Mengkai Song
- Artificial Intelligence top 2%
- Computer Networks and Communications top 10%
- Computer Science Applications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Topics
- Adversarial Robustness in Machine Learning (7 papers)Privacy-Preserving Technologies in Data (3 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Internet of Things JournalJournal of Materials Chemistry B
- Partner nations
- ChinaUnited States
In The Last Decade
Mengkai Song
9 papers receiving 867 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 765
- Computer Networks and Communications 122
- Computer Science Applications 95
- Electrical and Electronic Engineering 95
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Mengkai Song
This map shows the geographic impact of Mengkai Song'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 Mengkai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengkai Song more than expected).
Fields of papers citing papers by Mengkai Song
This network shows the impact of papers produced by Mengkai Song. 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 Mengkai Song. The network helps show where Mengkai Song may publish in the future.
Co-authorship network of co-authors of Mengkai Song
This figure shows the co-authorship network connecting the top 25 collaborators of Mengkai Song. A scholar is included among the top collaborators of Mengkai Song 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 Mengkai Song. Mengkai Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 18 | |
| 3 | 194 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 35 | |
| 7 | 39 | |
| 8 | Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learningbreakdown → | 507 |
| 9 | 35 |
About Mengkai Song
Mengkai Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 890 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Privacy-Preserving Technologies in Data (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (765 citations), Computer Science Applications (95 citations) and Health Informatics (20 citations). Mengkai Song has collaborated with scholars based in China and United States. Frequent co-authors include Zhibo Wang, Qian Wang, Hairong Qi, Zhifei Zhang, Yang Song, Ju Ren, Hao Sheng, Huyin Zhang, Alireza Rahimpour and Kui Ren. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and Journal of Materials Chemistry B.
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.