Shouxiao Ma

683 total citations · 1 hit paper
28 papers, 519 citations indexed

About

Shouxiao Ma is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Shouxiao Ma has authored 28 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 19 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Shouxiao Ma's work include 2D Materials and Applications (9 papers), High voltage insulation and dielectric phenomena (8 papers) and Gas Sensing Nanomaterials and Sensors (7 papers). Shouxiao Ma is often cited by papers focused on 2D Materials and Applications (9 papers), High voltage insulation and dielectric phenomena (8 papers) and Gas Sensing Nanomaterials and Sensors (7 papers). Shouxiao Ma collaborates with scholars based in China, United Kingdom and France. Shouxiao Ma's co-authors include Ying Jin, Hao Cui, Dan He, Hailong Wu, Jin Li, Dajian Li, Mingjun Zhang, Ju Tang, Zhiyuan Liu and Cheng Pan and has published in prestigious journals such as Journal of Clinical Microbiology, Physics Letters A and Nanotechnology.

In The Last Decade

Shouxiao Ma

26 papers receiving 504 citations

Hit Papers

Noble metal (Pd, Pt)-functionalized WSe2 monolayer for ad... 2025 2026 2025 20 40 60
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. Noble metal (Pd, Pt)-functionalized WSe2 monolayer for adsorbing and sensing thermal runaway gases in LIBs: A first-principles investigation
    2025 67 citations Hao Cui, Hailong Wu et al. Environmental Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouxiao Ma China 13 379 355 44 32 31 28 519
Hyeong-Jun Kim South Korea 11 114 0.3× 125 0.4× 6 0.1× 37 1.2× 4 0.1× 46 322
Seunghwan Lee South Korea 12 225 0.6× 160 0.5× 40 0.9× 112 3.5× 40 424
Hanqing Gu China 12 198 0.5× 175 0.5× 19 0.4× 75 2.3× 36 386
Xuhai Zhang China 18 96 0.3× 547 1.5× 7 0.2× 32 1.0× 5 0.2× 54 805
Yaqi Zhang China 12 357 0.9× 202 0.6× 51 1.2× 47 1.5× 35 472

Countries citing papers authored by Shouxiao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shouxiao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouxiao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shouxiao Ma. A scholar is included among the top collaborators of Shouxiao Ma 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 Shouxiao Ma. Shouxiao Ma 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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Yan, Xuefeng, et al.. (2025). Research on fault identification method of high-voltage circuit breaker based on wavelet packet dispersion entropy feature extraction. Journal of Physics Conference Series. 2935(1). 12022–12022.
4.
Cui, Hao, Hailong Wu, Dan He, & Shouxiao Ma. (2025). Noble metal (Pd, Pt)-functionalized WSe2 monolayer for adsorbing and sensing thermal runaway gases in LIBs: A first-principles investigation. Environmental Research. 269. 120847–120847. 67 indexed citations breakdown →
5.
He, Dan, et al.. (2024). Theoretical designing of Ni-doped PtSTe monolayer as a promising gas sensor upon thermal runaway gases in the Li-ion battery. Physics Letters A. 525. 129933–129933. 1 indexed citations
6.
Ma, Shouxiao, et al.. (2023). Theoretical study on the interaction between acetone and BN monolayer doped with Ni for the clinical diagnosis of diabetes mellitus. Nanotechnology. 34(44). 445102–445102. 1 indexed citations
7.
He, Dan, et al.. (2023). Favorable performance of WSe2 monolayer modified by chromium catalyst for sensing thermal runaway gases H2, CO and C2H4 using first-principles theory. Computational and Theoretical Chemistry. 1230. 114377–114377. 6 indexed citations
8.
Zhu, Li, Xiaoxing Zhang, Dajian Li, et al.. (2022). Compatibility of eco-friendly insulating medium C6F12O and sealing material NBR. AIP Advances. 12(1). 4 indexed citations
9.
Li, Dajian, et al.. (2022). Calculation of thermodynamic properties and transport parameters of C6F12O. Frontiers in Materials. 9. 4 indexed citations
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Huang, Xiaosheng, et al.. (2021). Exploration of Ni-doped BN monolayer as a promising gas sensor for air decomposed species in the high-voltage switchgears. Computational and Theoretical Chemistry. 1198. 113175–113175. 2 indexed citations
11.
Pan, Zhen, et al.. (2021). Cu-decorated ZnO monolayer as a promising gas sensor in dry-type transformers: A first-principles study. Computational and Theoretical Chemistry. 1204. 113429–113429. 9 indexed citations
12.
Li, Dajian, Xiaoxing Zhang, Lei Zhang, et al.. (2021). Experimental study on the effect of O2 on the decomposition characteristics of C6F12O/CO2 gas mixture. AIP Advances. 11(9). 1 indexed citations
13.
Li, Dajian, et al.. (2020). First-Principle Insight into the Ru-Doped PtSe2 Monolayer for Detection of H2 and C2H2 in Transformer Oil. ACS Omega. 5(49). 31872–31879. 25 indexed citations
14.
Li, Yanling, et al.. (2020). Cu-Doped MoSe2 Monolayer: A Novel Candidate for Dissolved Gas Analysis in Transformer Oil. ACS Omega. 5(47). 30603–30609. 32 indexed citations
15.
Ma, Shouxiao, et al.. (2020). Pd-doped h-BN monolayer: a promising gas scavenger for SF6 insulation devices. Adsorption. 26(4). 619–626. 50 indexed citations
16.
Ma, Shouxiao, et al.. (2019). Adsorption and Sensing Behaviors of Pd-Doped InN Monolayer upon CO and NO Molecules: A First-Principles Study. Applied Sciences. 9(16). 3390–3390. 11 indexed citations
17.
Wang, Yongjie, et al.. (2019). Small gas adsorption on Co–N4 porphyrin-like CNT for sensor exploitation: a first-principles study. Carbon letters. 30(2). 177–187. 6 indexed citations
18.
Pan, Cheng, et al.. (2018). Partial discharge and breakdown characteristics of moving transformer oil contaminated by metallic particles. IEEE Transactions on Dielectrics and Electrical Insulation. 25(5). 1774–1784. 27 indexed citations
19.
Li, Xingxing, Ju Tang, Shouxiao Ma, & Qiang Yao. (2016). The impact of temperature on the partial discharge characteristics of moving charged metal particles in transformer oil. 1–4. 8 indexed citations
20.
Tang, Ju, Shouxiao Ma, Mingjun Zhang, et al.. (2015). Influence of microbubbles motion state on partial discharge in transformer oil. IEEE Transactions on Dielectrics and Electrical Insulation. 22(5). 2646–2652. 20 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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