| A comparative analysis of community detection algorithms on artificial networks Z Yang, R Algesheimer, CJ Tessone Scientific reports 6, 30750, 2016 | 950 | 2016 |
| Hierarchical benchmark graphs for testing community detection algorithms Z Yang, JI Perotti, CJ Tessone Physical Review E 96 (5), 052311, 2017 | 26 | 2017 |
| Mining blocks in a row: A statistical study of fairness in Bitcoin mining SN Li, Z Yang, CJ Tessone 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-4, 2020 | 22 | 2020 |
| Proof-of-Work cryptocurrency mining: a statistical approach to fairness SN Li, Z Yang, CJ Tessone 2020 IEEE/CIC International Conference on Communications in China (ICCC …, 2020 | 19 | 2020 |
| The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks H Liu, N Yang, Z Yang, J Lin, Y Zhang Physica A: Statistical Mechanics and its Applications 539, 122919, 2020 | 17 | 2020 |
| When Ethical Transgressions of Customers Have Beneficial Long-Term Effects in Retailing: An Empirical Investigation Z Yang, R Algesheimer, U Dholakia Journal of Retailing 93 (4), 420-439, 2017 | 12 | 2017 |
| Corrigendum: A Comparative Analysis of Community Detection Algorithms on Artificial Networks Z Yang, R Algesheimer, CJ Tessone Scientific reports 7, 46845, 2017 | 9 | 2017 |
| Modeling and simulations of the cascading failure of multiple interdependent R&D networks under risk propagation H Liu, N Yang, Z Yang, Y Zhang, J Lin Physics Letters A 383 (21), 2443-2450, 2019 | 8 | 2019 |
| Using combined network-based approaches to analyze risk interactions in R&D alliance H Liu, N Yang, Z Yang, Y Zhang, R Li Journal of the Operational Research Society 72 (11), 2460-2471, 2021 | 7 | 2021 |
| Rank the spreading influence of nodes using dynamic Markov process J Lin, BL Chen, Z Yang, JG Liu, CJ Tessone New Journal of Physics 25 (2), 023014, 2023 | 5 | 2023 |
Claudio J. TessoneProfessor for Blockchain & Distributed Ledger Technologies, Universität Zürich在 uzh.ch 的电子邮件经过验证
