Runchuan Xia

520 total citations
27 papers, 425 citations indexed

About

Runchuan Xia is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Runchuan Xia has authored 27 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 12 papers in Civil and Structural Engineering and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Runchuan Xia's work include Non-Destructive Testing Techniques (22 papers), Concrete Corrosion and Durability (10 papers) and Magnetic Properties and Applications (10 papers). Runchuan Xia is often cited by papers focused on Non-Destructive Testing Techniques (22 papers), Concrete Corrosion and Durability (10 papers) and Magnetic Properties and Applications (10 papers). Runchuan Xia collaborates with scholars based in China, United States and Hong Kong. Runchuan Xia's co-authors include Jianting Zhou, Hong Zhang, Leng Liao, Ruiqiang Zhao, Mao Sheng Yang, Houxuan Li, Zeyu Zhang, Zengshun Chen, Jun Yang and LI Ya and has published in prestigious journals such as Construction and Building Materials, Sensors and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Runchuan Xia

27 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runchuan Xia China 10 267 264 100 84 52 27 425
S Palit Sagar India 10 249 0.9× 136 0.5× 52 0.5× 172 2.0× 44 0.8× 40 430
Shuo Han China 11 260 1.0× 106 0.4× 12 0.1× 105 1.3× 58 1.1× 33 402
S. Lenka India 12 258 1.0× 56 0.2× 18 0.2× 80 1.0× 20 0.4× 24 352
Don E. Bray United States 9 266 1.0× 90 0.3× 12 0.1× 305 3.6× 11 0.2× 24 403
Long Yu China 10 176 0.7× 150 0.6× 9 0.1× 228 2.7× 12 0.2× 18 351
Gongtian Shen China 10 224 0.8× 76 0.3× 34 0.3× 233 2.8× 2 0.0× 50 347
Chuanjun Han China 14 229 0.9× 222 0.8× 9 0.1× 94 1.1× 5 0.1× 29 396
Philippe Guy France 11 259 1.0× 91 0.3× 8 0.1× 254 3.0× 3 0.1× 41 439
Lu Feng Yang China 11 53 0.2× 228 0.9× 10 0.1× 34 0.4× 96 1.8× 49 354
Xiaopeng Liu China 11 196 0.7× 45 0.2× 13 0.1× 115 1.4× 19 0.4× 40 331

Countries citing papers authored by Runchuan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Runchuan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runchuan Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Runchuan Xia. A scholar is included among the top collaborators of Runchuan Xia 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 Runchuan Xia. Runchuan Xia 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.
Liao, Leng, et al.. (2025). Stress identification of steel wire under tension-bending-shear coupling via resonance-enhanced magnetoelastic. NDT & E International. 154. 103369–103369. 1 indexed citations
2.
Zhou, Jianting, et al.. (2025). Investigation of resonance-enhanced magnetoelastic method in the prestress monitoring of PC structures. Engineering Structures. 333. 120147–120147. 1 indexed citations
3.
Jiang, Li Jun, et al.. (2025). Study on the method for identifying cable corrosion degree based on multi-domain magnetic characteristics considering load influence. Construction and Building Materials. 467. 140211–140211. 1 indexed citations
4.
5.
6.
Zhang, Hong, et al.. (2024). Fatigue life prediction of corroded steel wires: An accurate and explainable data-driven approach. Construction and Building Materials. 450. 138637–138637. 3 indexed citations
7.
Xia, Runchuan, et al.. (2024). Circumferential multi-point corrosion status assessment of steel cables considering self-magnetic flux leakage superposition effect. Construction and Building Materials. 449. 138315–138315. 3 indexed citations
8.
Xia, Runchuan, et al.. (2023). Experimental study of vibration effect on self-magnetic flux leakage measurement of corroded steel strands. Journal of Magnetism and Magnetic Materials. 572. 170605–170605. 1 indexed citations
9.
Zhang, Hong, et al.. (2023). Experimental Analysis of the Magnetic Leakage Detection of a Corroded Steel Strand Due to Vibration. Sensors. 23(16). 7130–7130. 4 indexed citations
10.
Zhang, Hong, et al.. (2022). A multi-dimensional evaluation of wire breakage in bridge cable based on self-magnetic flux leakage signals. Journal of Magnetism and Magnetic Materials. 566. 170321–170321. 46 indexed citations
11.
Zhang, Hong, et al.. (2022). Research on Corrosion Circumferential Area Characterization for Steel Cable Bundle Based on Metal Magnetic Memory. Journal of Materials Engineering and Performance. 31(4). 2732–2742. 5 indexed citations
12.
Xia, Runchuan, et al.. (2022). Theoretical analysis and experimental verification of magneto-mechanical effect for loaded ferromagnetic structure with initial corrosion. Journal of Magnetism and Magnetic Materials. 559. 169541–169541. 6 indexed citations
13.
Zhang, Hong, et al.. (2021). Corrosion damage evaluation of loaded steel strand based on self-magnetic flux leakage. Journal of Magnetism and Magnetic Materials. 549. 168998–168998. 14 indexed citations
14.
Xia, Runchuan, et al.. (2021). Corrosion non-destructive testing of loaded steel strand based on self-magnetic flux leakage effect. Nondestructive Testing And Evaluation. 37(1). 56–70. 26 indexed citations
15.
Xia, Runchuan, et al.. (2020). Probability evaluation method of cable corrosion degree based on self-magnetic flux leakage. Journal of Magnetism and Magnetic Materials. 522. 167544–167544. 31 indexed citations
16.
Xia, Runchuan, et al.. (2020). A Study on the Performance Evaluation of the Corroded Steel Cable by Safety Factor Based on the Strength Condition. Journal of Materials Engineering and Performance. 29(4). 2227–2234. 2 indexed citations
17.
Zhou, Jianting, et al.. (2019). The detection of corrosion of steel strands based on weak magnetic flux leakage effect of metal magnetic memory. JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING. 36(3). 260–267. 2 indexed citations
18.
Xia, Runchuan, Jianting Zhou, Hong Zhang, et al.. (2018). Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage. Sensors. 18(5). 1396–1396. 52 indexed citations
19.
Zhang, Hong, Jianting Zhou, Ruiqiang Zhao, et al.. (2017). EXPERIMENTAL STUDY ON DETECTION OF REBAR CORROSION IN CONCRETE BASED ON METAL MAGNETIC MEMORY. International Journal of Robotics and Automation. 32(5). 7 indexed citations
20.
Zhao, Ruiqiang, Hong Zhang, Jianting Zhou, Leng Liao, & Runchuan Xia. (2017). THE TESTING SCHEME FOR STEEL CORROSION IN THE REINFORCED CONCRETE VIA NEAR FIELD EFFECT OF METER-BAND WAVE. Progress In Electromagnetics Research Letters. 66. 127–134. 1 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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