Xingyan Shao

528 total citations · 2 hit papers
17 papers, 354 citations indexed

About

Xingyan Shao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Xingyan Shao has authored 17 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 7 papers in Materials Chemistry. Recurrent topics in Xingyan Shao's work include Gas Sensing Nanomaterials and Sensors (15 papers), Advanced Chemical Sensor Technologies (7 papers) and Analytical Chemistry and Sensors (4 papers). Xingyan Shao is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (15 papers), Advanced Chemical Sensor Technologies (7 papers) and Analytical Chemistry and Sensors (4 papers). Xingyan Shao collaborates with scholars based in China. Xingyan Shao's co-authors include Dongzhi Zhang, Mingcong Tang, Hao Zhang, Peilin Jia, Qingdong Chen, Zihu Wang, Kangshuai Li, Zhenyuan Xu, Hao Zhang and Yan Dong and has published in prestigious journals such as Coordination Chemistry Reviews, Chemical Engineering Journal and International Journal of Hydrogen Energy.

In The Last Decade

Xingyan Shao

17 papers receiving 345 citations

Hit Papers

Amorphous Ag catalytic layer-SnO2 sensitive layer-graphit... 2024 2026 2025 2024 2024 25 50 75
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. Amorphous Ag catalytic layer-SnO2 sensitive layer-graphite carbon nitride electron supply layer synergy-enhanced hydrogen gas sensor
    2024 97 citations Xingyan Shao, Dongzhi Zhang et al. Chemical Engineering Journal profile →
  2. An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers
    2024 65 citations Zihu Wang, Yan Dong et al. npj Flexible Electronics profile →

Peers

Xingyan Shao
Xiaohui Duan China
Xianhui Dong China
Linchao Sun China
Wangwang Guan China
Bingji Wang China
Xi Tan China
Suparat Singkammo Thailand
Yu Yuan China
Xiaohui Duan China
Xingyan Shao
Citations per year, relative to Xingyan Shao Xingyan Shao (= 1×) peers Xiaohui Duan

Countries citing papers authored by Xingyan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Xingyan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyan Shao

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

All Works

17 of 17 papers shown
1.
Liu, Zongwei, et al.. (2025). A high sensitivity and fast response methane sensor based on SnO2/Zn2SnO4 nanocomposite for lithium-ion battery fault detection. Journal of Alloys and Compounds. 1037. 182282–182282. 1 indexed citations
2.
Zhang, Yong, et al.. (2025). Hydrogen Sensor for LIB Thermal Runaway Based on Ag-Bi-Modified Co3O4 Nanosheets: Experimental and DFT Calculation. IEEE Sensors Journal. 25(8). 12599–12608. 2 indexed citations
3.
Shao, Xingyan, et al.. (2025). Recent advances in semiconductor gas sensors for thermal runaway early-warning monitoring of lithium-ion batteries. Coordination Chemistry Reviews. 535. 216624–216624. 11 indexed citations
4.
Shao, Xingyan, et al.. (2024). Amorphous Ag catalytic layer-SnO2 sensitive layer-graphite carbon nitride electron supply layer synergy-enhanced hydrogen gas sensor. Chemical Engineering Journal. 495. 153676–153676. 97 indexed citations breakdown →
5.
Zhang, Dongzhi, et al.. (2024). Ultra-sensitive sensor for hydrogen detection in transformer oil based on TiO2 quantum dots-modified spindle-shaped multilateral CeO2 rods. International Journal of Hydrogen Energy. 100. 1107–1119. 2 indexed citations
6.
Jia, Peilin, et al.. (2024). High-efficient and selective hydrogen gas sensor based on bimetallic Ag/Cu nanoparticles decorated on In2O3: Experimental and DFT calculation. International Journal of Hydrogen Energy. 101. 15–25. 11 indexed citations
7.
Guo, Jingyu, et al.. (2024). A Room Temperature Trimethylamine Gas Sensor Based on Electrospinned Molybdenum Oxide Nanofibers/Ti3C2Tx MXene Heterojunction. Nanomaterials. 14(6). 537–537. 19 indexed citations
8.
Wang, Zihu, Yan Dong, Xingyan Shao, et al.. (2024). An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers. npj Flexible Electronics. 8(1). 65 indexed citations breakdown →
9.
Zhou, Lanjuan, et al.. (2024). NO2 Sensor Based on WS2/SnSe2 Heterojunction Microflowers. ACS Applied Nano Materials. 7(12). 14780–14786. 5 indexed citations
10.
Zhang, Dongzhi, et al.. (2024). Construction of ultra-sensitive hydrogen sensor based on two phases In2O3 nanoparticles modified by regular dodecahedral ZnO. Sensors and Actuators B Chemical. 420. 136422–136422. 11 indexed citations
11.
Zhou, Lanjuan, et al.. (2024). High-performance SO2 gas sensor based on MXene/LaFeO3 nanotubes by electrospinning technology. Journal of Materials Science Materials in Electronics. 35(19). 9 indexed citations
12.
13.
Tang, Mingcong, Dongzhi Zhang, Yuehang Sun, et al.. (2023). CVD-fabricated Co3O4-Co3S4 heterojunction for ultra-sensitive detection of CO in SF6 discharge decomposition products. Sensors and Actuators B Chemical. 401. 134968–134968. 30 indexed citations
14.
Shao, Xingyan, Tingting Liu, Jiancheng Liu, et al.. (2022). Loading uniform Ag3PO4 nanoparticles on three-dimensional peony-like WO3 for good stability and excellent selectivity towards NH3 at room temperature. Chinese Physics B. 32(8). 80703–80703. 4 indexed citations
15.
Shao, Xingyan, Shuo Wang, Tingting Liu, et al.. (2021). Improvement of Gas Sensing of Uniform Ag 3 PO 4 Nanoparticles to NH 3 under the Assistant of LED Lamp with Low Power Consumption at Room Temperature. ChemistrySelect. 6(32). 8338–8344. 4 indexed citations
16.
Wang, Shuo, Fuchao Jia, Parveen Kumar, et al.. (2020). Hierarchical porous boron nitride nanosheets with versatile adsorption for water treatment. Colloids and Surfaces A Physicochemical and Engineering Aspects. 598. 124865–124865. 24 indexed citations
17.
Jia, Fuchao, Shuo Wang, Xingyan Shao, et al.. (2020). The nano-composite of Co-doped g-C3N4 and ZnO sensors for the rapid detection of BTEX gases: stability studies and gas sensing mechanism. Journal of Materials Science. 56(8). 5041–5052. 18 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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