Cliff J. Huang

2.2k total citations
50 papers, 1.5k citations indexed

About

Cliff J. Huang is a scholar working on Economics and Econometrics, Management Science and Operations Research and General Economics, Econometrics and Finance. According to data from OpenAlex, Cliff J. Huang has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 19 papers in Management Science and Operations Research and 7 papers in General Economics, Econometrics and Finance. Recurrent topics in Cliff J. Huang's work include Efficiency Analysis Using DEA (18 papers), Fiscal Policy and Economic Growth (6 papers) and Economic and Environmental Valuation (5 papers). Cliff J. Huang is often cited by papers focused on Efficiency Analysis Using DEA (18 papers), Fiscal Policy and Economic Growth (6 papers) and Economic and Environmental Valuation (5 papers). Cliff J. Huang collaborates with scholars based in United States, Taiwan and United Kingdom. Cliff J. Huang's co-authors include Tai‐Hsin Huang, Ben W. Bolch, Dong Li, Qi Li, Pablo T. Spiller, Phoebus J. Dhrymes, John J. Siegfried, Hung‐pin Lai, Daigee Shaw and Tsu‐Tan Fu and has published in prestigious journals such as Journal of the American Statistical Association, The Review of Economics and Statistics and Technological Forecasting and Social Change.

In The Last Decade

Cliff J. Huang

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliff J. Huang United States 19 885 465 280 197 196 50 1.5k
David A. Kodde Netherlands 9 779 0.9× 577 1.2× 192 0.7× 142 0.7× 292 1.5× 16 1.4k
William C. Horrace United States 21 993 1.1× 441 0.9× 258 0.9× 188 1.0× 71 0.4× 63 1.8k
R. Carter Hill United States 21 1.0k 1.2× 191 0.4× 287 1.0× 242 1.2× 100 0.5× 76 2.2k
Giora Hanoch Israel 15 1.2k 1.4× 630 1.4× 320 1.1× 616 3.1× 105 0.5× 18 2.0k
Daniel Primont United States 16 1.4k 1.6× 982 2.1× 367 1.3× 173 0.9× 179 0.9× 37 1.9k
Ron C. Mittelhammer United States 18 943 1.1× 126 0.3× 168 0.6× 110 0.6× 167 0.9× 96 1.9k
Josef Hadar United States 11 929 1.0× 634 1.4× 186 0.7× 556 2.8× 57 0.3× 33 1.7k
Hung‐Jen Wang Taiwan 16 1.0k 1.2× 751 1.6× 273 1.0× 208 1.1× 242 1.2× 45 1.7k
Adonis Yatchew Canada 19 831 0.9× 175 0.4× 187 0.7× 186 0.9× 50 0.3× 36 1.7k
Rodney Stevenson United States 12 1.1k 1.2× 955 2.1× 362 1.3× 159 0.8× 288 1.5× 28 1.9k

Countries citing papers authored by Cliff J. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Cliff J. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliff J. Huang. 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 Cliff J. Huang. The network helps show where Cliff J. Huang may publish in the future.

Co-authorship network of co-authors of Cliff J. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff J. Huang. A scholar is included among the top collaborators of Cliff J. Huang 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 Cliff J. Huang. Cliff J. Huang 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.
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
2.
Huang, Cliff J., et al.. (2016). Semiparametric smooth coefficient quantile estimation of the production profile. Empirical Economics. 52(1). 373–392. 4 indexed citations
3.
Huang, Cliff J., et al.. (2014). A new approach to estimating the metafrontier production function based on a stochastic frontier framework. Journal of Productivity Analysis. 42(3). 241–254. 203 indexed citations
4.
Tsay, Wen‐Jen, et al.. (2012). A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models. Journal of Productivity Analysis. 39(3). 259–269. 24 indexed citations
5.
Lai, Hung‐pin & Cliff J. Huang. (2012). Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions. Journal of Productivity Analysis. 40(1). 1–14. 29 indexed citations
6.
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
7.
Chou, Shin‐Yi, Jin‐Tan Liu, & Cliff J. Huang. (2004). Health insurance and savings over the life cycle—a semiparametric smooth coefficient estimation. Journal of Applied Econometrics. 19(3). 295–322. 28 indexed citations
8.
Huang, Cliff J., et al.. (2002). Cultivation Arrangements and the Cost Efficiency of Rice Farming in Taiwan. Journal of Productivity Analysis. 18(3). 223–239. 16 indexed citations
9.
Lee, Junsoo, Cliff J. Huang, & Yongcheol Shin. (1997). On stationary tests in the presence of structural breaks. Economics Letters. 55(2). 165–172. 69 indexed citations
10.
Huang, Cliff J., et al.. (1987). Estimation of Seemingly Unrelated Tobit Regressions via the EM Algorithm. Journal of Business and Economic Statistics. 5(3). 425–425. 9 indexed citations
11.
Spiller, Pablo T. & Cliff J. Huang. (1986). On the Extent of the Market: Wholesale Gasoline in the Northeastern United States. Journal of Industrial Economics. 35(2). 131–131. 92 indexed citations
12.
Huang, Cliff J.. (1984). Estimation of Stochastic Frontier Production Function and Technical Inefficiency via the EM Algorithm. Southern Economic Journal. 50(3). 847–847. 24 indexed citations
13.
Huang, Cliff J., et al.. (1983). Estimating Production Technical Efficiency for Individual Farms in Tennessee. Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie. 31(2). 249–256. 33 indexed citations
14.
Huang, Cliff J.. (1981). Optimal allocation of faculty time under uncertainty in production. Economics of Education Review. 1(1). 99–112. 5 indexed citations
15.
Huang, Cliff J., et al.. (1980). The demand for coffee in the United States, 1963-77.. 20(2). 36–50. 4 indexed citations
16.
Huang, Cliff J.. (1976). Bias in Routine Calculation of the Variance of OLS Estimators When the Disturbances are Autocorrelated. The American Statistician. 30(2). 70–72. 2 indexed citations
17.
Farebrother, R. W., Ben W. Bolch, & Cliff J. Huang. (1975). Multivariate Statistical Methods for Business and Economics.. Economica. 42(166). 226–226. 14 indexed citations
18.
Ray, W. D., Ben W. Bolch, & Cliff J. Huang. (1975). Multivariate Statistical Methods for Business and Economics.. Journal of the Royal Statistical Society Series A (General). 138(2). 260–260.
19.
Huang, Cliff J. & Ben W. Bolch. (1974). On the Testing of Regression Disturbances for Normality. Journal of the American Statistical Association. 69(346). 330–335. 45 indexed citations
20.
Huang, Cliff J.. (1973). Normality of Disturbance Terms and Specification of the Production Functional Forms. Southern Economic Journal. 40(1). 12–12. 2 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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