Ling Ai

1.4k citations
35 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Ling Ai

35 papers receiving 1.3k citations

Ling Ai's Hit Papers

Efficient polymer solar cells employing a non-conjugated small-molecule electrolyte 2015 · 436 citations
4360+3+7Years since publication100200300400

Peers

Ling Ai
Comparison fields: 5 of 29
  • Surfaces, Coatings and Films 88
  • Electrical and Electronic Engineering 800
  • Civil and Structural Engineering 129
  • Polymers and Plastics 44
  • Molecular Medicine 12
Replace Robert S. Gurney with:
Robert S. Gurney China
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Wei Pan China
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Ling Ai relative to Robert S. Gurney China Robert S. Gurney's profile →
Citations per field
00.5×10×20×30×43×
Robert S. Gurney · 1×
Citations per year

Countries citing papers authored by Ling Ai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient polymer solar cells employing a non-conjugated small-molecule electrolyte
Hit paper breakdown →
2015436
2 2015134
3 2021132
4 2017101
5 201947
6 201947
7 201834
8 201829
9 202329
10 201226
11 201526
12 201620
13 202218
14 202017
15 201316
16 202216
17 202215
18 202314
19 201313
20 201411

About Ling Ai

Ling Ai is a scholar working on Surfaces, Coatings and Films, Electrical and Electronic Engineering, Civil and Structural Engineering, Molecular Medicine and Polymers and Plastics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (12 papers), Perovskite Materials and Applications (4 papers), Optical Coatings and Gratings (4 papers), Advanced Memory and Neural Computing (3 papers), Surface Modification and Superhydrophobicity (3 papers), Thermal Radiation and Cooling Technologies (2 papers), Hydrogels: synthesis, properties, applications (1 paper) and Organic Light-Emitting Diodes Research (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (88 citations), Electrical and Electronic Engineering (800 citations), Civil and Structural Engineering (129 citations), Polymers and Plastics (44 citations) and Molecular Medicine (12 citations). Ling Ai has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Ziyi Ge, Xinhua Ouyang, Ruixiang Peng, Xingye Zhang, Weijie Song, Yuehui Lu, Dongbo Mi, Xiang‐Long Li, Shi‐Jian Su and Ruiqin Tan. Their work appears in journals such as Solar Energy Materials and Solar Cells, ACS Applied Materials & Interfaces, Journal of Materials Chemistry C, Dyes and Pigments and Solar Energy.

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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