Xingyi Liu

1.6k total citations · 1 hit paper
45 papers, 1.2k citations indexed

About

Xingyi Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Xingyi Liu has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 9 papers in Materials Chemistry. Recurrent topics in Xingyi Liu's work include Perovskite Materials and Applications (10 papers), 2D Materials and Applications (6 papers) and Solid-state spectroscopy and crystallography (4 papers). Xingyi Liu is often cited by papers focused on Perovskite Materials and Applications (10 papers), 2D Materials and Applications (6 papers) and Solid-state spectroscopy and crystallography (4 papers). Xingyi Liu collaborates with scholars based in China, United States and Iran. Xingyi Liu's co-authors include Dongsheng Xu, Langxing Chen, Hanlin Huang, Liang Ye, Qi Li, Hong Jiang, Yongqi Liang, Keshab K. Parhi, Xi Xu and Qi Li and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Xingyi Liu

40 papers receiving 1.2k citations

Hit Papers

Stable and Highly Efficient Photocatalysis with Lead‐Free... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingyi Liu China 15 868 774 307 99 89 45 1.2k
In-Chul Hwang South Korea 25 1.2k 1.4× 312 0.4× 298 1.0× 97 1.0× 150 1.7× 90 1.9k
Chi-Hung Chuang United States 16 596 0.7× 837 1.1× 224 0.7× 31 0.3× 69 0.8× 23 1.2k
Qin Gao China 19 558 0.6× 520 0.7× 230 0.7× 363 3.7× 103 1.2× 85 1.4k
Chao Lv China 20 442 0.5× 460 0.6× 325 1.1× 48 0.5× 54 0.6× 82 1.3k
Yuan Tian China 21 457 0.5× 576 0.7× 67 0.2× 52 0.5× 77 0.9× 81 1.3k
Pengfei Chen China 14 300 0.3× 540 0.7× 405 1.3× 113 1.1× 129 1.4× 41 1.2k
Helge S. Stein Germany 22 750 0.9× 1.0k 1.3× 455 1.5× 75 0.8× 59 0.7× 63 1.8k
Jinkyu Han United States 22 820 0.9× 901 1.2× 361 1.2× 28 0.3× 126 1.4× 72 1.5k
Haikun Liu China 36 1.5k 1.8× 2.5k 3.2× 413 1.3× 233 2.4× 87 1.0× 195 4.2k
Jiaqi Guan China 13 344 0.4× 540 0.7× 210 0.7× 60 0.6× 128 1.4× 27 926

Countries citing papers authored by Xingyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xingyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyi Liu. A scholar is included among the top collaborators of Xingyi Liu 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 Xingyi Liu. Xingyi Liu 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
2.
Garg, Muskan, et al.. (2024). MultiWD: Multi-label wellness dimensions in social media posts. Journal of Biomedical Informatics. 150. 104586–104586. 1 indexed citations
3.
Xu, Qiang, et al.. (2024). Intelligent regional subsurface prediction based on limited borehole data and interpretability stacking technique of ensemble learning. Bulletin of Engineering Geology and the Environment. 83(7). 5 indexed citations
4.
Yan, Wenying, et al.. (2024). Differential network analysis reveals the key role of the ECM-receptor pathway in α-particle-induced malignant transformation. Molecular Therapy — Nucleic Acids. 35(3). 102260–102260. 4 indexed citations
5.
Yan, Wenying, Yuqi Chen, Guang Hu, et al.. (2023). MiR-200/183 family-mediated module biomarker for gastric cancer progression: an AI-assisted bioinformatics method with experimental functional survey. Journal of Translational Medicine. 21(1). 163–163. 4 indexed citations
6.
Liu, Xingyi, Xiaowen Gao, Lin Xiong, et al.. (2023). A‐site coordinating cation engineering in zero‐dimensional antimony halide perovskites for strong self‐trapped exciton emission. SHILAP Revista de lepidopterología. 5(4). 14 indexed citations
7.
Liu, Xingyi, et al.. (2023). Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis. Interdisciplinary Sciences Computational Life Sciences. 15(4). 525–541. 7 indexed citations
8.
Liu, Xingyi, et al.. (2023). Navigating Sex-Specific Disease Dynamics in Incident Dementia. PubMed. 2023. 4065–4072.
9.
Liu, Xingyi, Jun Yin, Wei Lin, et al.. (2023). Chemical Potential-Manipulated Growth of Large-Area High-Quality 2D Boron Nitride Films by APCVD. Crystal Growth & Design. 23(11). 7789–7797.
10.
Zhang, Yu, Xingyi Liu, Jinxia Zhang, et al.. (2021). Strong Self‐Trapped Exciton Emissions in Two‐Dimensional Na‐In Halide Perovskites Triggered by Antimony Doping. Angewandte Chemie International Edition. 60(14). 7587–7592. 112 indexed citations
11.
Zhang, Yu, Xingyi Liu, Jinxia Zhang, et al.. (2021). Strong Self‐Trapped Exciton Emissions in Two‐Dimensional Na‐In Halide Perovskites Triggered by Antimony Doping. Angewandte Chemie. 133(14). 7665–7670. 13 indexed citations
12.
Liu, Xingyi, et al.. (2021). Graph learning in low dimensional space for graph convolutional networks. Multimedia Tools and Applications. 81(24). 34263–34279. 3 indexed citations
13.
Liu, Xingyi, Xi Xu, Ben Li, et al.. (2020). Tunable Dual‐Emission in Monodispersed Sb3+/Mn2+ Codoped Cs2NaInCl6 Perovskite Nanocrystals through an Energy Transfer Process. Small. 16(31). e2002547–e2002547. 136 indexed citations
14.
Liang, Zhongjie, Yu Zhu, Xingyi Liu, & Guang Hu. (2020). Role of protein-protein interactions in allosteric drug design for DNA methyltransferases. Advances in protein chemistry and structural biology. 121. 49–84. 6 indexed citations
15.
Ye, Liang, et al.. (2019). Stable and Highly Efficient Photocatalysis with Lead‐Free Double‐Perovskite of Cs2AgBiBr6. Angewandte Chemie International Edition. 58(22). 7263–7267. 357 indexed citations breakdown →
16.
Yang, Zijiang, Yongqi Liang, Liangwei Yang, et al.. (2019). SnO2‐C60 Pyrrolidine Tris‐Acid (CPTA) as the Electron Transport Layer for Highly Efficient and Stable Planar Sn‐Based Perovskite Solar Cells. Advanced Functional Materials. 29(42). 54 indexed citations
17.
Zhang, Zhenzhen, Yongqi Liang, Hanlin Huang, et al.. (2019). Stable and Highly Efficient Photocatalysis with Lead‐Free Double‐Perovskite of Cs2AgBiBr6. Angewandte Chemie. 131(22). 7341–7345. 130 indexed citations
18.
Liu, Xingyi, et al.. (2018). Computing Mathematical Functions using DNA via Fractional Coding. Scientific Reports. 8(1). 8312–8312. 26 indexed citations
19.
Cheng, Debo, Shichao Zhang, Xingyi Liu, Ke Sun, & Ming Zong. (2015). Feature selection by combining subspace learning with sparse representation. Multimedia Systems. 23(3). 285–291. 22 indexed citations
20.
Zhu, Xiaofeng, Qing Xie, Yonghua Zhu, Xingyi Liu, & Shichao Zhang. (2015). Multi-view multi-sparsity kernel reconstruction for multi-class image classification. Neurocomputing. 169. 43–49. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026