M. Wen

11.9k total citations
2 papers, 13 citations indexed

About

M. Wen is a scholar working on Organic Chemistry, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, M. Wen has authored 2 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Control and Systems Engineering and 1 paper in Building and Construction. Recurrent topics in M. Wen's work include Advanced Data and IoT Technologies (1 paper), Traffic control and management (1 paper) and Advanced Polymer Synthesis and Characterization (1 paper). M. Wen is often cited by papers focused on Advanced Data and IoT Technologies (1 paper), Traffic control and management (1 paper) and Advanced Polymer Synthesis and Characterization (1 paper). M. Wen collaborates with scholars based in Australia and China. M. Wen's co-authors include Li Li, Qinghai Liu, Qianbin Chen, Weng Kin Wong and Tanja Junkers and has published in prestigious journals such as Chemical Science and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

M. Wen

2 papers receiving 13 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Wen Australia	2	5	5	4	3	2	2	13
E. G. Hernandez Mexico	1	5 1.0×	3 0.6×	4 1.0×	2 0.7×		2	7
F. Temme Germany	4	5 1.0×	4 0.8×	5 1.3×	1 0.3×	3 1.5×	4	21
C R Komala India	3	9 1.8×	3 0.6×		3 1.0×	2 1.0×	14	21
Xiaohan Wang China	3	3 0.6×	5 1.0×	4 1.0×	1 0.3×	4 2.0×	5	26
V. Belavin Russia	3	5 1.0×	2 0.4×	4 1.0×		1 0.5×	5	15
D.V. Amelin Germany	3	6 1.2×	4 0.8×		3 1.0×	3 1.5×	4	22
Z. T. Sun China	3	3 0.6×	3 0.6×		3 1.0×		4	14
W. Y. Han China	2	10 2.0×	11 2.2×		2 0.7×	2 1.0×	3	18
Daniel Masny Switzerland	2	7 1.4×	5 1.0×		2 0.7×	6 3.0×	4	19
A. Alonso Spain	4	8 1.6×	3 0.6×	1 0.3×	3 1.0×	2 1.0×	7	19

Countries citing papers authored by M. Wen

Since Specialization

Citations

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

Fields of papers citing papers by M. Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Wen

This figure shows the co-authorship network connecting the top 25 collaborators of M. Wen. A scholar is included among the top collaborators of M. Wen 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 M. Wen. M. Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Wen, M., Weng Kin Wong, & Tanja Junkers. (2025). Synthesis of biodegradable vinyl copolymers via enforced regular sequence distribution from automated radical ring opening polymerisation. Chemical Science. 16(42). 19624–19631. 1 indexed citations

2.

Wen, M., et al.. (2023). Digital Twin-Enabled Efficient Federated Learning for Collision Warning in Intelligent Driving. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2573–2585. 12 indexed citations

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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