Ken Hung

657 total citations
43 papers, 480 citations indexed

About

Ken Hung is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Ken Hung has authored 43 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 15 papers in Finance and 12 papers in General Economics, Econometrics and Finance. Recurrent topics in Ken Hung's work include Market Dynamics and Volatility (10 papers), Monetary Policy and Economic Impact (9 papers) and Corporate Finance and Governance (8 papers). Ken Hung is often cited by papers focused on Market Dynamics and Volatility (10 papers), Monetary Policy and Economic Impact (9 papers) and Corporate Finance and Governance (8 papers). Ken Hung collaborates with scholars based in United States, Taiwan and China. Ken Hung's co-authors include Hui Cheng, Tsangyao Chang, Chaoshin Chiao, Da Huo, Kuo‐Hao Lee, Chien‐Chiang Lee, Cheng F. Lee, Mohsen Bahmani‐Óskooee, Zan Zhang and S.C. Srivastava and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of the American Medical Informatics Association and International Journal of Forecasting.

In The Last Decade

Ken Hung

41 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Hung United States 11 219 179 132 98 85 43 480
Serafeim Tsoukas United Kingdom 14 335 1.5× 250 1.4× 92 0.7× 197 2.0× 89 1.0× 34 541
Agyapomaa Gyeke‐Dako Ghana 11 266 1.2× 274 1.5× 105 0.8× 113 1.2× 34 0.4× 23 510
Esther B. Del Brío Spain 15 281 1.3× 278 1.6× 84 0.6× 223 2.3× 45 0.5× 28 577
Danson Kimani United Kingdom 11 168 0.8× 156 0.9× 156 1.2× 59 0.6× 47 0.6× 20 473
F. O. Olokoyo Nigeria 12 411 1.9× 314 1.8× 208 1.6× 129 1.3× 72 0.8× 51 747
P. K. Jain India 14 307 1.4× 140 0.8× 226 1.7× 119 1.2× 40 0.5× 51 494
Jon Tucker United Kingdom 13 306 1.4× 155 0.9× 248 1.9× 153 1.6× 37 0.4× 44 539
Jean‐Pierre Gueyié Canada 11 417 1.9× 261 1.5× 115 0.9× 251 2.6× 33 0.4× 42 680
Najeb Masoud Jordan 11 176 0.8× 172 1.0× 108 0.8× 73 0.7× 43 0.5× 35 456
Bishnu Kumar Adhikary Japan 10 197 0.9× 282 1.6× 229 1.7× 84 0.9× 188 2.2× 23 562

Countries citing papers authored by Ken Hung

Since Specialization
Citations

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

Fields of papers citing papers by Ken Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Hung. A scholar is included among the top collaborators of Ken Hung 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 Ken Hung. Ken Hung 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.
Huo, Da, et al.. (2023). FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence. International Journal of Environmental Research and Public Health. 20(6). 5164–5164. 2 indexed citations
3.
Huo, Da, et al.. (2019). Complex Network of Aviation E-Services in the Belt and Road Initiative: A Heuristic Study of Small Data based on Block Modeling. Emerging Markets Finance and Trade. 55(14). 3151–3165. 3 indexed citations
4.
Huo, Da, et al.. (2019). Quality Management of E-business: A Key Node Analysis of Ecological Network in Digital Economy by Using Artificial Intelligence. Romanian Journal of Economic Forecasting. 166–179. 7 indexed citations
5.
Xie, Hong, Tsangyao Chang, Adriana Grigorescu, & Ken Hung. (2018). REVISIT HYSTERESIS UNEMPLOYMENT IN EASTERN EUROPEAN COUNTRIES USING QUANTILE REGRESSION. Ekonomický časopis (Journal of Economics). 66(5). 9 indexed citations
6.
Huo, Da, et al.. (2017). Country of origin and online promotion in cross-border e-business: A study of consumer behavior for quality management. The International Trade Journal. 32(1). 140–149. 2 indexed citations
7.
Hung, Ken, et al.. (2017). The assessment of the United States quantitative easing policy: Evidence from global stock markets. International Journal of Finance & Economics. 22(4). 319–340. 8 indexed citations
8.
Huo, Da & Ken Hung. (2015). Internationalization Strategy and Firm Performance: Estimation of Corporate Strategy Effect Based on Big Data of Chinese IT Companies in a Complex Network. Romanian Journal of Economic Forecasting. 148–163. 8 indexed citations
9.
Hung, Ken, et al.. (2013). Does Market Timing Affect Capital Structure?: Evidence for Chinese Firms. Chinese Business Review. 12(6). 5 indexed citations
10.
Hung, Ken, et al.. (2013). Factors that Affect Credit Rating: An Application of Ordered Probit Models. Romanian Journal of Economic Forecasting. 94–108. 17 indexed citations
11.
Zai, Adrian, Seokjin Kim, Arnold Kamis, et al.. (2013). Applying operations research to optimize a novel population management system for cancer screening. Journal of the American Medical Informatics Association. 21(e1). e129–e135. 15 indexed citations
12.
Chang, Tsangyao, Chien‐Chiang Lee, Ken Hung, & Kuo‐Hao Lee. (2013). Does Military Spending Really Matter for Economic Growth in China and G7 Countries: The Roles of Dependency and Heterogeneity. Defence and Peace Economics. 25(2). 177–191. 35 indexed citations
13.
Yang, Chin W., et al.. (2011). Nonlinear Integer Programming Transportation Models: An Alternative Solution. Advances in management and applied economics. 1(3). 1–2. 2 indexed citations
14.
Ryu, Sungmin & Ken Hung. (2011). E-Commerce Transaction Mechanisms And Buyer-Supplier Relationship. Journal of Business & Economics Research (JBER). 7(2). 2 indexed citations
15.
Hung, Ken, et al.. (2006). Rating, Credit Spread, and Pricing Risky Debt: Empirical Study on Taiwan's Security Market. Annals of economics and finance. 7(2). 405–424. 1 indexed citations
16.
Chiao, Chaoshin, et al.. (2001). Market Liberalization and Exchange-Rate Exposure: The Case of Taiwanese Exporting Firms. Economia Internazionale / International Economics. 54(2). 137–161. 3 indexed citations
17.
Chiao, Chaoshin & Ken Hung. (2000). Exchange-Rate Exposure of Taiwanese Exporting Firms. Review of Pacific Basin Financial Markets and Policies. 3(2). 201–233. 18 indexed citations
18.
Hung, Ken, et al.. (1999). Toward Asian Pacific Financial Centers: A Comparative Study of Financial Developments in Taiwan, Hong Kong and Singapore. Review of Pacific Basin Financial Markets and Policies. 2(1). 29–55. 3 indexed citations
19.
Hung, Ken & Frank B. Alt. (1994). The approximation of the one-step ahead forecast error covariance for vector ARMA models. International Journal of Forecasting. 10(1). 59–64. 2 indexed citations
20.
Wun, Lap‐Ming & Ken Hung. (1988). A note on the distribution of mean square error of forecasting. Communication in Statistics- Theory and Methods. 17(6). 1929–1934. 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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