Ming Ha Lee

1.1k total citations
79 papers, 849 citations indexed

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 79 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistics, Probability and Uncertainty, 26 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 (71 papers), Scientific Measurement and Uncertainty Evaluation (49 papers) and Advanced Statistical Methods and Models (26 papers). Ming Ha Lee is often cited by papers focused on Advanced Statistical Process Monitoring (71 papers), Scientific Measurement and Uncertainty Evaluation (49 papers) and Advanced Statistical Methods and Models (26 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, XinYing Chew, Wei Lin Teoh, Abdul Haq, M. A. Rahim, Khai Wah Khaw, Sin Yin Teh and Mahfuza Khatun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Ming Ha Lee

77 papers receiving 843 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Ha Lee Malaysia 17 801 335 215 183 102 79 849
Wei Lin Teoh Malaysia 15 684 0.9× 267 0.8× 174 0.8× 178 1.0× 79 0.8× 71 726
Eugenio K. Epprecht Brazil 16 805 1.0× 420 1.3× 154 0.7× 155 0.8× 98 1.0× 48 877
Francisco Aparisi Spain 15 771 1.0× 443 1.3× 235 1.1× 67 0.4× 112 1.1× 40 814
Sharad S. Prabhu United States 9 975 1.2× 506 1.5× 246 1.1× 115 0.6× 128 1.3× 12 1.0k
Hafiz Zafar Nazir Pakistan 21 977 1.2× 740 2.2× 245 1.1× 63 0.3× 87 0.9× 80 1.1k
Shabbir Ahmad Pakistan 19 776 1.0× 540 1.6× 255 1.2× 67 0.4× 49 0.5× 38 888
L. Allison Jones United States 8 636 0.8× 325 1.0× 124 0.6× 95 0.5× 91 0.9× 10 668
Lora Zimmer United States 10 522 0.7× 231 0.7× 103 0.5× 193 1.1× 35 0.3× 14 618
Zhi Lin Chong Malaysia 14 455 0.6× 198 0.6× 149 0.7× 113 0.6× 25 0.2× 67 495
Nesma A. Saleh Egypt 10 497 0.6× 247 0.7× 87 0.4× 84 0.5× 66 0.6× 20 527

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ha Lee. A scholar is included among the top collaborators of Ming Ha Lee 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 Ming Ha Lee. Ming Ha Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Teoh, Wei Lin, et al.. (2024). A Robust Design for the Omnibus SPRT Control Chart Under Skewed Data Distributions. Sains Malaysiana. 53(6). 1441–1461. 1 indexed citations
2.
3.
Khoo, Michael B. C., et al.. (2023). Robust Shewhart-CUSUM design for monitoring process mean using repetitive sampling. Computers & Industrial Engineering. 180. 109246–109246. 5 indexed citations
4.
5.
Chew, XinYing, et al.. (2023). A Cost-Based Dual ConvNet-Attention Transfer Learning Model for ECG Heartbeat Classification. SHILAP Revista de lepidopterología. 2(2). 90–110. 4 indexed citations
6.
Ngu, Lock Hei, et al.. (2022). Engineering graduate attribute attainment measurement models. Australasian journal of engineering education. 27(2). 77–87. 2 indexed citations
7.
Lee, Ming Ha, Michael B. C. Khoo, Abdul Haq, M. L. Dennis Wong, & XinYing Chew. (2022). Synthetic c charts with known and estimated process parameters based on median run length and expected median run length. Quality Technology & Quantitative Management. 20(2). 168–183. 3 indexed citations
8.
Khoo, Michael B. C., et al.. (2020). Variable sampling interval EWMA chart for multivariate coefficient of variation. Communication in Statistics- Theory and Methods. 51(14). 4617–4637. 12 indexed citations
9.
Lee, Ming Ha, Michael B. C. Khoo, XinYing Chew, & Patrick Then. (2020). Economic-statistical design of synthetic np chart with estimated process parameter. PLoS ONE. 15(4). e0230994–e0230994. 10 indexed citations
10.
Lee, Ming Ha. (2019). Comparative Study of Adaptive Multivariate EWMA Control Charts. International journal of industrial engineering. 26(4). 2 indexed citations
11.
Lee, Ming Ha & Michael B. C. Khoo. (2018). The economic and economic statistical designs of synthetic double sampling X‾ chart. Communications in Statistics - Simulation and Computation. 48(8). 2313–2332. 10 indexed citations
12.
Khatun, Mahfuza, et al.. (2018). One-sided control charts for monitoring the multivariate coefficient of variation in short production runs. Transactions of the Institute of Measurement and Control. 41(6). 1712–1728. 36 indexed citations
13.
Lee, Ming Ha & Michael B. C. Khoo. (2016). Economic-statistical design of synthetic max chart. Quality Technology & Quantitative Management. 15(3). 301–327. 11 indexed citations
14.
Lee, Ming Ha & Michael B. C. Khoo. (2016). Optimal designs of multivariate synthetic |S| control chart based on median run length. Communication in Statistics- Theory and Methods. 46(6). 3034–3053. 17 indexed citations
15.
Lee, Ming Ha & Michael B. C. Khoo. (2016). Combined synthetic and |S| chart for monitoring process dispersion. Communications in Statistics - Simulation and Computation. 46(7). 5698–5711. 11 indexed citations
16.
Khoo, Michael B. C., et al.. (2015). A Variable Sampling Interval Synthetic Xbar Chart for the Process Mean. PLoS ONE. 10(5). e0126331–e0126331. 17 indexed citations
17.
Lee, Ming Ha. (2013). VARIABLE SAMPLE SIZE AND SAMPLING INTERVALS WITH FIXED TIMES HOTELLING’S T^2 CHART. International journal of industrial engineering. 20. 1 indexed citations
18.
Khoo, Michael B. C., et al.. (2013). Synthetic-Type Control Charts for Time-Between-Events Monitoring. PLoS ONE. 8(6). e65440–e65440. 35 indexed citations
19.
Lee, Ming Ha. (2011). VARIABLE SAMPLING RATE HOTELLING�S T2 CONTROL CHART WITH RUNS RULES. The South African Journal of Industrial Engineering. 23(1). 2 indexed citations
20.
Lee, Ming Ha. (2010). Multivariate EWMA Control Chart with Adaptive Sample Sizes. Communications in Statistics - Simulation and Computation. 39(8). 1548–1561. 13 indexed citations

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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