Guangchun Zhou

771 total citations
51 papers, 588 citations indexed

About

Guangchun Zhou is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanics of Materials. According to data from OpenAlex, Guangchun Zhou has authored 51 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Civil and Structural Engineering, 21 papers in Building and Construction and 9 papers in Mechanics of Materials. Recurrent topics in Guangchun Zhou's work include Structural Load-Bearing Analysis (20 papers), Structural Behavior of Reinforced Concrete (19 papers) and Structural Health Monitoring Techniques (12 papers). Guangchun Zhou is often cited by papers focused on Structural Load-Bearing Analysis (20 papers), Structural Behavior of Reinforced Concrete (19 papers) and Structural Health Monitoring Techniques (12 papers). Guangchun Zhou collaborates with scholars based in China and United Kingdom. Guangchun Zhou's co-authors include Bai Liu, Jun Shi, Yuli Dong, Muhammad Rafiq, Jun Shi, Kangkang Yang, Pengcheng Li, Yong Wang, Yi Xiong and Yuyin Wang and has published in prestigious journals such as Construction and Building Materials, Materials and Engineering Structures.

In The Last Decade

Guangchun Zhou

49 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangchun Zhou China	16	493	224	146	41	38	51	588
Charles-Darwin Annan Canada	14	689 1.4×	392 1.8×	100 0.7×	31 0.8×	78 2.1×	27	863
Xinping Li China	11	212 0.4×	100 0.4×	183 1.3×	35 0.9×	34 0.9×	33	407
Mary Beth D. Hueste United States	17	730 1.5×	315 1.4×	70 0.5×	13 0.3×	71 1.9×	60	787
Marco Zucca Italy	16	452 0.9×	173 0.8×	28 0.2×	36 0.9×	45 1.2×	47	526
Kaspar J. William United States	5	692 1.4×	397 1.8×	173 1.2×	44 1.1×	49 1.3×	9	777
Mark Aschheim United States	21	1.2k 2.4×	543 2.4×	43 0.3×	29 0.7×	61 1.6×	88	1.3k
Jan Bień Poland	14	445 0.9×	110 0.5×	77 0.5×	13 0.3×	94 2.5×	48	508
E.P. Warnke Germany	2	786 1.6×	389 1.7×	212 1.5×	56 1.4×	56 1.5×	3	898
Lucrezia Cascini Italy	15	677 1.4×	147 0.7×	60 0.4×	51 1.2×	92 2.4×	31	764
Yuguang Yang Netherlands	14	430 0.9×	237 1.1×	125 0.9×	6 0.1×	44 1.2×	55	548

Countries citing papers authored by Guangchun Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Guangchun Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangchun Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Weicheng, et al.. (2024). Applying network-free renormalization and clustering algorithms to reveal the crack evolution laws of laterally loaded composite T-joints. Engineering Fracture Mechanics. 307. 110327–110327. 4 indexed citations

Liu, Wei, et al.. (2024). Stressing state evolution characteristics of I-section CFRP laminates revealed by thermodynamic modeling. European Journal of Mechanics - A/Solids. 105. 105255–105255. 8 indexed citations

Cheng, Xin, et al.. (2024). Revealing failure loads of cyclically loaded H-steel columns from a thermodynamic perspective. Structures. 70. 107695–107695. 2 indexed citations

Zhang, Yu, et al.. (2024). Revealing the phase transition of steel frames with CFST columns during progressive collapse process from a thermodynamic perspective. Journal of Building Engineering. 90. 109448–109448. 6 indexed citations

Shan, Baohua, et al.. (2024). Flexural behavior of steel-UHPC composite beams with different connectors in negative moment. Journal of Constructional Steel Research. 216. 108617–108617.

Shan, Baohua, et al.. (2024). Stress state analysis of steel-UHPC composite beams with rubber connectors under hogging moments from energy perspective. Structures. 71. 108035–108035. 1 indexed citations

Zhang, Lingxin, et al.. (2023). The Stressing State Features of a Bottom Frame Structure Revealed from the Shaking Table Strain Data. Materials. 16(5). 1809–1809. 7 indexed citations

Zhang, Lingxin, et al.. (2023). Seismic stressing state evolution features of a FRP-BF structure revealed by modelling tested strain data. Structures. 58. 105658–105658. 8 indexed citations

Wang, Qi, et al.. (2022). Bending working law of corroded ductile iron pipe flange connections revealed by structural stressing state theory. International Journal of Pressure Vessels and Piping. 199. 104717–104717.

10.

Liu, Bai, et al.. (2022). Stressing State Analysis of SRC Column with Modeling Test and Finite Element Model Data. Applied Sciences. 12(17). 8866–8866. 11 indexed citations

11.

Liu, Bai, et al.. (2021). The Hysteretic Failure Features of Reinforced Masonry Shear Walls Revealed by Modeling Experimental Residual Strain Data. Journal of Earthquake Engineering. 26(14). 7353–7365. 16 indexed citations

12.

Liu, Bai, et al.. (2021). Hysteretic stressing state features of RCB shear walls revealed by structural stressing state theory. Case Studies in Construction Materials. 15. e00674–e00674. 11 indexed citations

13.

Shi, Jun, et al.. (2020). Essential working characteristics of concrete-filled steel tubular arch supports discovered by modeling experimental strains. Structures. 29. 806–813. 13 indexed citations

14.

Shi, Jun, et al.. (2019). STRESSING STATE CHARACTERISTICS OF REINFORCEMENT CONCRETE BOX-GIRDERS STRENGTHENED WITH CARBON FIBER REINFORCED PLASTIC. Journal of Civil Engineering and Management. 26(1). 1–13. 3 indexed citations

15.

Zhou, Guangchun, Jun Shi, Pengcheng Li, & Honghao Li. (2019). Characteristics of structural state of stress for steel frame in progressive collapse. Journal of Constructional Steel Research. 160. 444–456. 28 indexed citations

16.

Li, Rui, et al.. (2019). Modified Multi-Support Response Spectrum Analysis of Structures with Multiple Supports under Incoherent Ground Excitation. Applied Sciences. 9(9). 1744–1744. 7 indexed citations

17.

Shi, Jun, et al.. (2019). Investigation on the Failure Behavior of Engineered Cementitious Composites under Freeze-Thaw Cycles. Materials. 12(11). 1808–1808. 14 indexed citations

18.

Zhou, Guangchun, et al.. (2018). Quasi-Mechanism Method of Structural Morphogenesis Based on Self-Adapting Function of Net System. Journal of Structural Engineering. 144(11). 1 indexed citations

19.

Ren, Min, et al.. (2015). Mining Individual Behavior Pattern Based on Semantic Knowledge Discovery of Trajectory. Journal of Computing and Information Technology. 23(3). 245–245. 1 indexed citations

20.

Zhang, Yu, et al.. (2014). Method for Predicting the Failure Load of Masonry Wall Panels Based on Generalized Strain-Energy Density. Journal of Engineering Mechanics. 140(8). 24 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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