Wang‐Ji Yan
About
Wang‐Ji Yan is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanics of Materials.
According to data from OpenAlex, Wang‐Ji Yan has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Civil and Structural Engineering, 22 papers in Statistics, Probability and Uncertainty and 16 papers in Mechanics of Materials. Recurrent topics in Wang‐Ji Yan's work include Structural Health Monitoring Techniques (49 papers), Probabilistic and Robust Engineering Design (21 papers) and Ultrasonics and Acoustic Wave Propagation (15 papers). Wang‐Ji Yan is often cited by papers focused on Structural Health Monitoring Techniques (49 papers), Probabilistic and Robust Engineering Design (21 papers) and Ultrasonics and Acoustic Wave Propagation (15 papers). Wang‐Ji Yan collaborates with scholars based in China, Macao and Hong Kong. Wang‐Ji Yan's co-authors include Ka‐Veng Yuen, Lambros S. Katafygiotis, Wei‐Xin Ren, Wei‐Xin Ren, Zechao Wang, Zude Zhou, Shing Shin Cheng, Qin Wei, Han Song and Mingyao Liu and has published in prestigious journals such as International Journal of Hydrogen Energy, Computer Methods in Applied Mechanics and Engineering and Journal of Sound and Vibration.
In The Last Decade
Wang‐Ji Yan
61 papers receiving 1.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wang‐Ji Yan China | 19 | 1.1k | 473 | 467 | 391 | 291 | 67 | 1.8k | ||
| Shaohua Tian China | 21 | 801 0.8× | 471 1.0× | 623 1.3× | 511 1.3× | 165 0.6× | 68 | 1.7k | ||
| Baijie Qiao China | 25 | 1.0k 1.0× | 816 1.7× | 1.1k 2.3× | 692 1.8× | 192 0.7× | 102 | 2.2k | ||
| Zhu Mao United States | 25 | 1.1k 1.0× | 497 1.1× | 439 0.9× | 582 1.5× | 157 0.5× | 75 | 2.2k | ||
| Christof Devriendt Belgium | 26 | 1.8k 1.7× | 534 1.1× | 674 1.4× | 567 1.5× | 295 1.0× | 124 | 2.3k | ||
| Cecilia Surace Italy | 27 | 2.0k 1.9× | 1.1k 2.2× | 738 1.6× | 475 1.2× | 233 0.8× | 136 | 2.6k | ||
| Nicholas A J Lieven United Kingdom | 19 | 948 0.9× | 325 0.7× | 368 0.8× | 288 0.7× | 209 0.7× | 60 | 1.4k | ||
| Raimondo Betti United States | 31 | 2.0k 1.9× | 754 1.6× | 576 1.2× | 551 1.4× | 276 0.9× | 120 | 2.5k | ||
| V. Ho-Huu Vietnam | 23 | 1.0k 0.9× | 692 1.5× | 204 0.4× | 158 0.4× | 225 0.8× | 47 | 1.8k | ||
| Shamim N. Pakzad United States | 24 | 1.9k 1.8× | 375 0.8× | 545 1.2× | 178 0.5× | 162 0.6× | 94 | 2.9k | ||
| Semyung Wang South Korea | 24 | 967 0.9× | 474 1.0× | 366 0.8× | 283 0.7× | 257 0.9× | 136 | 2.1k |
Countries citing papers authored by Wang‐Ji Yan
Since
Specialization
Citations
This map shows the geographic impact of Wang‐Ji Yan'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 Wang‐Ji Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang‐Ji Yan more than expected).
Fields of papers citing papers by Wang‐Ji Yan
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Wang‐Ji Yan. 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 Wang‐Ji Yan. The network helps show where Wang‐Ji Yan may publish in the future.
Co-authorship network of co-authors of Wang‐Ji Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Ji Yan. A scholar is included among the top collaborators of Wang‐Ji Yan 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 Wang‐Ji Yan. Wang‐Ji Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kuok, Sin‐Chi, S. Yao, Ka‐Veng Yuen, Wang‐Ji Yan, & Mark Girolami. (2025). Bayesian generative kernel Gaussian process regression. Mechanical Systems and Signal Processing. 227. 112395–112395.
2.
Peng, Kang, Wangbao Zhou, Lizhong Jiang, Lijun Xiong, & Wang‐Ji Yan. (2025). Multimodal fusion hybrid neural network approach for multi-class damage classification in high-speed rail track-bridge systems with multi-parameter. Engineering Structures. 328. 119710–119710.
3.
Yan, Wang‐Ji, et al.. (2025). Learning non-stationary model of prediction errors with hierarchical Bayesian modeling. Reliability Engineering & System Safety. 260. 111012–111012.
4.
Yan, Wang‐Ji, et al.. (2025). Uncertainty-Aware Structural Anomaly Detection under Varying Environmental Conditions Based on Bayesian Nonparametric Density Estimation–Guided Probabilistic Damage Index. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 11(2).
5.
Zeng, Jice & Wang‐Ji Yan. (2025). High-Dimensional Bayesian inference for model updating with neural likelihood approximator powered by dimensionality-reducing flow-based generative model. Mechanical Systems and Signal Processing. 231. 112688–112688.
6.
Yan, Wang‐Ji, et al.. (2025). Enhancing high-dimensional probabilistic model updating: A generic generative model-inspired framework with GAN-embedded implementation. Computer Methods in Applied Mechanics and Engineering. 445. 118190–118190.
7.
Zhang, Yuntai, Wang‐Ji Yan, Lizhong Jiang, Ka‐Veng Yuen, & Wangbao Zhou. (2025). Post-earthquake residual track irregularities prediction using wavelet-packet-transformation-powered domain adaptive neural network. Engineering Applications of Artificial Intelligence. 159. 111695–111695.
8.
Yan, Wang‐Ji, et al.. (2025). DR-PDE-Net: A time-varying inverse multi-physics-informed neural network paradigm for solving dimension-reduced probability density evolution equation in noisy data regimes. Computer Methods in Applied Mechanics and Engineering. 442. 118059–118059.
9.
Feng, Zhouquan, et al.. (2025). Bayesian Approach for Damping Identification of Stay Cables Under Vortex‐Induced Vibrations. Structural Control and Health Monitoring. 2025(1).
10.
Yan, Wang‐Ji, et al.. (2025). Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors. Reliability Engineering & System Safety. 268. 111944–111944.
11.
Jia, Xinyu, et al.. (2025). Analytical hierarchical Bayesian modeling framework for model updating and uncertainty propagation utilizing frequency response function data. Computer Methods in Applied Mechanics and Engineering. 447. 118341–118341.
12.
Yan, Wang‐Ji, et al.. (2025). DPGIIL: Dirichlet process-deep generative model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection. Advanced Engineering Informatics. 69. 103926–103926.
13.
Yan, Wang‐Ji, et al.. (2024). Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients. Mechanical Systems and Signal Processing. 220. 111683–111683.
14.
Feng, Zhouquan, et al.. (2024). Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response. Engineering Structures. 315. 118477–118477.
15.
Yan, Wang‐Ji, et al.. (2024). Element-wise parallel deep learning for structural distributed damage diagnosis by leveraging physical properties of long-gauge static strain transmissibility under moving loads. Mechanical Systems and Signal Processing. 220. 111680–111680.
16.
Yan, Wang‐Ji, et al.. (2024). Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel. Computer Methods in Applied Mechanics and Engineering. 433. 117490–117490.
17.
Yan, Wang‐Ji, et al.. (2024). StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems. Mechanical Systems and Signal Processing. 220. 111623–111623.
18.
Yan, Wang‐Ji, et al.. (2023). Quantification of Statistical Error in the Estimate of Strain Power Spectral Density Transmissibility for Operational Strain Modal Analysis. Structural Control and Health Monitoring. 2023. 1–23.
19.
Zhang, Wenjing, Ka‐Veng Yuen, & Wang‐Ji Yan. (2023). Active learning aided Bayesian nonparametric general regression for model updating using modal data. Mechanical Systems and Signal Processing. 204. 110830–110830.
20.
Jia, Xinyu, et al.. (2023). A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes. Mechanical Systems and Signal Processing. 208. 110968–110968.
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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