin Teoh, XinYing Chew, Abdul Haq, M. A. Rahim, Sin Yin Teh, Mahfuza Khatun and Patrick Then and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ming Ha Lee i

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Fields of papers citing papers by Ming Ha Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ha Lee. 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 Ming Ha Lee. The network helps show where Ming Ha Lee may publish in the future.

Countries citing papers authored by Ming Ha Lee

Since Specialization

Citations

This map shows the geographic impact of Ming Ha Lee'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 Ming Ha Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ha Lee 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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