Mei‐Yee Chan

6.9k citations
140 papers · 5.9k indexed · h-index 48

Impact in

Papers in

Mei‐Yee Chan

137 papers receiving 5.8k citations

Peers

Mei‐Yee Chan
Comparison fields: 5 of 81
  • Polymers and Plastics 1.4k
  • Electrical and Electronic Engineering 4.6k
  • Materials Chemistry 3.0k
  • Organic Chemistry 1.4k
  • Electronic, Optical and Magnetic Materials 374
Replace Abhishek Kulkarni with:
Abhishek Kulkarni United States
Wei Jiang China
Zhen Cao China
Cheng‐Han Yang Taiwan
Yukihiro Yoshida Japan
Ye Tao China
Jin Chul Jung South Korea
Troy D. Manning United Kingdom
Chih‐Hao Chang Taiwan
Mei‐Yee Chan relative to Abhishek Kulkarni United States Abhishek Kulkarni's profile →
Citations per field
00.5×4.7×
Abhishek Kulkarni · 1×
Citations per year

Countries citing papers authored by Mei‐Yee Chan

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Yee Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mei‐Yee Chan, 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 Mei‐Yee Chan Line = papers co-authored together Mei‐Yee Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 202415
3 202316
4 202313
5 202213
6 202116
7 202121
8 20216
9 20217
10 202021
11 20208
12 202017
13 202035
14 2019135
15 201911
16 20197
17 201964
18 201998
19 201926
20 201828

About Mei‐Yee Chan

Mei‐Yee Chan is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry, Hardware and Architecture and Organic Chemistry, having authored 140 papers that have together received 5.9k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (107 papers), Organic Electronics and Photovoltaics (87 papers), Conducting polymers and applications (48 papers), Luminescence and Fluorescent Materials (37 papers), Nanocluster Synthesis and Applications (15 papers), Organometallic Complex Synthesis and Catalysis (10 papers), Molecular Junctions and Nanostructures (8 papers) and Interconnection Networks and Systems (8 papers). The work is most often cited by research in Polymers and Plastics (1.4k citations), Electrical and Electronic Engineering (4.6k citations), Materials Chemistry (3.0k citations), Organic Chemistry (1.4k citations) and Electronic, Optical and Magnetic Materials (374 citations). Mei‐Yee Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Vivian Wing‐Wah Yam, Shiu‐Lun Lai, Chun‐Sing Lee, Man‐Chung Tang, Keith Man‐Chung Wong, Maggie Ng, Daniel Ping‐Kuen Tsang, Man‐Keung Fung, Yi‐Chun Wong and Qing‐Xiao Tong. Their work appears in journals such as Journal of the American Chemical Society, Applied Physics Letters, Chemistry - A European Journal, Chemical Science and Chemical Physics Letters.

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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