Aili Wang

1.9k total citations
62 papers, 1.5k citations indexed

About

Aili Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Aili Wang has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 22 papers in Materials Chemistry and 19 papers in Polymers and Plastics. Recurrent topics in Aili Wang's work include Perovskite Materials and Applications (32 papers), Conducting polymers and applications (19 papers) and Chalcogenide Semiconductor Thin Films (18 papers). Aili Wang is often cited by papers focused on Perovskite Materials and Applications (32 papers), Conducting polymers and applications (19 papers) and Chalcogenide Semiconductor Thin Films (18 papers). Aili Wang collaborates with scholars based in China, United States and Germany. Aili Wang's co-authors include Feng Hao, Shurong Wang, Liming Ding, Xiaoyu Deng, Lisha Xie, Chengbo Li, Tingshuai Li, Zhiyuan Cao, Yong Xiang and Weike Zhu and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Advanced Energy Materials.

In The Last Decade

Aili Wang

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aili Wang China	20	1.4k	789	675	54	51	62	1.5k
Hyeon‐Dong Lee South Korea	8	891 0.6×	578 0.7×	259 0.4×	76 1.4×	62 1.2×	13	951
Clara Aranda Spain	23	2.3k 1.6×	1.3k 1.7×	1.2k 1.8×	37 0.7×	78 1.5×	35	2.4k
Yu Zhong China	15	927 0.7×	570 0.7×	390 0.6×	41 0.8×	79 1.5×	35	988
Yongli Lu United States	9	2.5k 1.8×	1.6k 2.0×	1.2k 1.8×	43 0.8×	65 1.3×	12	2.6k
Yan Fong Ng Singapore	14	1.0k 0.7×	660 0.8×	265 0.4×	20 0.4×	124 2.4×	17	1.0k
Asim Roy India	19	915 0.6×	400 0.5×	438 0.6×	54 1.0×	34 0.7×	59	1.0k
Jungwoo Heo South Korea	18	720 0.5×	312 0.4×	358 0.5×	120 2.2×	51 1.0×	38	839
Chun‐Ki Liu Hong Kong	18	1.7k 1.2×	998 1.3×	800 1.2×	128 2.4×	59 1.2×	20	1.8k
Pengjie Hang China	19	1.0k 0.7×	482 0.6×	465 0.7×	46 0.9×	24 0.5×	49	1.1k
Sunbin Deng Hong Kong	16	839 0.6×	462 0.6×	242 0.4×	127 2.4×	25 0.5×	76	923

Countries citing papers authored by Aili Wang

Since Specialization

Citations

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

Fields of papers citing papers by Aili Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aili Wang

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

All Works

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20 of 20 papers shown

Liu, Jingcheng, et al.. (2025). NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion. Neuromorphic Computing and Engineering. 5(2). 24018–24018. 1 indexed citations

Zhai, Mengde, Cheng Chen, Guixiang Li, et al.. (2025). Fluorene-Terminated π-Conjugated Spiro-Type Hole Transport Materials for Perovskite Solar Cells. ACS Energy Letters. 10(2). 915–924. 8 indexed citations

Ren, Yang, Yue Li, Yibo Xu, et al.. (2025). Inhibition of Sn (II) Oxidation Via Triacetoxyboro‐Hydride for Stable Tin‐Lead Perovskite Solar Cells. Solar RRL. 9(5). 2 indexed citations

Wang, Aili, Ching-Wen Huang, Luozheng Zhang, et al.. (2025). Understanding and mitigating interfacial defects in tin‑lead perovskites for robust photovoltaics. Coordination Chemistry Reviews. 548. 217177–217177.

Yao, Huanhuan, Miao Zhang, Ming Yin, et al.. (2025). High‐Performance 2D Dion‐Jacobson Tin Perovskite Solar Cells with Improved Charge Separation and Extraction. Small. 21(32). e2412755–e2412755. 1 indexed citations

Xing, Yingjie, Zhimin Fang, Long Luo, et al.. (2025). Surface Modification with Diaza-Crown Ether for High-Efficiency and Stable Inverted Perovskite Solar Cells. ACS Applied Materials & Interfaces. 17(14). 22090–22097. 1 indexed citations

Yang, Shuhua, et al.. (2025). Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement. 10025–10035.

Shi, Xu, Guoqing Qi, Rui Liu, et al.. (2025). Development of a novel-ionizable-lipid-based mRNA vaccine for broad protection against Streptococcus pneumoniae. Molecular Therapy — Nucleic Acids. 36(4). 102699–102699.

Xu, Linqiang, Lianqiang Xu, Yida Li, et al.. (2024). Sub-5 nm Ultrathin In₂O₃ Transistors for High-Performance and Low-Power Electronic Applications. ACS Applied Materials & Interfaces. 16(18). 23536–23543. 3 indexed citations

10.

Wang, Aili, et al.. (2024). Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. IEEE Transactions on Artificial Intelligence. 6(5). 1143–1155.

11.

Wang, Aili, et al.. (2023). A Biological Population Threshold Coding with Robust Feature Extraction and Neuronal Jitter for SNN-based Speech Recognition. 459–465.

12.

Luo, Yan, et al.. (2022). Magnesium doped spinel NiCo2O4 for improved hole extraction in efficient inverted perovskite solar cells. Materials Today Communications. 31. 103750–103750. 1 indexed citations

13.

Li, Da, et al.. (2022). STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks. Frontiers in Neuroscience. 16. 1079357–1079357. 23 indexed citations

14.

Wang, Aili, et al.. (2022). MAP-SNN: Mapping spike activities with multiplicity, adaptability, and plasticity into bio-plausible spiking neural networks. Frontiers in Neuroscience. 16. 945037–945037. 3 indexed citations

15.

Wang, Shurong, Aili Wang, & Feng Hao. (2021). Toward stable lead halide perovskite solar cells: A knob on the A/X sites components. iScience. 25(1). 103599–103599. 32 indexed citations

16.

Wang, Aili, Zhiwen Jin, Ming Cheng, Feng Hao, & Liming Ding. (2020). Advances in perovskite quantum-dot solar cells. Journal of Energy Chemistry. 52. 351–353. 12 indexed citations

17.

Wang, Aili, et al.. (2017). Digital Closed-loop Fiber Optic Gyroscopes Signal Processing System Based on DSP. DEStech Transactions on Computer Science and Engineering.

18.

Wang, Aili. (2012). An Extension Analysis on the Urban Industrial Structure. Chongqing Shifan Daxue xuebao. Ziran kexue ban. 1 indexed citations

19.

Wang, Aili, Yeye Chen, Guangchun Chen, Joongku Lee, & Chengxin Fu. (2008). Relationships and Hybridization among Smilax china and Its Affinities: Evidence from Allozyme Data. Biochemical Genetics. 46(5-6). 281–292. 2 indexed citations

20.

Wang, Aili. (2004). The Bounds of the Value-at-Risk for Functions of Dependent Risks. Systems Engineering.

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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