Xueming Si
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
Papers in
-
- Blockchain Technology Applications and Security 20
- Cloud Data Security Solutions 4
- User Authentication and Security Systems 4
-
- IoT and Edge/Fog Computing 12
- Caching and Content Delivery 2
- Co-authors
- Yueyue Dai (6 shared papers)Yan Zhang (6 shared papers)Heng Pan (1 shared paper)Yongxin Zhu (2 shared papers)Xiaoying Zheng (1 shared paper)Qinglei Zhou (4 shared papers)Yongzhong Huang (3 shared papers)Chau Yuen (4 shared papers)
In The Last Decade
Xueming Si
31 papers receiving 329 citations
Xueming Si's Hit Papers
Peers
Comparison fields: 5 of 64
- Information Systems 170
- Artificial Intelligence 157
- Computer Networks and Communications 97
- Health Informatics 4
- Signal Processing 29
Countries citing papers authored by Xueming Si
This map shows the geographic impact of Xueming Si'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 Xueming Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueming Si more than expected).
Fields of papers citing papers by Xueming Si
This network shows the impact of papers produced by Xueming Si. 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 Xueming Si. The network helps show where Xueming Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Xueming Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated Learning With Non-IID Data: A Survey Hit paper breakdown → | 2024 | 99 |
| 2 | 2019 | 45 | |
| 3 | 2020 | 25 | |
| 4 | 2024 | 23 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 20 | |
| 7 | 2016 | 17 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Xueming Si
Xueming Si is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 39 papers that have together received 347 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (20 papers), IoT and Edge/Fog Computing (12 papers), Cryptography and Data Security (10 papers), Advanced Malware Detection Techniques (7 papers), Privacy-Preserving Technologies in Data (5 papers), Cloud Data Security Solutions (4 papers), User Authentication and Security Systems (4 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Information Systems (170 citations), Artificial Intelligence (157 citations), Computer Networks and Communications (97 citations), Health Informatics (4 citations) and Signal Processing (29 citations). Xueming Si has collaborated with scholars based in China, Norway and Singapore. Frequent co-authors include Yueyue Dai, Yan Zhang, Heng Pan, Yongxin Zhu, Xiaoying Zheng, Qinglei Zhou, Yongzhong Huang, Chau Yuen, Xiaoyan Huang and Xiangyang Wang. Their work appears in journals such as Electronics, IEEE Internet of Things Journal, Future Generation Computer Systems, Scientific Reports and IEEE Access.
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.