Xiaojia Yang

1.4k total citations
35 papers, 1.1k citations indexed

About

Xiaojia Yang is a scholar working on Materials Chemistry, Metals and Alloys and Mechanical Engineering. According to data from OpenAlex, Xiaojia Yang has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 27 papers in Metals and Alloys and 15 papers in Mechanical Engineering. Recurrent topics in Xiaojia Yang's work include Hydrogen embrittlement and corrosion behaviors in metals (27 papers), Corrosion Behavior and Inhibition (27 papers) and Concrete Corrosion and Durability (14 papers). Xiaojia Yang is often cited by papers focused on Hydrogen embrittlement and corrosion behaviors in metals (27 papers), Corrosion Behavior and Inhibition (27 papers) and Concrete Corrosion and Durability (14 papers). Xiaojia Yang collaborates with scholars based in China, United States and Singapore. Xiaojia Yang's co-authors include Xiaogang Li, Cuiwei Du, Xuequn Cheng, Jinghuan Jia, Zhiyong Liu, Hongxia Wan, Dawei Zhang, Wei Li, Zibo Pei and Meihui Sun and has published in prestigious journals such as Physical review. B, Condensed matter, Construction and Building Materials and Corrosion Science.

In The Last Decade

Xiaojia Yang

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojia Yang China 16 791 559 396 329 102 35 1.1k
Boxin Wei China 20 622 0.8× 321 0.6× 291 0.7× 294 0.9× 63 0.6× 72 879
Fei Xie China 19 674 0.9× 525 0.9× 348 0.9× 362 1.1× 170 1.7× 71 954
Tianyi Zhang China 19 985 1.2× 784 1.4× 514 1.3× 498 1.5× 152 1.5× 65 1.4k
Enyinnaya Ohaeri Canada 16 797 1.0× 695 1.2× 384 1.0× 203 0.6× 179 1.8× 26 1.0k
T. Pérez Argentina 17 841 1.1× 657 1.2× 341 0.9× 391 1.2× 158 1.5× 50 1.1k
Ricardo Orozco-Cruz Mexico 12 480 0.6× 260 0.5× 157 0.4× 244 0.7× 85 0.8× 94 668
Chengxian Yin China 15 502 0.6× 354 0.6× 287 0.7× 236 0.7× 107 1.0× 57 779
A.Q. Fu China 13 653 0.8× 513 0.9× 214 0.5× 426 1.3× 57 0.6× 21 850
Guofu Ou China 19 335 0.4× 139 0.2× 358 0.9× 99 0.3× 116 1.1× 62 812

Countries citing papers authored by Xiaojia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojia Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojia Yang. A scholar is included among the top collaborators of Xiaojia Yang 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 Xiaojia Yang. Xiaojia Yang 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.
2.
Yang, Xiaojia, et al.. (2025). Atmospheric corrosion prediction of carbon steel and weathering steel based on big data technology. Corrosion Communications. 19. 63–75. 4 indexed citations
3.
Yang, Xiaojia, Qing Li, Di Xu, et al.. (2025). Study the outdoor corrosion performance of Sn- and Mo-additional low alloy steel based on big data technology. Journal of Materials Research and Technology. 35. 1950–1970. 3 indexed citations
4.
Li, Qing, et al.. (2025). Effect of rare earth elements La and Ce on corrosion resistance of low alloy steel. Journal of Materials Research and Technology. 35. 3410–3431. 5 indexed citations
5.
Ma, Hongchi, et al.. (2025). Enhancing stress corrosion cracking resistance of high-strength bolt steels through Cu and Nb microalloying. Corrosion Science. 255. 113134–113134. 2 indexed citations
6.
Pan, Yue, Baozhuang Sun, Hetian Chen, et al.. (2024). Stress corrosion cracking behavior and mechanism of 2205 duplex stainless steel under applied polarization potentials. Corrosion Science. 231. 111978–111978. 34 indexed citations
7.
Zhang, Zhihui, Gang Niu, Xiaojia Yang, et al.. (2024). Corrosion resistance behavior of enhanced passivation Cr-modified rebars and their service life prediction based on Monte Carlo simulation. Construction and Building Materials. 438. 137130–137130. 10 indexed citations
8.
Yang, Xiaojia, Jinghuan Jia, Xuan Li, et al.. (2023). Enhanced hydrogen induced stress corrosion cracking resistance of Ni-advanced weathering steel by Ni and Mn modification. Construction and Building Materials. 408. 133820–133820. 9 indexed citations
9.
Yang, Xiaojia, Xuan Li, Xiaogang Li, Cuiwei Du, & Qian Wang. (2023). Passivity study of titanium alloy TA2 in simulated seawater solution. Journal of Materials Research and Technology. 26. 4797–4812. 13 indexed citations
10.
Xu, Di, Zibo Pei, Xiaojia Yang, et al.. (2023). A Review of Trends in Corrosion-Resistant Structural Steels Research—From Theoretical Simulation to Data-Driven Directions. Materials. 16(9). 3396–3396. 11 indexed citations
11.
Yang, Xiaojia, Qing Li, Longfei Song, & Xiaogang Li. (2023). High pH-SCC mechanism investigation of novel Nb/Ce-additional X100 pipeline steel. Journal of Materials Research and Technology. 24. 488–502. 5 indexed citations
12.
Yang, Xiaojia, et al.. (2023). Corrosion resistance optimization of Sn-additional low-alloy high strength steel by data-driven identification and field exposure verification. Journal of Materials Research and Technology. 25. 3624–3641. 12 indexed citations
13.
Yang, Xiaojia, et al.. (2023). Behavior and evaluation of stress corrosion cracking of typical anchor bolt steel in simulated crevice environment. Journal of Materials Research and Technology. 25. 7430–7443. 9 indexed citations
14.
Yang, Xiaojia, et al.. (2023). Investigation of rust layer on low alloy steel with 0.40 wt% Sn in a rural atmospheric environment. Construction and Building Materials. 402. 133029–133029. 15 indexed citations
15.
16.
Fan, Lin, Zhiyong Liu, Ding Ma, et al.. (2021). Effect of Alternating Magnetic Field on Electrochemical Behavior of 316L and TA2 in Simulated Seawater. Journal of Materials Engineering and Performance. 30(12). 9377–9389. 5 indexed citations
17.
Sun, Meihui, Xiaojia Yang, Cuiwei Du, et al.. (2021). Distinct beneficial effect of Sn on the corrosion resistance of Cr–Mo low alloy steel. Journal of Material Science and Technology. 81. 175–189. 62 indexed citations
18.
Liu, Bo, Ziyu Li, Xiaojia Yang, Cuiwei Du, & Xiaogang Li. (2020). Microbiologically influenced corrosion of X80 pipeline steel by nitrate reducing bacteria in artificial Beijing soil. Bioelectrochemistry. 135. 107551–107551. 36 indexed citations
19.
Yang, Xiaojia, Menghao Liu, Xiaogang Li, & Cuiwei Du. (2020). Failure analysis of a 304 stainless steel heat exchanger in liquid sulfur recovery units. Engineering Failure Analysis. 116. 104729–104729. 33 indexed citations
20.
Yang, Xiaojia, Cuiwei Du, Hongxia Wan, Zhiyong Liu, & Xiaogang Li. (2018). Influence of sulfides on the passivation behavior of titanium alloy TA2 in simulated seawater environments. Applied Surface Science. 458. 198–209. 117 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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