Ming‐Chin Chen

549 total citations
21 papers, 337 citations indexed

About

Ming‐Chin Chen is a scholar working on Economics and Econometrics, Accounting and Strategy and Management. According to data from OpenAlex, Ming‐Chin Chen has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 11 papers in Accounting and 3 papers in Strategy and Management. Recurrent topics in Ming‐Chin Chen's work include Corporate Taxation and Avoidance (8 papers), Taxation and Compliance Studies (8 papers) and Corporate Finance and Governance (5 papers). Ming‐Chin Chen is often cited by papers focused on Corporate Taxation and Avoidance (8 papers), Taxation and Compliance Studies (8 papers) and Corporate Finance and Governance (5 papers). Ming‐Chin Chen collaborates with scholars based in Taiwan, United States and Hong Kong. Ming‐Chin Chen's co-authors include Yuhchang Hwang, Sanjay Gupta, Mei‐Juan Chen, Chia‐Hung Yeh, Yeong‐Hwa Chang, Shinfeng D. Lin, An Ran Ran, Carol Y. Cheung, Chia‐Chen Lin and Ying Gao and has published in prestigious journals such as Journal of Applied Physics, Journal of Crystal Growth and Journal of Intellectual Capital.

In The Last Decade

Ming‐Chin Chen

19 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming‐Chin Chen Taiwan	7	135	118	67	57	33	21	337
Xinwei Shi United States	10	62 0.5×	17 0.1×	18 0.3×	107 1.9×		24	289
Bong Hwan Kim South Korea	12	84 0.6×	155 1.3×	50 0.7×	3 0.1×		50	380
Taewon Kim South Korea	10	5 0.0×	206 1.7×	348 5.2×	15 0.3×	2 0.1×	32	555
Michi Nishihara Japan	17	166 1.2×	233 2.0×	187 2.8×	1 0.0×		68	622
Kam-Ming Wan Finland	7	76 0.6×	204 1.7×	43 0.6×	8 0.1×		23	262
Hyun‐Dong Kim South Korea	13	233 1.7×	290 2.5×	106 1.6×			37	580
Hermann Schier Germany	8	20 0.1×	13 0.1×	25 0.4×	11 0.2×	3 0.1×	15	509
Alexander Dyck Germany	10	26 0.2×	46 0.4×	29 0.4×	2 0.0×		20	407
Frank Cave United Kingdom	9	38 0.3×	57 0.5×	24 0.4×	7 0.1×		32	314
В. И. Иванов United States	10	71 0.5×	318 2.7×	113 1.7×	2 0.0×	2 0.1×	42	412

Countries citing papers authored by Ming‐Chin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Chin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chin Chen. 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‐Chin Chen. The network helps show where Ming‐Chin Chen may publish in the future.

Co-authorship network of co-authors of Ming‐Chin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chin Chen. A scholar is included among the top collaborators of Ming‐Chin Chen 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‐Chin Chen. Ming‐Chin Chen 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

Chen, Ming‐Chin, et al.. (2025). Are Taiwanese descendant family firms more aggressive in tax avoidance?. Asia-Pacific Journal of Accounting & Economics. 1–18.

Chen, Mei‐Juan, et al.. (2023). Deep Learning-Based Recognition of Periodontitis and Dental Caries in Dental X-ray Images. Bioengineering. 10(8). 911–911. 23 indexed citations

Chen, Ming‐Chin & Yeong‐Hwa Chang. (2020). The effect of the accounting expertise of chief financial officers on corporate credit ratings. Asia-Pacific Journal of Accounting & Economics. 29(2). 451–471. 1 indexed citations

Singh, Akhilesh Kr., et al.. (2020). Determination of spin-orbit scattering lifetime at the interface of LaAlO3/SrTiO3 from the superconducting upper critical fields. Physical Review Research. 2(1). 3 indexed citations

Chen, Ming‐Chin, et al.. (2019). The effect of chief financial officers’ accounting expertise on corporate tax avoidance: the role of compensation design. Review of Quantitative Finance and Accounting. 54(1). 273–296. 24 indexed citations

Lin, Gen‐Min, Mei‐Juan Chen, Chia‐Hung Yeh, et al.. (2018). Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy. Journal of Ophthalmology. 2018. 1–6. 63 indexed citations

Chen, Ming‐Chin, et al.. (2018). The effects and economic consequences of cutting R&D tax incentives. China Journal of Accounting Research. 11(4). 367–384. 7 indexed citations

Chen, Ming‐Chin & Sanjay Gupta. (2017). The incentive effects of R&D tax credits: An empirical examination in an emerging economy. Journal of Contemporary Accounting & Economics. 13(1). 52–68. 26 indexed citations

Chang, Yeong‐Hwa, et al.. (2016). Are Corporate Tax Reductions Real Benefits under Imputation Systems?. European Accounting Review. 26(2). 215–237. 2 indexed citations

10.

Chen, Ming‐Chin, et al.. (2015). Incentive vs. punitive conditional audit policy. Asia Pacific Management Review. 20(4). 234–240. 1 indexed citations

11.

Chen, Ming‐Chin. (2015). The effect of stock market pressure on the tradeoff between corporate and shareholders’ tax benefits. China Journal of Accounting Research. 8(2). 75–89. 2 indexed citations

12.

Chen, Ming‐Chin & Sanjay Gupta. (2011). An empirical investigation of the effect of imputation credits on remittance of overseas dividends. Journal of Contemporary Accounting & Economics. 7(1). 18–30. 3 indexed citations

13.

Chen, Ming‐Chin & Sanjay Gupta. (2010). The Incentive Effects of R&D Tax Credits: An Empirical Examination in an Emerging Economy. SSRN Electronic Journal. 4 indexed citations

14.

Chen, Ming‐Chin, et al.. (2010). The Effects of Macroeconomic Factors on Implicit Taxes: Evidence from an Emerging Economy. SSRN Electronic Journal.

15.

Chen, Ming‐Chin, et al.. (2010). The effects of macroeconomic factors on implicit taxes: Evidence from an emerging economy. Journal of International Accounting Auditing and Taxation. 19(2). 79–92. 2 indexed citations

16.

Chen, Ming‐Chin & Sanjay Gupta. (2007). An Empirical Investigation of the Effect of Imputation Credits on Remittance of Overseas Dividends. SSRN Electronic Journal. 1 indexed citations

17.

Chen, Ming‐Chin, et al.. (2005). An empirical investigation of the relationship between intellectual capital and firms’ market value and financial performance. Journal of Intellectual Capital. 6(2). 159–176. 149 indexed citations

18.

Chen, Ming‐Chin. (2004). Intellectual capital and competitive advantages: the case of TTY Biopharm Company. URN:NBN Resolver for Germany & Switzerland (German National Library). 2 indexed citations

19.

Chen, Ming‐Chin, et al.. (1998). Self-organized InAs/GaAs quantum dots grown on (100) misoriented substrates by molecular beam epitaxy. Journal of Crystal Growth. 188(1-4). 383–386. 5 indexed citations

20.

Chen, Ming‐Chin, et al.. (1998). Self-organized InAs/GaAs quantum dots grown by gas source molecular beam epitaxy. Journal of Applied Physics. 83(6). 3061–3064. 5 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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