Zhaoshi Meng

9 total papers · 586 total citations
6 papers, 321 citations indexed

About

Zhaoshi Meng is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Zhaoshi Meng has authored 6 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Computer Networks and Communications. Recurrent topics in Zhaoshi Meng's work include Statistical Methods and Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). Zhaoshi Meng is often cited by papers focused on Statistical Methods and Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). Zhaoshi Meng collaborates with scholars based in United States, Israel and China. Zhaoshi Meng's co-authors include Ming Zhang, XuanLong Nguyen, Qiaozhu Mei, Jian Tang, Alexander Lavin, Bhaskara Marthi, Huayan Wang, Yi Liu, Dileep George and Xinghua Lou and has published in prestigious journals such as Science, IEEE Transactions on Signal Processing and International Conference on Machine Learning.

In The Last Decade

Zhaoshi Meng

6 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Zhaoshi Meng	159	64	55	36	36	6	321
Chris K. Williams	134 0.8×	94 1.5×	20 0.4×	14 0.4×	35 1.0×	8	284
Aleks Jakulin	181 1.1×	90 1.4×	35 0.6×	9 0.3×	18 0.5×	13	365
Mark Granroth-Wilding	240 1.5×	58 0.9×	37 0.7×	29 0.8×	44 1.2×	15	341
Qing Zhu	152 1.0×	35 0.5×	39 0.7×	43 1.2×	19 0.5×	11	343
Stephan Greene	148 0.9×	78 1.2×	83 1.5×	6 0.2×	14 0.4×	6	276
Xi Chen	182 1.1×	47 0.7×	53 1.0×	7 0.2×	27 0.8×	5	323
Sergio Andrés Osuna Ramírez	119 0.7×	39 0.6×	50 0.9×	27 0.8×	25 0.7×	8	330
Cedric De Boom	136 0.9×	38 0.6×	38 0.7×	27 0.8×	25 0.7×	19	226
Chelsea Yeh	62 0.4×	172 2.7×	26 0.5×	16 0.4×	13 0.4×	6	253
Hannah Kim	158 1.0×	214 3.3×	38 0.7×	10 0.3×	46 1.3×	17	325

Countries citing papers authored by Zhaoshi Meng

Since Specialization

Citations

This map shows the geographic impact of Zhaoshi Meng'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 Zhaoshi Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoshi Meng more than expected).

Fields of papers citing papers by Zhaoshi Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhaoshi Meng. 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 Zhaoshi Meng. The network helps show where Zhaoshi Meng may publish in the future.

Co-authorship network of co-authors of Zhaoshi Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoshi Meng. A scholar is included among the top collaborators of Zhaoshi Meng 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 Zhaoshi Meng. Zhaoshi Meng 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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