Ai‐Min Ren

5.5k citations
289 papers · 4.9k · h-index 35

Impact in

Papers in

Ai‐Min Ren

278 papers receiving 4.9k citations

Peers

Ai‐Min Ren
Comparison fields: 5 of 108
  • Polymers and Plastics 912
  • Physical and Theoretical Chemistry 561
  • Materials Chemistry 2.4k
  • Electronic, Optical and Magnetic Materials 761
  • Electrical and Electronic Engineering 2.3k
Replace Karol M. Langner with:
Karol M. Langner United States
Magali Allain France
Maurice Gross France
Rajneesh Misra India
Nathan D. McClenaghan France
Hiroyuki Nakazumi Japan
Fausto Puntoriero Italy
Dario M. Bassani France
D. Venkataraman United States
Shiwei Yin China
Ai‐Min Ren relative to Karol M. Langner United States Karol M. Langner's profile →
Citations per field
00.5×1.5×1.9×
Karol M. Langner · 1×
Citations per year

Countries citing papers authored by Ai‐Min Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Min Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Min Ren. 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 Ai‐Min Ren. The network helps show where Ai‐Min Ren may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 289 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015186
2 2018173
3 2005151
4 2012116
5 2014100
6 201395
7 200491
8 200486
9 201186
10 200584
11 201279
12 200475
13 201770
14 200669
15 201264
16 200560
17 201359
18 200458
19 200558
20 200857

About Ai‐Min Ren

Ai‐Min Ren is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 289 papers that have together received 4.9k indexed citations. Recurring topics across this work include Nonlinear Optical Materials Studies (81 papers), Organic Light-Emitting Diodes Research (78 papers), Organic Electronics and Photovoltaics (71 papers), Porphyrin and Phthalocyanine Chemistry (58 papers), Luminescence and Fluorescent Materials (58 papers), Photochromic and Fluorescence Chemistry (48 papers), Nonlinear Optical Materials Research (47 papers) and Conducting polymers and applications (43 papers). The work is most often cited by research in Polymers and Plastics (912 citations), Physical and Theoretical Chemistry (561 citations), Materials Chemistry (2.4k citations), Electronic, Optical and Magnetic Materials (761 citations) and Electrical and Electronic Engineering (2.3k citations). Ai‐Min Ren has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ji‐Kang Feng, Yang Li, Xiankai Chen, Shoufeng Zhang, Luyi Zou, Jing‐Fu Guo, Jian-Xun Fan, Xin Zhou, Chia‐Chung Sun and Yuguang Ma. Their work appears in journals such as Chinese Journal of Chemistry, The Journal of Physical Chemistry A, Physical Chemistry Chemical Physics, Organic Electronics and Journal of Photochemistry and Photobiology A Chemistry.

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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