L.C. Guo

431 total citations
11 papers, 352 citations indexed

About

L.C. Guo is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, L.C. Guo has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Mechanics of Materials and 3 papers in Electrical and Electronic Engineering. Recurrent topics in L.C. Guo's work include Railway Engineering and Dynamics (8 papers), Mechanical stress and fatigue analysis (6 papers) and Metal Alloys Wear and Properties (3 papers). L.C. Guo is often cited by papers focused on Railway Engineering and Dynamics (8 papers), Mechanical stress and fatigue analysis (6 papers) and Metal Alloys Wear and Properties (3 papers). L.C. Guo collaborates with scholars based in China, Italy and United Kingdom. L.C. Guo's co-authors include Q.Y. Liu, Weijie Wang, Roger Lewis, Bing Yang, Minhao Zhu, W.J. Wang, Lubing Shi, Yue Hu, Enrico Meli and Andrea Rindi and has published in prestigious journals such as Sensors, Wear and IEEE Sensors Journal.

In The Last Decade

L.C. Guo

11 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.C. Guo China 9 290 233 137 47 40 11 352
E. V. Torskaya Russia 13 277 1.0× 348 1.5× 99 0.7× 11 0.2× 26 0.7× 66 434
Alexandre Mondelin France 11 326 1.1× 103 0.4× 88 0.6× 89 1.9× 44 1.1× 15 357
Ik Keun Park South Korea 9 173 0.6× 223 1.0× 40 0.3× 40 0.9× 33 0.8× 81 295
K. Ostolaza Spain 11 318 1.1× 111 0.5× 170 1.2× 57 1.2× 16 0.4× 17 364
Michael L. McGlauflin United States 4 247 0.9× 64 0.3× 112 0.8× 54 1.1× 68 1.7× 8 329
Xuming Zha China 11 226 0.8× 160 0.7× 175 1.3× 55 1.2× 38 0.9× 22 341
R. Venkatesan India 9 200 0.7× 96 0.4× 76 0.6× 87 1.9× 16 0.4× 24 262
Haibo Zhang China 13 239 0.8× 310 1.3× 65 0.5× 16 0.3× 16 0.4× 30 394
Franc Majdič Slovenia 10 279 1.0× 177 0.8× 125 0.9× 33 0.7× 8 0.2× 27 343
Marion Risbet France 16 493 1.7× 378 1.6× 353 2.6× 15 0.3× 39 1.0× 32 617

Countries citing papers authored by L.C. Guo

Since Specialization
Citations

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

Fields of papers citing papers by L.C. Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.C. Guo. 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 L.C. Guo. The network helps show where L.C. Guo may publish in the future.

Co-authorship network of co-authors of L.C. Guo

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

All Works

11 of 11 papers shown
1.
Liu, Q.Y., Haohao Ding, Maksym Spiryagin, et al.. (2023). Predicting crack initiation for rolling contact on rail having a surface indentation. Wear. 530-531. 205041–205041. 3 indexed citations
2.
Hu, Yue, L.C. Guo, M. Maiorino, et al.. (2020). Comparison of wear and rolling contact fatigue behaviours of bainitic and pearlitic rails under various rolling-sliding conditions. Wear. 460-461. 203455–203455. 73 indexed citations
3.
Zhao, X.J., L.C. Guo, Junlong Guo, et al.. (2020). Effect of spherical and ballast dents on rolling contact fatigue of rail materials. Wear. 450-451. 203254–203254. 22 indexed citations
4.
Guo, L.C., et al.. (2019). Study on wear transition mechanism and wear map of CL60 wheel material under dry and wet conditions. Wear. 426-427. 1771–1780. 25 indexed citations
5.
Hu, Yue, Chong Su, L.C. Guo, et al.. (2019). Effect of rolling direction on microstructure evolution of CL60 wheel steel. Wear. 424-425. 203–215. 21 indexed citations
6.
Guo, L.C., et al.. (2018). A prototype fatigue test for slab track subjected to the coupling action of wheel load, temperature variation, and water erosion. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 233(5). 566–579. 14 indexed citations
7.
Guo, L.C., et al.. (2017). Wear and damage transitions of two kinds of wheel materials in the rolling-sliding contact. Wear. 398-399. 79–89. 50 indexed citations
8.
Wang, Weijie, Roger Lewis, Bing Yang, et al.. (2016). Wear and damage transitions of wheel and rail materials under various contact conditions. Wear. 362-363. 146–152. 94 indexed citations
9.
Zhang, Zhiyong, Lianshan Yan, Wei Pan, et al.. (2012). Sensitivity Enhancement of Strain Sensing Utilizing a Differential Pair of Fiber Bragg Gratings. Sensors. 12(4). 3891–3900. 18 indexed citations
10.
Zhang, Zhiyong, Lianshan Yan, Wei Pan, et al.. (2012). Fiber Strain Sensor with Enhanced Sensitivity Utilizing Differential Pair of Fiber Bragg Gratings. 47. 1–3. 4 indexed citations
11.
Yan, Lianshan, Zhaoting Zhang, Ping Wang, et al.. (2010). Fiber Sensors for Strain Measurements and Axle Counting in High-Speed Railway Applications. IEEE Sensors Journal. 11(7). 1587–1594. 28 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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