Meiyi Yao

910 total citations
52 papers, 734 citations indexed

About

Meiyi Yao is a scholar working on Materials Chemistry, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Meiyi Yao has authored 52 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Materials Chemistry, 14 papers in Aerospace Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Meiyi Yao's work include Nuclear Materials and Properties (38 papers), Fusion materials and technologies (24 papers) and Nuclear reactor physics and engineering (13 papers). Meiyi Yao is often cited by papers focused on Nuclear Materials and Properties (38 papers), Fusion materials and technologies (24 papers) and Nuclear reactor physics and engineering (13 papers). Meiyi Yao collaborates with scholars based in China, Australia and Japan. Meiyi Yao's co-authors include Bangxin Zhou, Jinlong Zhang, Jinlong Zhang, Liang Xue, Jiao Huang, Jianchao Peng, Qiang Li, Wenqing Liu, Yao‐Ping Xie and Tong Liu and has published in prestigious journals such as Acta Materialia, Physical Chemistry Chemical Physics and IEEE Access.

In The Last Decade

Meiyi Yao

51 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiyi Yao China 16 619 315 222 84 77 52 734
Luke Olson United States 13 594 1.0× 272 0.9× 501 2.3× 61 0.7× 49 0.6× 27 906
Zhiguang Wang China 16 443 0.7× 168 0.5× 309 1.4× 69 0.8× 49 0.6× 52 654
Hyun Gil Kim South Korea 13 927 1.5× 465 1.5× 364 1.6× 98 1.2× 66 0.9× 21 1.0k
F. Onimus France 21 1.0k 1.6× 118 0.4× 347 1.6× 174 2.1× 47 0.6× 38 1.1k
Guanghai Bai China 20 851 1.4× 538 1.7× 634 2.9× 240 2.9× 73 0.9× 43 1.2k
Chengze Liu China 18 615 1.0× 86 0.3× 479 2.2× 148 1.8× 42 0.5× 73 796
Geping Li China 17 593 1.0× 93 0.3× 479 2.2× 144 1.7× 23 0.3× 74 762
Fuzhou Han China 17 548 0.9× 83 0.3× 414 1.9× 133 1.6× 22 0.3× 69 690
D. Gan Taiwan 16 429 0.7× 201 0.6× 630 2.8× 267 3.2× 94 1.2× 43 802

Countries citing papers authored by Meiyi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Meiyi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyi Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiyi Yao. A scholar is included among the top collaborators of Meiyi Yao 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 Meiyi Yao. Meiyi Yao 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
1.
Wang, Chundong, Jie Pan, Huawei Zhang, et al.. (2025). Microstructure and mechanical evolution of FeCrAlMo-xZr fuel cladding alloys during hot corrosion. Nuclear Engineering and Technology. 57(9). 103637–103637.
2.
Yao, Meiyi, Yuan Li, Qizheng Wang, et al.. (2024). Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging. BMC Medical Imaging. 24(1). 320–320. 2 indexed citations
3.
Xie, Yao‐Ping, Meiyi Yao, Shuhui Guan, et al.. (2023). Unraveling different influences of the fraction of the tetragonal phase in oxide films on the corrosion resistance of Zr alloys from the phase transition mechanism. Physical Chemistry Chemical Physics. 25(12). 8934–8947. 3 indexed citations
4.
Wang, Qizheng, Meiyi Yao, Xinhang Song, et al.. (2023). Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning. Academic Radiology. 31(4). 1518–1527. 6 indexed citations
5.
Ouyang, Hanqiang, Fanyu Meng, Jianfang Liu, et al.. (2022). Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test. Frontiers in Oncology. 12. 814667–814667. 15 indexed citations
6.
Zheng, Jingming, Mingdun Liao, Wei Wang, et al.. (2021). Ga-doped Czochralski silicon with rear p-type polysilicon passivating contact for high-efficiency p-type solar cells. Solar Energy Materials and Solar Cells. 230. 111229–111229. 11 indexed citations
7.
Yan, Jun, et al.. (2021). Oxidation behavior of Cr-coated zirconium alloy cladding in high-temperature steam above 1200 °C. npj Materials Degradation. 5(1). 80 indexed citations
8.
Xu, Chenhao, Yao‐Ping Xie, Meiyi Yao, Lijuan Hu, & Xiaodong Lin. (2021). First-principles computational tensile tests of grain boundaries of zirconia with Cu segregation. Journal of Nuclear Materials. 560. 153498–153498. 6 indexed citations
9.
Wu, Siwei, Jian Yang, Guangming Cao, et al.. (2020). Elevating Prediction Performance for Mechanical Properties of Hot-Rolled Strips by Using Semi-Supervised Regression and Deep Learning. IEEE Access. 8. 134124–134136. 14 indexed citations
10.
Yang, Jian, Rongrong Sun, Meiyi Yao, et al.. (2019). Nb 对 Fe22Cr5Al3Mo 合金显微组织和耐腐蚀性能的影响. Acta Metallurgica Sinica. 56(3). 321–332. 3 indexed citations
11.
Yao, Meiyi, Xingwang Zhang, Keke Hou, et al.. (2019). Zr-0.75Sn-0.35Fe-0.15Cr合金在250 ℃去离子水中的初期腐蚀行为. Acta Metallurgica Sinica. 56(2). 221–230. 1 indexed citations
12.
Zhang, Haihui, Yao‐Ping Xie, Meiyi Yao, et al.. (2018). Effects of oxygen chemical potential on the anisotropy of the adsorption properties of Zr surfaces. Physical Chemistry Chemical Physics. 20(21). 14410–14419. 7 indexed citations
13.
Wang, Zhen, Bangxin Zhou, Boyang Wang, et al.. (2016). The initial oxidation of Zircaloy-4 in lithiated water under autoclave conditions as examined by TEM. Corrosion Science. 105. 141–148. 9 indexed citations
14.
Yao, Meiyi, et al.. (2016). Microstructure of Bi‐containing zirconium alloys. Rare Metals. 41(10). 3566–3573. 1 indexed citations
15.
Shi, Siqi, et al.. (2016). Lattice dynamics, thermodynamics and elastic properties of C22-Zr6FeSn2 from first-principles calculations. Journal of Nuclear Materials. 479. 461–469. 14 indexed citations
16.
Zhou, Bangxin, et al.. (2015). INVESTIGATION OF THE ANISOTROPIC GROWTH OF OXIDE LAYERS FORMED ON Zr-4 ALLOYS CORRODED IN LiOH AQUEOUS SOLUTION. Acta Metallurgica Sinica. 51(8). 993–1000. 3 indexed citations
17.
Huang, Jiao, Meiyi Yao, Liang Xue, et al.. (2015). The influence of second phase particles on the crack formation in oxide films formed on zirconium alloys. Corrosion Science. 99. 172–177. 43 indexed citations
18.
Zhang, Jinlong, Xingfei Xie, Meiyi Yao, Bangxin Zhou, & Jianchao Peng. (2014). Microstructural Characteristics of Oxide Films Grown on Zr–0.7Sn–1Nb–0.03Fe–0.2Ge Alloy Corroded in Lithiated Water at 360 °C. Oxidation of Metals. 82(5-6). 383–393. 3 indexed citations
19.
Zhou, Bangxin, Chuanming Chen, Meiyi Yao, et al.. (2014). Investigation of oxide layers formed on Zircaloy-4 coarse-grained specimens corroded at 360°C in lithiated aqueous solution. Corrosion Science. 92. 237–244. 22 indexed citations
20.
Zhu, Li, et al.. (2013). EFFECT OF Bi ADDITION ON THE CORROSION RESISTANCE OF Zr-lNb ALLOY IN DEIONIZED WATER AT 360 °C AND 18.6 MPa. ACTA METALLURGICA SINICA. 49(1). 51–51. 15 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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