Peer-Reviewed Journals

1. Hu-Bolz, Jiejun; Farrahi, Katayoun; Cebrian, Manuel (2023). Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.24064893.v1

2. J. Hu, M. Reed, N. Thomos, M. F. Al-Naday and K. Yang, "A Dynamic Service Trading in a DLT-Assisted Industrial IoT Marketplace," in IEEE Transactions on Network and Service Management, 2022, doi: 10.1109/TNSM.2022.3191979.

3. Hu, J.; Reed, M.J.; Al-Naday, M.; Thomos, N. Hybrid Blockchain for IoT—Energy Analysis and Reward Plan. Sensors 2021, 21, 305. https://doi.org/10.3390/s21010305

4. J. Hu, M. Reed, N. Thomos, M. F. AI-Naday and K. Yang, "Securing SDN-Controlled IoT Networks Through Edge Blockchain," in IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2102-2115, 15 Feb.15, 2021, doi: 10.1109/JIOT.2020.3017354.

5. J. Hu, K. Yang, K. Wang and K. Zhang, "A Blockchain-Based Reward Mechanism for Mobile Crowdsensing," in IEEE Transactions on Computational Social Systems, vol. 7, no. 1, pp. 178-191, Feb. 2020, doi: 10.1109/TCSS.2019.2956629.

6. Hu, L., Hu, J., Fu, T., Bao, J., & Wang, F. (2019). Asymmetric network information cache based on mobile traffic in software-defined network. Advances in Mechanical Engineering, 11(1), 1687814018819894.

7. P. Hao, L. Hu, J. Jiang, J. Hu and X. Che, "Mobile Edge Provision with Flexible Deployment," in IEEE Transactions on Services Computing, vol. 12, no. 5, pp. 750-761, 1 Sept.-Oct. 2019, doi: 10.1109/TSC.2018.2842227.

8. J. Hu, K. Yang, L. Hu and K. Wang, "Reward-Aided Sensing Task Execution in Mobile Crowdsensing Enabled by Energy Harvesting," in IEEE Access, vol. 6, pp. 37604-37614, 2018, doi: 10.1109/ACCESS.2018.2839582.

9. Jiang, J., Hu, L., Hao, P., Sun, R., Hu, J., & Li, H. (2018). Q-FDBA: improving QoE fairness for video streaming. Multimedia Tools and Applications, 77(9), 10787-10806.

10. Wang, F., Hu, L., Sun, R., Hu, J., & Zhao, K. (2018). SRMCS: A semantic-aware recommendation framework for mobile crowd sensing. Information Sciences, 433, 333-345.

11. Fu, T., Hu, L., Yu, X., Hu, J., & Zhao, K. (2017). Role-based intelligent application state computing for OpenFlow distributed controllers in software-defined networking. Soft Computing, 21(21), 6269-6277.

12. Wang, F., Hu, L., Zhou, J., Hu, J., & Zhao, K. (2017). A semantics-based approach to multi-source heterogeneous information fusion in the internet of things. Soft Computing, 21(8), 2005-2013.

13. Wang, F., Hu, L., Hu, J., Zhou, J., & Zhao, K. (2017). Recent advances in the internet of things: Multiple perspectives. IETE Technical Review, 34(2), 122-132.

Peer-Reviewed Conference

1. J. Hu, M. Reed, M. Al-Naday, and N. Thomos, "Blockchain-Aided Flow Insertion and Verification in Software Defined Networks," 2020 Global Internet of Things Summit (GIoTS), 2020, pp. 1-6, doi: 10.1109/GIOTS49054.2020.9119638.

2. M. Hu, H. Chen, J. Hu, H. Yan, and P. Yu, "Maximum Lifetime Optimized Collaboration of Data and Energy Routing in VANET," 2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS), 2019, pp. 290-294, doi: 10.1109/ICVRIS.2019.00077.

3. Hu, Jiejun, and Xilong Che. "A Collaborative CODING FRAMEWORK OF RS AND H. 264." CS & IT Conference Proceedings. Vol. 7. No. 8. CS & IT Conference Proceedings, 2017.

For a full publication list, please refer my google scholar