Dr. Sheng Nan Li

ZORA Publication List

Publications

• Li, S.-N., Campajola, C., & Tessone, C. J. (2024). Statistical detection of selfish mining in proof-of-work blockchain systems Scientific Reports, 14, 6251. https://doi.org/10.1038/s41598-024-55348-3
• Li, S.-N., Spychiger, F., & Tessone, C. (2023). Reward Distribution in Proof-of-Stake Protocols: A Trade-Off Between Inclusion and Fairness IEEE Access, 11, 134136–134145. https://doi.org/10.1109/ACCESS.2023.3336418
• Li, S. (2023). Effects of consensus and incentives on the functioning of blockchains (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-233775
• Kraner, B., Li, S., Teixeira, A. S., & Tessone, C. (2022). Agent-based Modelling of Bitcoin Consensus without Block Rewards 29–36. https://doi.org/10.1109/Blockchain55522.2022.00015
• Schwarz-Schilling, C., Li, S.-N., & Tessone, C. J. (2021, November 15). Agent-based Modelling of Strategic behavior in PoW Protocols 2021 Third International Conference on Blockchain Computing and Applications (BCCA), Tartu. https://doi.org/10.1109/bcca53669.2021.9657011
• Schwarz-Schilling, C., Li, S.-N., & Tessone, C. (2021). Agent-based Modelling of Strategic behavior in PoW Protocols 111–118. https://doi.org/10.1109/bcca53669.2021.9657011
• Li, S.-N., Yang, Z., & Tessone, C. J. (2020). Proof-of-Work cryptocurrency mining: a statistical approach to fairness 156–161. https://doi.org/10.1109/icccworkshops49972.2020.9209934
• Li, S.-N., Yang, Z., & Tessone, C. J. (2020, August 9). Proof-of-Work cryptocurrency mining: a statistical approach to fairness 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing. https://doi.org/10.1109/icccworkshops49972.2020.9209934
• Li, S.-N., Yang, Z., & Tessone, C. J. (2020, May 6). Mining blocks in a row: a statistical study of fairness in Bitcoin mining 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Toronto. https://doi.org/10.1109/icbc48266.2020.9169436
• Liu, J.-G., Yang, Z.-H., Li, S.-N., & Yu, C.-R. (2018). A generative model for the collective attention of the Chinese stock market investors Physica A: Statistical Mechanics and Its Applications, 512, 1175–1182. https://doi.org/10.1016/j.physa.2018.08.036
• Li, S.-N., Guo, Q., Yang, K., Liu, J.-G., & Zhang, Y.-C. (2018). Uncovering the popularity mechanisms for Facebook applications Physica A: Statistical Mechanics and Its Applications, 494, 422–429. https://doi.org/10.1016/j.physa.2017.12.006
• Yang, K., Guo, Q., Li, S.-N., Han, J.-T., & Liu, J.-G. (2017). Evolution properties of the community members for dynamic networks Physics Letters A, 381, 970–975. https://doi.org/10.1016/j.physleta.2017.01.030
• Tang, L.-Y., Li, S.-N., Lin, J.-H., Guo, Q., & Liu, J.-G. (2016). Community structure detection based on the neighbor node degree information International Journal of Modern Physics C, 27, 1650046. https://doi.org/10.1142/s0129183116500467