Computational Communication as an Emerging Research Paradigm
  1. Zhang, L, Peng, T. Q., Wang, C. J., Liang, H., & Zhu, J. J. H. (2021). A Natural Course from Marginality to Centrality: What we learned from the development of computational communication research in China (從邊陲到主流的一條自然路徑：華人計算傳播學者的參與和體驗). In Francis L. F. Lee, Yu Huang (Eds), Inherit and Inspire: The Past, Present and Future of Chinese Communication Studies (pp. 399-419). Hong Kong: Chinese University of Hong Kong Press. [in Chinese]
  2. Lee, S. U., & Peng, T. Q. (2021). Big Data, Analysis of. In Jan Van den Bulck (Ed), The International Encyclopedia of Media Psychology, Wiley-Blackwell.
  3. Peng, T. Q., Liang, H., & Zhu, J. J. H. (Eds.) (2019). Special Issue on Introducing Computational Social Science for Asia-Pacific Communication Research. Asian Journal of Communication, 29(3).
  4. Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., González-Bailón, S., Lamberson, P. J., Pan, J., Peng, T. Q., Shen, C. H., Smaldino, P. E., van Atteveldt, W., Waldherr, A., Zhang, J. W., & Zhu, J. J. H. (2019). Computational communication science: A methodological catalyzer for a maturing discipline. International Journal of Communication, 13, 3912-3934.
  5. Van Atteveldt, W., & Peng, T. Q. (Eds.) (2018). Special Issue on Computational Methods for Communication Science. Communication Methods and Measures, 12(2-3).
  6. ​Zhu, J. J. H., Peng, T. Q., Liang, H., Wang, C. J., Qin, J., & Chen, H. X. (2014). Computational social science in communication research. e-Science Technology & Application, 5(2), 3-13. [in Chinese]
Structure & Dynamics on Social Media and Beyond​
  1. Zhang, L., Li, Y. N., Peng, T. Q., & Wu, Y. (2022). Dynamics of the social construction of knowledge: An empirical study of Zhihu in China. EPJ Data Science, 11, 35.
  2. Chung, M., Jang, Y., Lapinski, M. Kerr, J., Zhao, J. H., Shupp, R., & Peng, T. Q. (2022). I do, therefore I think it is normal: The causal effects of behavior on descriptive norm formation and evolution. Social Influence, 17(1), 17-35.
  3. Wang, Y. F., Peng, T. Q., Lu, H. H., Wang, H. R., Xie, X., Qu, H. M., & Wu, Y. C. (2022). Seek for success: A visualization approach for understanding the dynamics of academic careers. IEEE Transactions on Visualization and Computer Graphics, 28(1), 475-485. Demo Video
  4. Zheng, H., Aung, H. H., Erdt, M., Peng, T. Q., Sesagiri Raamkumar, A., & Theng, Y. L. (2019). Social media presence of scholarly journals. Journal of the Association for Information Science and Technology, 70, 256-270.
  5. Sun, G. D., Tang, T., Peng, T. Q., Liang, R. H., & Wu, Y. C. (2018). SocialWave: Visual analysis of spatio-temporal diffusion of information on social media. ACM Transactions on Intelligent Systems and Technology, 9(2), Article 15.
  6. Xu, X. X., Yang, X. D., Lu, J. H., Lan, J., Peng, T. Q., Wu, Y. C., & Chen, W. (2017). Examining the Effects of Network Externalities, Density, and Closure on In-game Currency Price in Online Games. Internet Research, 27, 924-941. ​
  7. Wang, X. T., Liu, S. X., Chen, Y., Peng, T. Q., Su, J., Yang, J., & Guo, B. N. (2016). How Ideas Flow across Multiple Social Groups. Proceedings of the 2016 IEEE Visual Analytics Science and Technology (VAST 2016), Baltimore, Maryland. DOI: 10.1109/VAST.2016.7883511. Demo Video
  8. ​​Zhang, L., & Peng, T. Q. (2015). Breadth, Depth and Speed: Diffusion of Advertising Messages on Microblogging Sites. Internet Research, 25, 453-470. 
  9. Zhang, L., Peng, T. Q., Zhang, Y. P., Wang, X. H., & Zhu, J. J. H. (2014). Content or Context: Which Matters More in Information Processing on Microblogging Sites? Computers in Human Behavior, 31, 242-249.
Political Communication
  1. Peng, T. Q., & Zhu, J. J. H. (2022). Competition, cooperation, and coexistence: An ecological approach to public agenda dynamics in the United States (1958-2020). Communication Research.
  2. Robertson, C., Dutton, W., Ackland, R., & Peng, T. Q. (2019). The democratic role of social media in political debates: The use of Twitter in the first televised US presidential debate of 2016. Journal of Information Technology & Politics,16, 105-118. 
  3. Paulus, F. M., Müller-Pinzler, L., Meshi, D., Peng, T. Q., Martinez Mateo, M., & Krach, S. (2019). The politics of embarrassment: Considerations on how norm-transgressions of political representatives shape nation-wide communication of emotions on social media. Frontiers in Communication.
  4. Peng, T. Q., Sun, G. D., & Wu, Y. C. (2017). Interplay between public attention and public emotion toward multiple social issues on Twitter. PLoS ONE, 12, e0167896.​
  5. ​Peng, T. Q., Liu, M. C., Wu, Y. C., & Liu, S. X. (2016). Follower-followee Network, Communication Networks and Vote Agreement of U.S. Members of Congress. Communication Research, 43, 996-1024.
  6. Qin, J., & Peng, T. Q. (2016). Googling Environmental Issues: Web Search Queries as a Measurement of Public Attention on Environmental Issues. Internet Research, 26, 57-73. ​
  7. Sun, G. D., Wu, Y. C., Liu, S. X., Peng, T. Q., Zhu, J. J. H., & Liang, R. F. (2014). EvoRiver: Visual Analysis of Topic Coopetition on Social Media. IEEE Transactions on Visualization and Computer Graphics, 20, 1753-1762. Demo Video
  8. Xu, P. P., Wu, Y. C., Wei, E. X., Peng, T. Q., Liu, S. X., Zhu, J. J. H., & Qu, H. M. (2013). Visual Analysis of Topic Competition on Social Media. IEEE Transactions on Visualization and Computer Graphics, 19, 2012-2021. Demo Video    
User Analytics & Mobile Communication
  1. Zhang, L., Zheng, L., & Peng, T. Q. (2021). Examining familial role in mobile news consumption as a sequential process. Telematics and Informatics, 56, 101502.
  2. Peng, T. Q., Zhou, Y., & Zhu, J. J. H. (2020). From filled to empty time intervals: Quantifying online behaviors with digital traces. Communication Methods and Measures, 14(4), 219-238.
  3. Peng, T. Q., & Zhu, J. J. H. (2020). Mobile phone use as sequential processes: From discrete behaviors to sessions of behaviors and trajectories of sessions. Journal of Computer-Mediated Communication, 25(2), 129-146.
  4. Lu, J. H., Xie, X., Lan, J., Peng, T. Q., Chen, W., & Wu, Y. C. (2019). BeXplorer: Visual analytics of dynamic interplay between behaviors in MMORPGs. Visual Informatics, 3, 87-101. Demo Video
  5. Zhu, J. J. H., Chen, H. X., Peng, T. Q., Liu, X. F, & Dai, H. X. (2018). How to measure sessions of mobile device use? Quantification, Evaluation, and Applications. Mobile Media & Communication, 6(2), 215-232.
  6. Zhang, L., Zheng, L., & Peng, T. Q. (2017). Structurally embedded news consumption on mobile news applications. Information Processing & Management, 53, 1242-1253.
Social Media & Health​
  1. Lee, S., Ma, S. Y, Meng, J., Zhuang, J., & Peng, T. Q. (2022). Detecting sentiment toward emerging infectious disease on social media: A validity evaluation of dictionary-based sentiment analysis. International Journal of Environmental Research and Public Health, 19(11), 6759.
  2. ​​Lee, S., Peng, T. Q., Lapinski, M., Turner, M., Jang, Y., & Schaaf, A. (2021). Too stringent or too lenient: Antecedents and consequences of perceived stringency of COVID-19 policies in the United States. Health Policy OPEN, 2, 100047.
  3. Zhang, Y., Cao, B. L., Wang, Y. F., Peng, T. Q., & Wang, X. H. (2020). When public health research meets social media: Knowledge mapping from 2000 to 2018. Journal of Medical Internet Research, 22(8), e17582.
  4. Zhuang, J., Peng, T. Q., Tang, J. L., & Wu, Y. C. (2020). Mixed and blended emotional reactions to 2014 Ebola outbreak. Journal of Global Health, 10, 010304.
  5. Guan, L., Peng, T. Q., & Zhu, J. J. H. (2019). Who is tracking health on mobile devices: Behavioral logfile analysis in Hong Kong. JMIR mHealth and uHealth, 7(5): e13679.
  6. Shi, J. Y., Wang, X. H., Peng, T. Q., & Chen, L. (2019). Cancer prevention messages on Chinese social media: A content analysis grounded in the extended parallel process model and attribution theory. International Journal of Communication, 13, 1959-1976.
  7. Wang, X. H., Chen, L., Shi, J. Y., & Peng, T. Q. (2019). What makes cancer information viral on social media? Computers in Human Behavior, 93, 149-156.
  8. Cheng, L., Wang, X. H., & Peng, T. Q. (2018). Nature and diffusion of gynecologic cancer-related misinformation on social media. Journal of Medical Internet Research, 20, e11515.
  9. Dearing, J. W., Kee, K. F., & Peng, T. Q. (2017). Historical roots of dissemination and implementation science. In R. C. Brownson, G. A. Colditz, & E. K. Proctor (eds.), Dissemination and implementation research in health: translating science to practice (2nd ed., pp. 47-61). New York, NY: Oxford University Press.
  10. ​Shi, J. Y., Wang, X. H., Peng, T. Q., & Chen, L. (2017). Understanding interactions in virtual HIV communities; A Social Network Analysis Approach. AIDS Care, 29, 239-243.
  11. Wang, X. H., Shi, J. Y., Chen, L., & Peng, T. Q. (2016). An Examination of Users' Influence in Online HIV/AIDS Communities. Cyberpsychology, Behavior, and Social Networking, 19, 314-320.                                           
Review of Internet Studies as a Field of Social Sciences
  1. Peng, T. Q. (2015). Assortative Mixing, Preferential Attachment and Triadic Closure: A Longitudinal Study of Tie-Generative Mechanisms in Journal Citation Networks. Journal of Informetrics, 9, 250-262. 
  2.  Jiang, L. C., Wang, Z. Z., Peng, T. Q., & Zhu, J. J. H. (2015). The Divided Communities of Shared Concerns: Mapping the Intellectual Structure of e-Health Research in Social Science Journals. International Journal of Medical Informatics, 84, 24-35. 
  3. Peng, T. Q., & Wang, Z. Z. (2013). Network Closure, Brokerage, and Structural Influence of Journals: A Longitudinal Study of Journal Citation Network in Internet Research (2000-2010). Scientometrics, 97, 675-693. 
  4. Peng, T. Q., Zhang, L., Zhong, Z. J., & Zhu, J. J. H. (2013). Mapping the Landscape of Internet Studies: Text Mining of Social Science Journal Articles 2000-2009. New Media & Society, 15, 644-664. 
  5. Peng, T. Q., & Zhu, J. J. H. (2012). Where You Publish Matters Most: A Multilevel Analysis of Factors Affecting Citations of Internet Studies. Journal of the American Society for Information Science and Technology, 63, 1789-1803. 
Adoption, Usage, and Impacts of Web 1.0​
  1. Danowski, J., van Klyton, A., Peng, T. Q., Ma, S., Nkakleu, R., & Biboum, A. D. (2022). Information and communications technology development, interorganizational networks, and public sector corruption in Africa. Quality & Quantity.
  2. Zhu, Q. F., Skoric, M., & Peng, T. Q. (2018). Citizens’ use of the Internet and public service delivery: A longitudinal study of the first-level administrative divisions in China (1997-2014). International Journal of Public Administration in the Digital Age (IJPADA), 5(3), 32-42.
  3. Peng, T. Q., Zhu, J. J. H., Tong, J. J., & Jiang, S. J. (2012). Predicting Internet Nonusers’ Adoption Intention and Adoption Behavior:  A Panel Study of Theory of Planned Behavior. Information, Communication & Society, 15, 1236-1257. 
  4. Peng, T. Q., & Zhu, J. J. H. (2011). A Game of Win-Win or Win-Lose? ---- A Revisit to the Internet’s Influence on Use of Traditional Media and Sociability. New Media & Society, 13, 568-586. 
  5. Peng, T. Q., & Zhu, J. J. H. (2011). Sophistication of Internet Usage (SIU) and Its Attitudinal Antecedents: An Empirical Study in Hong Kong. Computers in Human Behavior, 27, 421-431. 
  6. Peng, T. Q., & Zhu, J. J. H. (2010). Youth and the Internet in East Asia. Journal of Youth Studies, 13, 13-30.
  7. Peng, T. Q., & Zhu, J. J. H. (2008). Cohort Trends in Perceived Internet Influence on Political, Efficacy in Hong Kong. Cyberpsychology & Behavior, 11, 75-79.