Zengxiang Li

1.8k total citations · 1 hit paper
53 papers, 997 citations indexed

About

Zengxiang Li is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Zengxiang Li has authored 53 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 20 papers in Information Systems and 16 papers in Management Science and Operations Research. Recurrent topics in Zengxiang Li's work include Distributed and Parallel Computing Systems (15 papers), Simulation Techniques and Applications (15 papers) and Blockchain Technology Applications and Security (10 papers). Zengxiang Li is often cited by papers focused on Distributed and Parallel Computing Systems (15 papers), Simulation Techniques and Applications (15 papers) and Blockchain Technology Applications and Security (10 papers). Zengxiang Li collaborates with scholars based in Singapore, China and United States. Zengxiang Li's co-authors include Jun Zhao, Dusit Niyato, Lingjuan Lyu, Yingbo Liu, Yang Zhao, Rui Tan, Linshan Jiang, Wentong Cai, Stephen John Turner and Rick Siow Mong Goh and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and International Journal of Environmental Research and Public Health.

In The Last Decade

Zengxiang Li

52 papers receiving 961 citations

Hit Papers

Privacy-Preserving Blockchain-Based Federated Learning fo... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
    2020 410 citations Yang Zhao, Jun Zhao et al. IEEE Internet of Things Journal profile →

Peers

Zengxiang Li
Pablo Basanta Val Spain
Yexi Jiang United States
An Liu China
Chunqiu Zeng United States
Djamal Benslimane France
Jianling Sun China
Mingjun Xiao China
Mauro Iacono Italy
E Haihong China
Josiane Xavier Parreira Germany
Pablo Basanta Val Spain
Zengxiang Li
Citations per year, relative to Zengxiang Li Zengxiang Li (= 1×) peers Pablo Basanta Val

Countries citing papers authored by Zengxiang Li

Since Specialization
Citations

This map shows the geographic impact of Zengxiang Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zengxiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zengxiang Li more than expected).

Fields of papers citing papers by Zengxiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zengxiang Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zengxiang Li. The network helps show where Zengxiang Li may publish in the future.

Co-authorship network of co-authors of Zengxiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zengxiang Li. A scholar is included among the top collaborators of Zengxiang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zengxiang Li. Zengxiang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Hao, et al.. (2024). HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 22824–22832. 3 indexed citations
2.
3.
Zhao, Yang, Jun Zhao, Linshan Jiang, et al.. (2022). Correction to “Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices” [Feb 20 1817-1829]. IEEE Internet of Things Journal. 10(1). 973–973. 3 indexed citations
4.
Zhao, Yang, Jun Zhao, Linshan Jiang, et al.. (2020). Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet of Things Journal. 8(3). 1817–1829. 410 indexed citations breakdown →
5.
Ho, Andrew Fu Wah, Kang Hao Cheong, Zengxiang Li, et al.. (2020). Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction. International Journal of Environmental Research and Public Health. 17(11). 4179–4179. 35 indexed citations
6.
Sun, Qibo, et al.. (2020). FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs. IEEE Access. 8. 122747–122756. 7 indexed citations
7.
Cai, Wentong, et al.. (2019). Efficient Parallel Simulation over Large-scale Social Contact Networks. ACM Transactions on Modeling and Computer Simulation. 29(2). 1–25. 3 indexed citations
8.
Zhang, Weiwen, Yong Liu, Long Wang, Zengxiang Li, & Rick Siow Mong Goh. (2018). Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. 763–770. 4 indexed citations
9.
Li, Zengxiang, et al.. (2018). Equality of public transit connectivity: the influence of mass rapid transit services on individual buildings for Singapore. Transportmetrica B Transport Dynamics. 7(1). 576–595. 7 indexed citations
10.
11.
Li, Zengxiang, et al.. (2017). A hybrid regression technique for house prices prediction. 319–323. 63 indexed citations
12.
Tan, Wen Jun, et al.. (2017). Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution. 65–75. 3 indexed citations
13.
14.
Li, Zengxiang, et al.. (2015). Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. Simulation Modelling Practice and Theory. 60. 90–107. 2 indexed citations
15.
Li, Zengxiang, et al.. (2014). Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. 51. 491–498. 1 indexed citations
16.
Li, Zengxiang, Wentong Cai, & Stephen John Turner. (2014). Un-identical federate replication structure for improving performance of HLA-based simulations. Simulation Modelling Practice and Theory. 48. 112–128. 4 indexed citations
17.
Li, Zengxiang, Wentong Cai, Xueyan Tang, & Suiping Zhou. (2011). Dead Reckoning-Based Update Scheduling against Message Loss for Improving Consistency in DVEs. TeesRep (Teesside University). 1–9. 5 indexed citations
18.
Li, Zengxiang, et al.. (2010). Federate Fault Tolerance in HLA-Based Simulation. 1–10. 2 indexed citations
19.
Li, Zengxiang, et al.. (2008). Improving performance by replicating simulations with alternative synchronization approaches. Winter Simulation Conference. 1112–1120. 6 indexed citations
20.
Turner, Stephen John, et al.. (2008). A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. 3. 203–211. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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