Yuan‐Teng Hsu

774 total citations
55 papers, 499 citations indexed

About

Yuan‐Teng Hsu is a scholar working on Economics and Econometrics, Finance and Accounting. According to data from OpenAlex, Yuan‐Teng Hsu has authored 55 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 18 papers in Finance and 17 papers in Accounting. Recurrent topics in Yuan‐Teng Hsu's work include Corporate Finance and Governance (15 papers), Market Dynamics and Volatility (15 papers) and Financial Markets and Investment Strategies (11 papers). Yuan‐Teng Hsu is often cited by papers focused on Corporate Finance and Governance (15 papers), Market Dynamics and Volatility (15 papers) and Financial Markets and Investment Strategies (11 papers). Yuan‐Teng Hsu collaborates with scholars based in China, Taiwan and United States. Yuan‐Teng Hsu's co-authors include Jying‐Nan Wang, Ya-Ling Chiu, Hung‐Chun Liu, Haiyan Yu, Chia‐Wei Huang, Ku‐Hsieh Chen, Yen‐Hsien Lee, Chih‐Yung Lin, Kees Koedijk and Kin Keung Lai and has published in prestigious journals such as Journal of Business Ethics, Energy Economics and Frontiers in Psychology.

In The Last Decade

Yuan‐Teng Hsu

48 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan‐Teng Hsu China	13	165	125	99	84	81	55	499
Dharmendra Singh Oman	12	172 1.0×	89 0.7×	52 0.5×	156 1.9×	137 1.7×	32	557
Moniruzzaman Sarker Malaysia	9	119 0.7×	143 1.1×	28 0.3×	133 1.6×	90 1.1×	19	452
Bo Cowgill United States	10	228 1.4×	232 1.9×	55 0.6×	62 0.7×	141 1.7×	47	630
Jying‐Nan Wang China	14	177 1.1×	143 1.1×	117 1.2×	18 0.2×	79 1.0×	46	477
Noor Azman Ali Malaysia	12	69 0.4×	93 0.7×	51 0.5×	89 1.1×	126 1.6×	44	482
Simarjeet Singh India	12	97 0.6×	49 0.4×	107 1.1×	119 1.4×	46 0.6×	38	404
Sonali Bhattacharya India	13	60 0.4×	78 0.6×	32 0.3×	58 0.7×	77 1.0×	73	534
Hani El-Chaarani Lebanon	14	246 1.5×	66 0.5×	161 1.6×	322 3.8×	57 0.7×	69	740
Ankur Sarin India	10	158 1.0×	110 0.9×	102 1.0×	355 4.2×	93 1.1×	33	865
Marco Maffei Italy	12	63 0.4×	46 0.4×	39 0.4×	144 1.7×	38 0.5×	40	377

Countries citing papers authored by Yuan‐Teng Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Yuan‐Teng Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Teng Hsu. 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 Yuan‐Teng Hsu. The network helps show where Yuan‐Teng Hsu may publish in the future.

Co-authorship network of co-authors of Yuan‐Teng Hsu

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

All Works

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20 of 20 papers shown

Wang, Jying‐Nan, Hung‐Chun Liu, & Yuan‐Teng Hsu. (2025). Do AI incidents and hazards matter for AI-themed cryptocurrency returns?. Finance research letters. 74. 106777–106777.

Wu, Yan-Kuen, Ching‐Feng Wen, & Yuan‐Teng Hsu. (2025). Maximum-interval solutions of the given solution for system of addition-min fuzzy relational inequalities. Fuzzy Sets and Systems. 511. 109369–109369.

Zhi, Yu, Xiangqiang Liu, Yuan‐Teng Hsu, & Xuewu Wang. (2025). Gender and ESG Rating Divergence: Evidence from Chinese Board Secretaries. Journal of Business Ethics. 3 indexed citations

Hsu, Yuan‐Teng, et al.. (2025). How do executives respond to biodiversity risk? Evidence from opportunistic stock selling. Pacific-Basin Finance Journal. 91. 102757–102757. 2 indexed citations

Hsu, Yuan‐Teng, et al.. (2025). The daughter effect and green innovation: Evidence from China. International Review of Financial Analysis. 100. 103968–103968. 1 indexed citations

Wang, Jying‐Nan, Samuel A. Vigne, Hung‐Chun Liu, & Yuan‐Teng Hsu. (2024). Divergent jump characteristics in brown and green cryptocurrencies: The role of energy-related uncertainty. Energy Economics. 138. 107847–107847. 5 indexed citations

Tang, Ning, Xiaodong Xu, Yuan‐Teng Hsu, & Chih‐Yung Lin. (2024). The impact of ESG distance on mergers and acquisitions. International Review of Financial Analysis. 96. 103677–103677. 5 indexed citations

Chen, Chih‐Chun, et al.. (2024). Bans on eating and drinking: What do investors think?. International Review of Economics & Finance. 96. 103633–103633.

Hsu, Yuan‐Teng, et al.. (2024). The ESG washing in banks: Evidence from the syndicated loan market. Journal of International Money and Finance. 142. 103043–103043. 25 indexed citations

10.

Liu, Hung‐Chun, et al.. (2024). ESG risk, economic policy uncertainty, and the downside risk: Evidence from US firms. The North American Journal of Economics and Finance. 75. 102293–102293. 11 indexed citations

11.

Wang, Jying‐Nan, Hung‐Chun Liu, & Yuan‐Teng Hsu. (2023). A U-shaped relationship between the crypto fear-greed index and the price synchronicity of cryptocurrencies. Finance research letters. 59. 104763–104763. 10 indexed citations

12.

Wang, Jying‐Nan, Yen‐Hsien Lee, Hung‐Chun Liu, & Yuan‐Teng Hsu. (2023). Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks. The North American Journal of Economics and Finance. 65. 101892–101892. 17 indexed citations

13.

Wang, Jying‐Nan, Hung‐Chun Liu, Yen‐Hsien Lee, & Yuan‐Teng Hsu. (2023). FoMO in the Bitcoin market: Revisiting and factors. The Quarterly Review of Economics and Finance. 89. 244–253. 15 indexed citations

14.

Hsu, Yuan‐Teng, Chia‐Wei Huang, & Kees Koedijk. (2022). Unintended consequences of compensation peer groups on corporate innovation. Journal of Corporate Finance. 78. 102321–102321. 25 indexed citations

15.

Hsu, Yuan‐Teng, Kees Koedijk, Hung‐Chun Liu, & Jying‐Nan Wang. (2021). Further evidence on calendar anomalies. European Financial Management. 28(2). 545–566. 2 indexed citations

16.

Chiu, Ya-Ling, Jying‐Nan Wang, Haiyan Yu, & Yuan‐Teng Hsu. (2021). Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach. Journal of Medical Internet Research. 23(7). e29170–e29170. 22 indexed citations

17.

Koedijk, Kees, et al.. (2020). How do job vacancy rates predict firm performance? A web crawling massive data perspective. Pacific-Basin Finance Journal. 62. 101371–101371. 1 indexed citations

18.

Wang, Jying‐Nan, et al.. (2019). On the predictive power of ARJI volatility forecasts for Bitcoin. Applied Economics. 51(44). 4849–4855. 20 indexed citations

19.

Wang, Jying‐Nan, Yuan‐Teng Hsu, & Hung‐Chun Liu. (2014). How useful are the Various Volatility Estimators for Improving GARCH-based Volatility Forecasts? Evidence from the Nasdaq-100 Stock Index. International Journal of Economics and Financial Issues. 4(3). 651–656. 3 indexed citations

20.

Hsu, Yuan‐Teng, et al.. (2011). Insiders' subscription and the earnings management behavior of private equity offerings. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 5(11). 4531–4541. 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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