Hung‐pin Lai

422 total citations
29 papers, 264 citations indexed

About

Hung‐pin Lai is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Hung‐pin Lai has authored 29 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 19 papers in Economics and Econometrics and 7 papers in General Economics, Econometrics and Finance. Recurrent topics in Hung‐pin Lai's work include Efficiency Analysis Using DEA (19 papers), Economic Growth and Productivity (8 papers) and Spatial and Panel Data Analysis (6 papers). Hung‐pin Lai is often cited by papers focused on Efficiency Analysis Using DEA (19 papers), Economic Growth and Productivity (8 papers) and Spatial and Panel Data Analysis (6 papers). Hung‐pin Lai collaborates with scholars based in Taiwan, United States and Norway. Hung‐pin Lai's co-authors include Subal C. Kumbhakar, Cliff J. Huang, Kien C. Tran, Kong-Pin Chen, Tsu‐Tan Fu, Hsiu‐Yun Lee, Wen‐Jen Tsay, Ching‐Wen Tang, Chang‐Ching Lin and Ya‐Ling Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Economics Letters.

In The Last Decade

Hung‐pin Lai

27 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung‐pin Lai Taiwan 9 179 157 44 41 22 29 264
Emir Malikov United States 11 74 0.4× 241 1.5× 46 1.0× 23 0.6× 41 1.9× 37 345
Yves Aragon France 5 141 0.8× 144 0.9× 43 1.0× 13 0.3× 23 1.0× 14 253
William Schworm Canada 12 111 0.6× 197 1.3× 80 1.8× 22 0.5× 31 1.4× 18 280
Jorge Galán Spain 10 92 0.5× 178 1.1× 66 1.5× 9 0.2× 163 7.4× 24 318
Guohua Feng United States 9 170 0.9× 289 1.8× 83 1.9× 17 0.4× 190 8.6× 23 427
Mustafa Dinc United States 10 106 0.6× 241 1.5× 24 0.5× 16 0.4× 59 2.7× 16 328
Andrea Bastianin Italy 10 30 0.2× 374 2.4× 99 2.3× 13 0.3× 37 1.7× 46 461
Moataz El-Said United States 5 23 0.1× 176 1.1× 63 1.4× 26 0.6× 5 0.2× 7 311
Christophe Tavéra France 10 31 0.2× 302 1.9× 85 1.9× 18 0.4× 18 0.8× 21 351
Ibrahim Jamali Lebanon 12 42 0.2× 209 1.3× 92 2.1× 3 0.1× 100 4.5× 24 326

Countries citing papers authored by Hung‐pin Lai

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐pin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐pin Lai. 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 Hung‐pin Lai. The network helps show where Hung‐pin Lai may publish in the future.

Co-authorship network of co-authors of Hung‐pin Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐pin Lai. A scholar is included among the top collaborators of Hung‐pin Lai 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 Hung‐pin Lai. Hung‐pin Lai 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.
Lai, Hung‐pin & Subal C. Kumbhakar. (2023). Indirect inference estimation of stochastic production frontier models with skew-normal noise. Empirical Economics. 64(6). 2771–2793. 1 indexed citations
2.
Lai, Hung‐pin & Kien C. Tran. (2022). Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model. Journal of Productivity Analysis. 58(1). 1–13. 8 indexed citations
3.
Kumbhakar, Subal C. & Hung‐pin Lai. (2022). Recent Advances in the Panel Stochastic Frontier Models: Heterogeneity, Endogeneity and Dependence. SHILAP Revista de lepidopterología. 1(1). 13 indexed citations
4.
Kumbhakar, Subal C. & Hung‐pin Lai. (2021). A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency. Economics Letters. 201. 109807–109807. 3 indexed citations
5.
Lai, Hung‐pin & Subal C. Kumbhakar. (2020). A panel frontier system model with good and bad outputs and endogenous treatment decision. Economics Letters. 198. 109649–109649. 2 indexed citations
6.
Lai, Hung‐pin & Subal C. Kumbhakar. (2019). Technical and allocative efficiency in a panel stochastic production frontier system model. European Journal of Operational Research. 278(1). 255–265. 26 indexed citations
7.
Lai, Hung‐pin & Subal C. Kumbhakar. (2019). Estimation of a dynamic stochastic frontier model using likelihood‐based approaches. Journal of Applied Econometrics. 35(2). 217–247. 13 indexed citations
8.
Lai, Hung‐pin & Subal C. Kumbhakar. (2018). Panel data stochastic frontier model with determinants of persistent and transient inefficiency. European Journal of Operational Research. 271(2). 746–755. 48 indexed citations
9.
Huang, Cliff J. & Hung‐pin Lai. (2017). A note on the likelihood ratio test on the equality of group frontiers. Economics Letters. 155. 5–8. 4 indexed citations
10.
Lai, Hung‐pin, et al.. (2017). Hospital efficiency under global budgeting: evidence from Taiwan. Empirical Economics. 55(3). 937–963. 4 indexed citations
11.
Lai, Hung‐pin & Wen‐Jen Tsay. (2016). Maximum simulated likelihood estimation of the panel sample selection model. Econometric Reviews. 37(7). 744–759. 4 indexed citations
12.
Huang, Cliff J., et al.. (2016). Semiparametric smooth coefficient quantile estimation of the production profile. Empirical Economics. 52(1). 373–392. 4 indexed citations
13.
Kumbhakar, Subal C. & Hung‐pin Lai. (2015). Maximum likelihood estimation of the revenue function system with output-specific technical efficiency. Economics Letters. 138. 42–45. 3 indexed citations
14.
Lai, Hung‐pin. (2014). Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection. Journal of Productivity Analysis. 43(1). 105–117. 12 indexed citations
15.
Chen, Kong-Pin, Kuo‐Chang Huang, Ya‐Ling Huang, Hung‐pin Lai, & Chang‐Ching Lin. (2012). The Legal Problems of Everyday Life: The Nature, Extent, and Consequences of Justiciable Problems Experienced by Taiwanese. 1 indexed citations
16.
Lai, Hung‐pin. (2012). Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable. Journal of Productivity Analysis. 40(2). 227–237. 5 indexed citations
17.
Lee, Hsiu‐Yun & Hung‐pin Lai. (2011). A structural threshold model of the exchange rate under optimal intervention. Journal of International Money and Finance. 30(6). 931–946. 3 indexed citations
18.
Lai, Hung‐pin, Ching‐Ping Tang, Jiarui Wu, & Yi-Hsien Lin. (2010). Design of a microstripe bandpass filter with a wide stopband. 2010 IEEE MTT-S International Microwave Symposium. 1–1. 1 indexed citations
19.
Lai, Hung‐pin & Cliff J. Huang. (2009). Likelihood ratio tests for model selection of stochastic frontier models. Journal of Productivity Analysis. 34(1). 3–13. 24 indexed citations
20.
Lai, Hung‐pin. (2007). Maximum likelihood estimation of singular systems of equations. Economics Letters. 99(1). 51–54. 1 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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