Mei Chen

46 total papers · 770 total citations
19 papers, 452 citations indexed

About

Mei Chen is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Mei Chen has authored 19 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Management Science and Operations Research. Recurrent topics in Mei Chen's work include Traffic Prediction and Management Techniques (3 papers), Structural Analysis and Optimization (2 papers) and Privacy, Security, and Data Protection (2 papers). Mei Chen is often cited by papers focused on Traffic Prediction and Management Techniques (3 papers), Structural Analysis and Optimization (2 papers) and Privacy, Security, and Data Protection (2 papers). Mei Chen collaborates with scholars based in China, United States and United Kingdom. Mei Chen's co-authors include Yikai Liang, Ge Zhang, Hui Li, Bo Zhang, Keshuang Li, Rongfang Liu, Xianchun Li, Yang Liu, Guanghai Wang and Jieqiong Liu and has published in prestigious journals such as Government Information Quarterly, Communications Biology and Journal of Innovation & Knowledge.

In The Last Decade

Mei Chen

19 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Mei Chen	151	91	73	47	37	19	452
Zhichao Hao	126 0.8×	88 1.0×	64 0.9×	52 1.1×	44 1.2×	15	474
Bahjat Fakieh	131 0.9×	116 1.3×	75 1.0×	64 1.4×	29 0.8×	30	415
David Lyell	189 1.3×	107 1.2×	62 0.8×	84 1.8×	62 1.7×	21	433
Daniel Tyskbo	220 1.5×	68 0.7×	84 1.2×	78 1.7×	65 1.8×	18	422
Wiem Abdelbaki	110 0.7×	88 1.0×	55 0.8×	37 0.8×	29 0.8×	11	471
Nishita Mehta	79 0.5×	100 1.1×	49 0.7×	136 2.9×	31 0.8×	7	407
Adil Hussain Seh	41 0.3×	103 1.1×	28 0.4×	34 0.7×	39 1.1×	13	443
John Batani	55 0.4×	80 0.9×	55 0.8×	44 0.9×	87 2.4×	29	525
Marina Johnson	52 0.3×	131 1.4×	33 0.5×	36 0.8×	19 0.5×	21	460
Hal Hodson	100 0.7×	90 1.0×	40 0.5×	28 0.6×	74 2.0×	66	428

Countries citing papers authored by Mei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Mei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Chen

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