Ling Ai

1.7k total citations · 1 hit paper
53 papers, 1.5k citations indexed

About

Ling Ai is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ling Ai has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 17 papers in Polymers and Plastics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ling Ai's work include Organic Electronics and Photovoltaics (15 papers), Perovskite Materials and Applications (15 papers) and Conducting polymers and applications (15 papers). Ling Ai is often cited by papers focused on Organic Electronics and Photovoltaics (15 papers), Perovskite Materials and Applications (15 papers) and Conducting polymers and applications (15 papers). Ling Ai collaborates with scholars based in China, United States and Macao. Ling Ai's co-authors include Ziyi Ge, Xinhua Ouyang, Ruixiang Peng, Xingye Zhang, Weijie Song, Yuehui Lu, Dongbo Mi, Shi‐Jian Su, Xiang‐Long Li and Ning Dai and has published in prestigious journals such as Journal of Applied Physics, Nature Photonics and Chemical Communications.

In The Last Decade

Ling Ai

53 papers receiving 1.5k citations

Hit Papers

Efficient polymer solar cells employing a non-conjugated ... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficient polymer solar cells employing a non-conjugated small-molecule electrolyte
    2015 426 citations Ruixiang Peng, Ling Ai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Ai China 17 1.1k 655 272 149 142 53 1.5k
Chenhao Ren China 24 558 0.5× 342 0.5× 791 2.9× 151 1.0× 165 1.2× 55 1.4k
Xueke Wu China 21 494 0.4× 448 0.7× 336 1.2× 245 1.6× 365 2.6× 57 1.4k
Hye Moon Lee South Korea 19 869 0.8× 449 0.7× 289 1.1× 1.1k 7.3× 47 0.3× 44 1.7k
Xiaolong Weng China 27 683 0.6× 982 1.5× 396 1.5× 263 1.8× 343 2.4× 97 2.0k
G. Leftheriotis Greece 29 1.3k 1.1× 1.2k 1.9× 775 2.8× 164 1.1× 91 0.6× 61 2.3k
Taekyung Lim South Korea 19 491 0.4× 274 0.4× 477 1.8× 451 3.0× 148 1.0× 91 1.3k
Ji Yeong Lee South Korea 20 940 0.8× 554 0.8× 973 3.6× 323 2.2× 120 0.8× 34 1.8k
Rashid Dallaev Czechia 17 388 0.3× 202 0.3× 305 1.1× 378 2.5× 26 0.2× 47 1.1k
Francesco Di Franco Italy 23 527 0.5× 139 0.2× 916 3.4× 128 0.9× 158 1.1× 89 1.5k
Zhiwen Long China 17 341 0.3× 106 0.2× 186 0.7× 223 1.5× 154 1.1× 32 850

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-authorship network of co-authors of Ling Ai

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

All Works

20 of 20 papers shown
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Chen, Xiaomei, et al.. (2024). Silane Doping for Efficient Flexible Perovskite Solar Cells with Improved Defect Passivation and Device Stability. ACS Applied Materials & Interfaces. 16(18). 23668–23676. 4 indexed citations
4.
Fan, Xi, Jinzhao Wang, Jia Li, et al.. (2024). 18.62%‐Efficiency Binary Organic Solar Cells with a PEDOT1:PSS2.80 Buffer Layer. Advanced Optical Materials. 12(15). 6 indexed citations
5.
Ai, Ling, et al.. (2023). Non-associative learning behavior in mixed proton and electron conductor hybrid pseudo-diode. Journal of Material Science and Technology. 160. 204–213. 8 indexed citations
6.
Zhang, Xinxin, Ziqi Tian, Xiang He, et al.. (2023). Soluble perinone isomers as electron transport materials for p–i–n perovskite solar cells. Chemical Communications. 59(39). 5874–5877. 5 indexed citations
7.
Tian, Fei, Ling Ai, Xiaojing Zhou, et al.. (2023). Investigation on Nurses’ Willingness to “Internet + Nursing Service” and Analysis of Influencing Factors. Journal of Multidisciplinary Healthcare. Volume 16. 251–260. 12 indexed citations
8.
Ai, Ling, et al.. (2023). Review on Hydrophobic Thin Films Prepared Using Magnetron Sputtering Deposition. Materials. 16(10). 3764–3764. 23 indexed citations
9.
Ai, Ling, et al.. (2023). Mechanically Robust Hybrid Coatings for Antifogging, Antireflection, and Self‐Cleaning Applications. Advanced Materials Interfaces. 10(18). 14 indexed citations
10.
Ai, Ling, Yingying Yang, & Qi Wang. (2023). The effects of different navigational aids on wayfinding and spatial memory for older adults.. Psychology and Aging. 38(7). 670–683. 1 indexed citations
11.
Ai, Ling, et al.. (2022). UV-cured organic–inorganic composites for highly durable and flexible antireflection coatings. Applied Surface Science. 584. 152600–152600. 14 indexed citations
12.
Ai, Ling, Jingyuan Li, Ting Ye, Wenjun Wang, & Yuying Li. (2022). Progressive neuroendocrine tumor of lung with combined categories in metastatic site: a case report. Translational Cancer Research. 11(7). 2438–2442. 1 indexed citations
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Wan, Juanyong, Yonggao Xia, Junfeng Fang, et al.. (2021). Solution-Processed Transparent Conducting Electrodes for Flexible Organic Solar Cells with 16.61% Efficiency. Nano-Micro Letters. 13(1). 44–44. 117 indexed citations
15.
Xu, Yunfei, Jing Zhang, Ling Ai, et al.. (2020). Fabrication of mesoporous double-layer antireflection coatings with near-neutral color and application in crystalline silicon solar modules. Solar Energy. 201. 149–156. 14 indexed citations
16.
Li, Xiao, Ling Ai, Jing Zhang, et al.. (2018). Transparent Antifogging Materials. Huaxue jinzhan. 30(6). 864. 1 indexed citations
17.
Lu, Yuehui, Zhicheng Chen, Ling Ai, et al.. (2017). A Universal Route to Realize Radiative Cooling and Light Management in Photovoltaic Modules. Solar RRL. 1(10). 92 indexed citations
18.
Liu, Zhi‐Yang, et al.. (2015). Enhanced high-open circuit voltage in fluorinated benzoselenadiazole-based polymer solar cells. High Performance Polymers. 28(4). 401–410. 3 indexed citations
19.
Liu, Ying, Zhiyang Liu, Hao Luo, et al.. (2014). Benzothieno[2,3-b]thiophene semiconductors: synthesis, characterization and applications in organic field-effect transistors. Journal of Materials Chemistry C. 2(41). 8804–8810. 10 indexed citations
20.
Wen, Ke, et al.. (2009). Calcium influx-dependent differential actions of superoxide and hydrogen peroxide on microvessel permeability. American Journal of Physiology-Heart and Circulatory Physiology. 296(4). H1096–H1107. 16 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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