R. M. Walker, Chen, J., and Aravind, D.,
“Management Innovation and Firm Performance: An Integration of Research Findings”,
European Management Journal, vol. 33, no. 5, pp. 407–422, 2015.
X. Li, Chen, H., Zhang, Z., Li, J., and Nunamaker, J. F.,
“Managing knowledge in light of its evolution process: An empirical study on citation network-based patent classification”,
Journal of Management Information Systems, vol. 26, no. 1, pp. 129-153, 2009.
R. Garrett, Covin, J., and Slevin, D.,
“Market Responsiveness, Top Management Risk Taking, and the Role of Strategic Learning as Determinants of Market Pioneering”,
Journal of Business Research, vol. 62, no. 8, pp. 782-788, 2009.
B. Marshall, Chen, H., and Madhusudan, T.,
“Matching Knowledge Elements in Concept Maps Using a Similarity Flooding Algorithm”,
Decision Support Systems, vol. 42, no. 3, pp. 1290-1306, 2006.
D. Nam, Kim, J., Arthurs, J., Sosik, J. J., and Cullen, J. B.,
“Measurement and Structural Invariance of Entrepreneurial Investment Climate: A Cross-Country Scale Development”,
International Business Review, vol. 25, no. 5, pp. 1053-1065, 2016.
J. Chen, Farah, N., Dong, R., Xu, W., Yin, A., Dellios, A., Miller, S., Wan, X., and Xu, S.,
“The Mental Health Under the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis”,
International Journal of Environmental Research and Public Health, vol. 18, no. 20, p. 10604, 2021.
N. Carpenter, Berry, C., and Houston, L.,
“A Meta-analytic Comparison of Self- and Other-Reported Organizational Citizenship Behavior.”,
Journal of Organizational Behavior, vol. 35, no. 4, pp. 547-574, 2014.
H. - L. Chen and Cluver, B.,
“Microbiological Resistance of Naturally Colored Cottons”,
Annual Meeting of the International Textile and Apparel Association. Chicago, Illinois, 2009.
H. - L. Chen and Cluver, B.,
“Microbiological Resistance of Naturally Colored Cottons”,
Annual Meeting of the International Textile and Apparel Association. Chicago, Illinois, 2009.
D. Liang, Zhang, H., Chang, X., and Huang, H.,
“Modeling and Regionalization of China's PM2.5 Using Spatial-Functional Mixture Models”,
Journal of the American Statistical Association, vol. 116, no. 553, pp. 116–132, 2020.