Xijun Ye

592 total citations
24 papers, 470 citations indexed

About

Xijun Ye is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xijun Ye has authored 24 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 5 papers in Mechanics of Materials and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xijun Ye's work include Structural Health Monitoring Techniques (17 papers), Concrete Corrosion and Durability (8 papers) and Structural Engineering and Vibration Analysis (6 papers). Xijun Ye is often cited by papers focused on Structural Health Monitoring Techniques (17 papers), Concrete Corrosion and Durability (8 papers) and Structural Engineering and Vibration Analysis (6 papers). Xijun Ye collaborates with scholars based in China, Hong Kong and Australia. Xijun Ye's co-authors include Chudong Pan, Junyong Zhou, Mei Liu, Yinghao Zhao, Airong Liu, Pei‐Rong Wu, Jiyang Fu, Yi Jiang, Bingcong Chen and Libin Ye and has published in prestigious journals such as Construction and Building Materials, Sensors and Journal of Alloys and Compounds.

In The Last Decade

Xijun Ye

24 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xijun Ye China 12 320 74 62 52 50 24 470
J. P. Han China 5 227 0.7× 70 0.9× 34 0.5× 9 0.2× 110 2.2× 7 405
Venkatesh Venkatesh India 13 84 0.3× 131 1.8× 84 1.4× 4 0.1× 47 0.9× 75 450
Anqi Li China 14 104 0.3× 199 2.7× 68 1.1× 3 0.1× 71 1.4× 72 514
Xiao Cai China 7 65 0.2× 33 0.4× 24 0.4× 11 0.2× 12 0.2× 31 255
Abhishek Kundu United Kingdom 14 230 0.7× 105 1.4× 46 0.7× 2 0.0× 160 3.2× 39 572
Bustanul Arifin Indonesia 9 67 0.2× 65 0.9× 69 1.1× 5 0.1× 11 0.2× 50 301
Zheng Ma China 14 179 0.6× 269 3.6× 76 1.2× 2 0.0× 23 0.5× 35 553
Lixiang Zhang China 10 81 0.3× 70 0.9× 63 1.0× 36 0.7× 62 1.2× 28 348
Rúben Silva Portugal 13 178 0.6× 118 1.6× 6 0.1× 7 0.1× 18 0.4× 29 325

Countries citing papers authored by Xijun Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xijun Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xijun Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xijun Ye. A scholar is included among the top collaborators of Xijun Ye 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 Xijun Ye. Xijun Ye 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.
Luo, Xu, et al.. (2023). Multimodal Deep Neural Network-Based Sensor Data Anomaly Diagnosis Method for Structural Health Monitoring. Buildings. 13(8). 1976–1976. 14 indexed citations
2.
Wu, Pei‐Rong, Airong Liu, Jiyang Fu, Xijun Ye, & Yinghao Zhao. (2022). Autonomous surface crack identification of concrete structures based on an improved one-stage object detection algorithm. Engineering Structures. 272. 114962–114962. 78 indexed citations
3.
Ye, Xijun, Pei‐Rong Wu, Airong Liu, et al.. (2022). A Deep Learning-Based Method for Automatic Abnormal Data Detection: Case Study for Bridge Structural Health Monitoring. International Journal of Structural Stability and Dynamics. 23(11). 23 indexed citations
4.
Ye, Xijun, Peili Huang, Chudong Pan, & Mei Liu. (2021). Innovative stabilization diagram for automated structural modal identification based on ERA and hierarchical cluster analysis. Journal of Civil Structural Health Monitoring. 11(5). 1355–1373. 25 indexed citations
5.
Ye, Xijun, et al.. (2020). Ambient Effect Filtering Using NLPCA-SVR in High-Rise Buildings. Sensors. 20(4). 1143–1143. 6 indexed citations
6.
Zhou, Junyong, et al.. (2020). Safety Assessment of Widened Bridges Considering Uneven Multilane Traffic-Load Modeling: Case Study in China. Journal of Bridge Engineering. 25(9). 14 indexed citations
7.
Cai, Xu, et al.. (2020). Estimation of shear modulus of asphalt mixture based on the shear strength of the aggregate interface. Construction and Building Materials. 248. 118695–118695. 11 indexed citations
8.
Pan, Chudong, et al.. (2020). Matrix regularization-based method for large-scale inverse problem of force identification. Mechanical Systems and Signal Processing. 140. 106698–106698. 32 indexed citations
9.
Jiang, Yi, Junyong Zhou, & Xijun Ye. (2020). Seismic Control of Cable-stayed Bridge Using Negative Stiffness Device and Fluid Viscous Damper under Near-field Ground Motions. Journal of Earthquake Engineering. 26(5). 2642–2659. 36 indexed citations
10.
Jiang, Yi, Junyong Zhou, & Xijun Ye. (2020). Seismic evaluation of cable-stayed bridges considering bearing uplift. Soil Dynamics and Earthquake Engineering. 133. 106102–106102. 10 indexed citations
11.
Ye, Xijun & Chudong Pan. (2020). Force identification under unknown initial conditions by using concomitant mapping matrix and sparse regularization. Journal of Vibration and Control. 27(13-14). 1524–1536. 6 indexed citations
12.
Chen, Zhou, et al.. (2019). A Study on a Mechanism of Lateral Pedestrian-Footbridge Interaction. Applied Sciences. 9(23). 5257–5257. 5 indexed citations
13.
Ye, Xijun, et al.. (2019). An Improved Step-Type Liquid Level Sensing System for Bridge Structural Dynamic Deflection Monitoring. Sensors. 19(9). 2155–2155. 7 indexed citations
14.
Ye, Xijun, et al.. (2018). Research on modal parameters identification of bridge structure based on adaptive signal de-noising method. Cluster Computing. 22(S6). 14377–14387. 7 indexed citations
15.
Ye, Xijun, et al.. (2018). An Integrated Machine Learning Algorithm for Separating the Long-Term Deflection Data of Prestressed Concrete Bridges. Sensors. 18(11). 4070–4070. 20 indexed citations
16.
Ye, Xijun & Bingcong Chen. (2018). Model updating and variability analysis of modal parameters for super high‐rise structure. Concurrency and Computation Practice and Experience. 31(12). 9 indexed citations
17.
18.
Ye, Xijun, et al.. (2012). Modal identification of Canton Tower under uncertain environmental conditions. Smart Structures and Systems. 10(4_5). 353–373. 15 indexed citations
19.
Ye, Xijun, et al.. (2011). Experimental Verification of Decentralized Approach for Modal Identification Based on Wireless Smart Sensor Network. Advanced materials research. 291-294. 3–11. 2 indexed citations
20.
Ye, Libin, Jingsong Zhang, Xijun Ye, et al.. (2007). Structural elucidation of the polysaccharide moiety of a glycopeptide (GLPCW-II) from Ganoderma lucidum fruiting bodies. Carbohydrate Research. 343(4). 746–752. 70 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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