| imapreduce: A distributed computing framework for iterative computation Y Zhang, Q Gao, L Gao, C Wang Journal of Grid Computing 10 (1), 47-68, 2012 | 318 | 2012 |
| PrIter: A distributed framework for prioritized iterative computations Y Zhang, Q Gao, L Gao, C Wang Proceedings of the 2nd ACM Symposium on Cloud Computing, 1-14, 2011 | 203 | 2011 |
| 区块链技术与应用前瞻综述 (Survey on Blockchain Technology and Its Application Prospect). P He, G Yu, Y Zhang, Y Bao 计算机科学 44 (4), 1-7, 2017 | 130 | 2017 |
| Maiter: An asynchronous graph processing framework for delta-based accumulative iterative computation Y Zhang, Q Gao, L Gao, C Wang IEEE Transactions on Parallel and Distributed Systems 25 (8), 2091-2100, 2013 | 117 | 2013 |
| iMapReduce: Incremental MapReduce for Mining Evolving Big Data Y Zhang, S Chen, Q Wang, G Yu IEEE transactions on knowledge and data engineering 27 (7), 1906-1919, 2015 | 91 | 2015 |
| Efficient distributed density peaks for clustering large data sets in mapreduce Y Zhang, S Chen, G Yu IEEE Transactions on Knowledge and Data Engineering 28 (12), 3218-3230, 2016 | 71 | 2016 |
| 区块链技术与应用前瞻综述 何蒲， 于戈， 张岩峰， 鲍玉斌 计算机科学 44 (4), 1-7, 2017 | 70 | 2017 |
| A fair comparison of message queuing systems G Fu, Y Zhang, G Yu IEEE Access 9, 421-432, 2020 | 54 | 2020 |
| SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU H Wang, L Geng, R Lee, K Hou, Y Zhang, X Zhang Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 53 | 2019 |
| Clustering stream data by exploring the evolution of density mountain S Gong, Y Zhang, G Yu Proceedings of the VLDB Endowment 11 (4), 393-405, 2017 | 48 | 2017 |
| Survey on blockchain technology and its application prospect H Pu, Y Ge, Z Yan-Feng, B Yu-Bin Computer science 44 (4), 1-7, 2017 | 48 | 2017 |
| Accelerate large-scale iterative computation through asynchronous accumulative updates Y Zhang, Q Gao, L Gao, C Wang Proceedings of the 3rd workshop on Scientific Cloud Computing, 13-22, 2012 | 48 | 2012 |
| LSbM-tree: Re-enabling buffer caching in data management for mixed reads and writes D Teng, L Guo, R Lee, F Chen, S Ma, Y Zhang, X Zhang 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 46 | 2017 |
| Accelerating expectation-maximization algorithms with frequent updates J Yin, Y Zhang, L Gao 2012 IEEE International Conference on Cluster Computing, 275-283, 2012 | 39 | 2012 |
| 区块链系统中的分布式数据管理技术——挑战与展望 于戈， 聂铁铮， 李晓华， 张岩峰， 申德荣， 鲍玉斌 计算机学报 44 (1), 28-54, 2021 | 34* | 2021 |
| Eddpc: an efficient distributed density peaks clustering algorithm G Shufeng, Z Yanfeng Journal of Computer Research and Development 53 (6), 1400-1409, 2016 | 28 | 2016 |
| i2MapReduce: incremental iterative MapReduce Y Zhang, S Chen Proceedings of the 2nd international workshop on cloud intelligence, 1-4, 2013 | 20 | 2013 |
| Neutronstar: distributed GNN training with hybrid dependency management Q Wang, Y Zhang, H Wang, C Chen, X Zhang, G Yu Proceedings of the 2022 International Conference on Management of Data, 1301 …, 2022 | 19 | 2022 |
| Automating incremental and asynchronous evaluation for recursive aggregate data processing Q Wang, Y Zhang, H Wang, L Geng, R Lee, X Zhang, G Yu Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 17 | 2020 |
| A low-cost disk solution enabling LSM-tree to achieve high performance for mixed read/write workloads D Teng, L Guo, R Lee, F Chen, Y Zhang, S Ma, X Zhang ACM Transactions on Storage (TOS) 14 (2), 1-26, 2018 | 17 | 2018 |
Ge Yu (于戈)Northeastern University, ChinaVerified email at mail.neu.edu.cn
