Wen‐Ming Wan

2.9k citations
74 papers · 2.6k · h-index 26

Impact in

Papers in

    • Advanced Polymer Synthesis and Characterization 26
    • Organoboron and organosilicon chemistry 19
    • Supramolecular Chemistry and Complexes 7
    • Synthetic Organic Chemistry Methods 7
    • Luminescence and Fluorescent Materials 40
    • Covalent Organic Framework Applications 9

Wen‐Ming Wan

71 papers receiving 2.6k citations

Peers

Wen‐Ming Wan
Comparison fields: 5 of 57
  • Surfaces, Coatings and Films 636
  • Organic Chemistry 2.0k
  • Biomaterials 462
  • Materials Chemistry 1.4k
  • Polymers and Plastics 428
Replace Paul G. Clark with:
Paul G. Clark United States
Emre H. Discekici United States
Bogdan Barboiu United States
S. Ramakrishnan India
Aleksandr V. Zhukhovitskiy United States
John T. Lai Canada
W. G. Skene Canada
Yasuyuki Nakamura Japan
Chern‐Hooi Lim United States
Kanji Nagai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Wen‐Ming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wen‐Ming Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wen‐Ming Wan Line = papers co-authored together Wen‐Ming Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009288
2 2011222
3 2010186
4 2018145
5 2019131
6 2010118
7 2009117
8 2007100
9 200990
10 201689
11 201083
12 201482
13 201879
14 201760
15 202251
16 200346
17 201740
18 200834
19 201530
20 201330

About Wen‐Ming Wan

Wen‐Ming Wan is a scholar working on Organic Chemistry, Materials Chemistry, Spectroscopy, Polymers and Plastics and Electrical and Electronic Engineering, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (40 papers), Advanced Polymer Synthesis and Characterization (26 papers), Organoboron and organosilicon chemistry (19 papers), Molecular Sensors and Ion Detection (16 papers), Covalent Organic Framework Applications (9 papers), Dendrimers and Hyperbranched Polymers (8 papers), Supramolecular Chemistry and Complexes (7 papers) and Synthetic Organic Chemistry Methods (7 papers). The work is most often cited by research in Surfaces, Coatings and Films (636 citations), Organic Chemistry (2.0k citations), Biomaterials (462 citations), Materials Chemistry (1.4k citations) and Polymers and Plastics (428 citations). Wen‐Ming Wan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Cai‐Yuan Pan, Xiaoli Sun, Chun‐Yan Hong, Hongli Bao, Wei‐Dong He, Frieder Jäkle, Ya‐Nan Jing, Fei Cheng, S. Li and Dongming Liu. Their work appears in journals such as Macromolecules, Polymer Chemistry, Chemical Communications, Macromolecular Rapid Communications and Chemistry - A European Journal.

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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