Xiaomei Wang

78 total papers · 5.0k total citations
39 papers, 3.3k citations indexed

About

Xiaomei Wang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Xiaomei Wang has authored 39 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Xiaomei Wang's work include Error Correcting Code Techniques (3 papers), Plant Molecular Biology Research (2 papers) and COVID-19 and Mental Health (2 papers). Xiaomei Wang is often cited by papers focused on Error Correcting Code Techniques (3 papers), Plant Molecular Biology Research (2 papers) and COVID-19 and Mental Health (2 papers). Xiaomei Wang collaborates with scholars based in China, United States and United Kingdom. Xiaomei Wang's co-authors include Changwon Son, Alec Smith, Farzan Sasangohar, Sudeep Hegde, James M. Keller, Jiankang Cao, Weibo Jiang, Wen Liu, Yongbin Wang and Xinguang Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Journal of Catalysis.

In The Last Decade

Xiaomei Wang

35 papers receiving 3.1k citations

Hit Papers

Effects of COVID-19 on Co... 2020 2026 2022 2024 2020 2020 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Xiaomei Wang 2.2k 873 675 376 335 39 3.3k
Sudeep Hegde 2.2k 1.0× 921 1.1× 703 1.0× 385 1.0× 343 1.0× 40 3.0k
Changwon Son 2.2k 1.0× 913 1.0× 674 1.0× 376 1.0× 339 1.0× 37 2.9k
Alec Smith 2.2k 1.0× 898 1.0× 702 1.0× 412 1.1× 341 1.0× 18 2.8k
Shiqiu Meng 1.7k 0.8× 516 0.6× 423 0.6× 399 1.1× 386 1.2× 53 3.5k
Yankun Sun 2.4k 1.1× 631 0.7× 768 1.1× 506 1.3× 418 1.2× 25 3.4k
Ziwei Fang 3.2k 1.5× 1.1k 1.2× 789 1.2× 556 1.5× 400 1.2× 30 4.4k
Guoqiang Hou 3.2k 1.5× 1.1k 1.2× 794 1.2× 565 1.5× 401 1.2× 41 4.6k
Mei Han 3.2k 1.5× 1.1k 1.2× 789 1.2× 556 1.5× 400 1.2× 21 4.2k
Md Mahbub Hossain 1.8k 0.9× 580 0.7× 655 1.0× 271 0.7× 297 0.9× 100 3.6k
Wenjun Cao 3.2k 1.5× 1.1k 1.2× 898 1.3× 575 1.5× 411 1.2× 23 4.4k

Countries citing papers authored by Xiaomei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Wang

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