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Digital Governance and Analytics Lab Publications

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  5. Digital Governance and Analytics Lab Publications

Digital Governance and Analytics Lab Publications

Book Chapter:
  • Lutte, R.K. & Huang, C. (2020) Aviation outreach: reaching the next generation of aviation professionals. 1st Chapter of Book: Engaging the Next Generation of Aviation Professionals. Taylor & Francis Group ISBN 9780429287732.
Peer-reviewed Journals:
  • Yang, C., Wallace, R. J., & Huang, C. (2024). A review and bibliometric analysis of unmanned aerial system (UAS) noise studies between 2015 and 2024. Acoustics, 6(4), 997-1020; https://doi.org/10.3390/acoustics6040055.
  • Yang, C., Huang, C., & Zhao, Y. (2024). The intellectual structure and the future of counter-UAS research: A bibliometric and scoping review. International Journal of Aviation, Aeronautics, and Aerospace, 11(3). DOI: https://doi.org/10.58940/2374-6793.1922.
  • Mendonca, F. A.C., Huang, C., Keller, J., & Anderson, C. (2024). Trends in wildlife strikes to aircraft in Brazil: Implications for airport operators. Journal of Aviation Technology and Engineering 13(2). DOI: https://doi.org/10.7771/2159-6670.1321
  • Tsai, C-H, Huang, C., Chen, Y-C, Zendejas, E, Krafka, S., & Zendejas, J. (2024). Co-design smart disaster management systems with indigenous communities. Digital Government: Research and Practice 2024. doi: https://doi.org/10.1145/3660643
  • Li, Z., Yang, C., & Huang, C. (2023). A Comparative Sentiment Analysis of Airline Customer Reviews Using Bidirectional Encoder Representations from Transformers (BERT) and Its Variants. Mathematics, 12(1), 53. doi: https://doi.org/10.3390/math12010053
  • Yang, C. & Huang, C. (2023). Natural language processing in aviation safety: systematic review of research and outlook into the future. Aerospace 10(7), 600. doi: https://doi.org/10.3390/aerospace10070600
  • Huang, C. & Cheng, X. (2022). Estimation of aircraft fuel consumption by modeling flight data from avionics systems. Journal of Air Transport Management 99. doi: https://doi.org/10.1016/j.jairtraman.2022.102181
  • Huang, C., Chen, Y-C, & Harris, J. (2021). Regulatory compliance and socio-demographic analyses of civil unmanned aircraft system users. Technology in Society, 65. doi: https://doi.org/10.1016/j.techsoc.2021.101578.
  • Chen, Y-C, & Huang, C. (2021). Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities. Smart Cities 2021, 4(1). doi: https://doi.org/10.3390/smartcities4010005
  • Mendonca, F A.C., Keller, J., & Huang, C. (2020). An analysis of wildlife strikes to aircraft in Brazil: 2011-2018. Journal of Airline and Airport Management, 10(2). doi: http://dx.doi.org/10.3926/jairm.160
  • Huang, C. (2020a). Applying knowledge discovery process in general aviation flight performance analysis. Trends in Technical & Scientific Research 4(2). doi: 10.19080/TTSR.2020.04.555633
  • Huang, C. (2020b). Analysis of part 135 aircraft accidents to facilitate flight data monitoring. International Journal of Aviation, Aeronautics, and Aerospace 7(1). doi: https://doi.org/10.15394/ijaaa.2020.1450
  • Huang, C. (2020c). Further improving general aviation flight safety: analysis of aircraft accidents during takeoff. Collegiate Aviation Review International 38(1). doi: https://doi.org/10.22488/okstate.20.100206
  • Huang, C., Xie, A. & Mendonca, F.A.C. (2020). Factorial validity of the flight risk assessment tool in general aviation operations. Journal of Aviation Technology and Engineering 9(1). doi: https://doi.org/10.7771/2159-6670.1205
  • Mendonca, F.A.C, Huang, C. Carney, T., & Johnson, M.E. (2018). Assessing the risks: An analysis of wildlife-strike data at the three busiest Brazilian airports (2011-2016). International Journal of Aviation, Aeronautics, and Aerospace 5(5). doi: https://commons.erau.edu/ijaaa/vol5/iss5/3
  • Huang, C., & Johnson, M.E. (2017). Exploring ADS-B as an Alternative Data Source for Flight Data Monitoring. Collegiate Aviation Review – International 35(2), 13-29. doi: https://doi.org/10.22488/okstate.18.100480
  • Huang, C., Xu, Y., & Johnson, M.E. (2017). Statistical Modeling of the Fuel Flow Rate of GA Piston Engine Aircraft Using Flight Operational Data. Transportation Research Part D: Transport and Environment 53, 50-62. doi: http://doi.org/10.1016/j.trd.2017.03.023
  • Pan, W., Luo, X., Kang, R., Huang, C., Xia, Z., & Qiu, W. (2016). Assessment Model of Conflict Probability at Airport Surface Intersection. Journal of System Simulation 28(12). doi: 10.16182/j.issn1004731x.joss.201612006
  • Zhuo, X., Huang, C., Zhou, G., Pan, Y., & Yu, Q. (2016). The Operational Mechanism and Information Flow of Collaborative Operations Between Civil and Military Air Traffic Management. Transportation Enterprise Management 3, 63-65.
  • Wang, Y., Keller, J. C., Huang, C., & Fanjoy, R.O. (2015). An Exploratory Study: Correlations between Occupational Stressors, Coping Mechanisms and Job Performance among Chinese Aviation Maintenance Technicians. Journal of Aviation Technology and Engineering, 5(2), 69-80. doi: http://dx.doi.org/10.7771/2159-6670.1129
  • Nishu, M.A., Huang, C., Roohi, M., & Zhong, X. (2025). Interpretable dual-stream learning for local wind hazard prediction in vulnerable communities. Proceedings of the 15th IEEE Global Humanitarian Technology Conference, IEEE, 2025. (accepted)
  • Munyer, T., Brinkman, D., Zhong, X., Huang, C., & Konstantzos, I. (2022). Foreign object debris detection from airport pavement images based on self-supervised localization and vision transformer. Proceedings of the International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, 2022.
  • Munyer, T., Huang, P-C., Huang, C., & Zhong, X. (2021). FOD-A: A dataset for foreign object debris in airports. Proceedings of IEEE 2021 International Conference on Machine Learning and Applications.

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