Ke‐Chiun Chang

960 total citations
38 papers, 721 citations indexed

About

Ke‐Chiun Chang is a scholar working on Management of Technology and Innovation, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Ke‐Chiun Chang has authored 38 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management of Technology and Innovation, 16 papers in Economics and Econometrics and 6 papers in Management Science and Operations Research. Recurrent topics in Ke‐Chiun Chang's work include Intellectual Property and Patents (13 papers), Innovation Policy and R&D (8 papers) and Entrepreneurship Studies and Influences (7 papers). Ke‐Chiun Chang is often cited by papers focused on Intellectual Property and Patents (13 papers), Innovation Policy and R&D (8 papers) and Entrepreneurship Studies and Influences (7 papers). Ke‐Chiun Chang collaborates with scholars based in China and Taiwan. Ke‐Chiun Chang's co-authors include Yu‐Shan Chen, Dar‐Zen Chen, Mu‐Hsuan Huang, Fangjhy Li, Xueping Li, R.J. Kuo, Shao‐Yi Chien, Di Wang, Li Liu and Xueya Zhou and has published in prestigious journals such as PLoS ONE, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Ke‐Chiun Chang

37 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke‐Chiun Chang China 13 400 286 234 133 89 38 721
Giorgio Petroni Italy 13 291 0.7× 178 0.6× 394 1.7× 119 0.9× 45 0.5× 32 685
X. Henry Wang United States 11 390 1.0× 136 0.5× 205 0.9× 165 1.2× 69 0.8× 41 582
Müge Özman France 10 260 0.7× 128 0.4× 334 1.4× 109 0.8× 106 1.2× 29 657
W. X. Gu China 10 201 0.5× 146 0.5× 98 0.4× 99 0.7× 40 0.4× 28 521
Gupeng Zhang China 15 395 1.0× 159 0.6× 195 0.8× 37 0.3× 86 1.0× 40 691
Marco Capasso Italy 13 543 1.4× 89 0.3× 107 0.5× 56 0.4× 45 0.5× 37 831
Francesco Venturini Italy 18 731 1.8× 114 0.4× 181 0.8× 26 0.2× 78 0.9× 49 943
Konstantinos Baltas United Kingdom 9 307 0.8× 61 0.2× 178 0.8× 51 0.4× 44 0.5× 16 630
Siying Yang China 16 414 1.0× 42 0.1× 118 0.5× 95 0.7× 36 0.4× 33 586
Yong-Gil Lee South Korea 12 252 0.6× 199 0.7× 150 0.6× 17 0.1× 59 0.7× 40 496

Countries citing papers authored by Ke‐Chiun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Chiun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke‐Chiun Chang. 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 Ke‐Chiun Chang. The network helps show where Ke‐Chiun Chang may publish in the future.

Co-authorship network of co-authors of Ke‐Chiun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke‐Chiun Chang. A scholar is included among the top collaborators of Ke‐Chiun Chang 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 Ke‐Chiun Chang. Ke‐Chiun Chang 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.
Zhang, Jiahui, et al.. (2023). Using threshold regression to analyze the impact of external earnings pressure on stock price crash risk based on management tone in China. Applied Economics. 56(51). 6273–6287. 1 indexed citations
2.
Chang, Ke‐Chiun, et al.. (2023). Research on the influence of equity incentive and internal control quality on company investment decision under the 14th five-year plan. Applied Economics. 56(50). 6080–6090. 1 indexed citations
3.
Chang, Ke‐Chiun, et al.. (2021). Environmental Regulation, Promotion Pressure of Officials, and Enterprise Environmental Protection Investment. Frontiers in Public Health. 9. 724351–724351. 33 indexed citations
4.
Yang, Yang, et al.. (2021). Threshold Effect of the Government Intervention in the Relationship Between Business Cycle and Population Health: Evidence From China. Frontiers in Public Health. 9. 689870–689870. 4 indexed citations
5.
Yang, Yang, et al.. (2021). The Structural Characteristics of Economic Network and Efficiency of Health Care in China. Frontiers in Public Health. 9. 724736–724736. 6 indexed citations
6.
Yang, Yang, et al.. (2020). Determinants of highly-cited green patents: The perspective of network characteristics. PLoS ONE. 15(10). e0240679–e0240679. 9 indexed citations
7.
Huang, Yang, et al.. (2020). Can Environmental Regulation Reduce Labor Costs and Improve Business Performance? Evidence From the Air Quality Index. Frontiers in Public Health. 7. 398–398. 11 indexed citations
8.
Chang, Ke‐Chiun, et al.. (2020). Bootstrap ARDL Test on the Relationship among Trade, FDI, and CO2 Emissions: Based on the Experience of BRICS Countries. Sustainability. 12(3). 1060–1060. 46 indexed citations
9.
Tao, Ran, et al.. (2020). Impact of China's Vaccine Incidents on the Operational Efficiency of Biopharmaceutical Companies. Frontiers in Public Health. 8. 93–93. 3 indexed citations
10.
Chang, Tsangyao, et al.. (2019). Non-linear Impact of China's Economic Growth on the Health of Residents—An Empirical Study Based on TVP-FAVAR Model. Frontiers in Public Health. 7. 380–380. 9 indexed citations
11.
Chen, Yu‐Ju, et al.. (2018). Evidence of the inheritance of firm routines through accounting information: An empirical study of the Taiwanese group firms. Journal of Management & Organization. 28(6). 1219–1234. 1 indexed citations
12.
Chang, Ke‐Chiun, et al.. (2017). Network characteristics and patent value—Evidence from the Light-Emitting Diode industry. PLoS ONE. 12(8). e0181988–e0181988. 10 indexed citations
14.
Chang, Ke‐Chiun, et al.. (2011). Evaluating branch efficiency of a Taiwanese bank using data envelopment analysis with an undesirable factor. AFRICAN JOURNAL OF BUSINESS MANAGEMENT. 5(8). 3220–3228. 12 indexed citations
15.
Chen, Yu‐Shan & Ke‐Chiun Chang. (2011). The nonlinear effect of green innovation on the corporate competitive advantage. Quality & Quantity. 47(1). 271–286. 90 indexed citations
16.
Chang, Ke‐Chiun, Dar‐Zen Chen, & Mu‐Hsuan Huang. (2011). The relationships between the patent performance and corporation performance. Journal of Informetrics. 6(1). 131–139. 49 indexed citations
17.
Chen, Yu‐Shan & Ke‐Chiun Chang. (2010). Exploring the nonlinear effects of patent citations, patent share and relative patent position on market value in the US pharmaceutical industry. Technology Analysis and Strategic Management. 22(2). 153–169. 49 indexed citations
18.
Chen, Yu‐Shan & Ke‐Chiun Chang. (2009). Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies. Scientometrics. 80(3). 637–655. 23 indexed citations
20.
Chen, Yu‐Shan & Ke‐Chiun Chang. (2008). Using the fuzzy associative memory (FAM) computation to explore the R&D project performance. Quality & Quantity. 44(3). 537–549. 6 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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