Mengkai Song

11 total papers · 1.4k total citations
9 papers, 872 citations indexed

About

Mengkai Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organic Chemistry. According to data from OpenAlex, Mengkai Song has authored 9 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Organic Chemistry. Recurrent topics in Mengkai Song's work include Adversarial Robustness in Machine Learning (7 papers), Privacy-Preserving Technologies in Data (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Mengkai Song is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Privacy-Preserving Technologies in Data (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Mengkai Song collaborates with scholars based in China and United States. Mengkai Song's co-authors include Zhibo Wang, Qian Wang, Hairong Qi, Zhifei Zhang, Yang Song, Ju Ren, Hao Sheng, Huyin Zhang, Alireza Rahimpour and Libing Wu and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and Journal of Materials Chemistry B.

In The Last Decade

Mengkai Song

9 papers receiving 848 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

2019 501 citations Zhibo Wang, Mengkai Song et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mengkai Song	749	120	95	93	87	9	872
Hangyu Zhu	662 0.9×	115 1.0×	85 0.9×	91 1.0×	107 1.2×	12	783
Briland Hitaj	738 1.0×	65 0.5×	60 0.6×	69 0.7×	92 1.1×	5	797
Yuxi Fan	574 0.8×	153 1.3×	132 1.4×	55 0.6×	58 0.7×	7	866
Yan Kang	806 1.1×	142 1.2×	114 1.2×	95 1.0×	76 0.9×	28	974
Vincent Bindschaedler	664 0.9×	107 0.9×	88 0.9×	47 0.5×	52 0.6×	20	767
Chandra Thapa	602 0.8×	238 2.0×	127 1.3×	82 0.9×	83 1.0×	25	907
Mehmet Emre Gürsoy	809 1.1×	75 0.6×	150 1.6×	136 1.5×	73 0.8×	34	958
Sawsan AbdulRahman	607 0.8×	217 1.8×	152 1.6×	110 1.2×	33 0.4×	7	745
Nathalie Baracaldo	864 1.2×	184 1.5×	94 1.0×	90 1.0×	47 0.5×	29	1.0k
El Mahdi El Mhamdi	679 0.9×	148 1.2×	110 1.2×	36 0.4×	41 0.5×	20	772

Countries citing papers authored by Mengkai Song

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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