Jianye Ching

8.5k total citations · 3 hit papers
210 papers, 6.7k citations indexed

About

Jianye Ching is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jianye Ching has authored 210 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Civil and Structural Engineering, 142 papers in Safety, Risk, Reliability and Quality and 39 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jianye Ching's work include Geotechnical Engineering and Analysis (131 papers), Geotechnical Engineering and Underground Structures (51 papers) and Geotechnical Engineering and Soil Stabilization (46 papers). Jianye Ching is often cited by papers focused on Geotechnical Engineering and Analysis (131 papers), Geotechnical Engineering and Underground Structures (51 papers) and Geotechnical Engineering and Soil Stabilization (46 papers). Jianye Ching collaborates with scholars based in Taiwan, Singapore and United States. Jianye Ching's co-authors include Kok‐Kwang Phoon, James L. Beck, Ying‐Chu Chen, Siu‐Kui Au, C. Hsein Juang, Keith Porter, Takayuki Shuku, Zhiyong Yang, Sanjay Jha and Matthew Muto and has published in prestigious journals such as The Journal of the Acoustical Society of America, Computer Methods in Applied Mechanics and Engineering and The American Journal of Gastroenterology.

In The Last Decade

Jianye Ching

204 papers receiving 6.5k citations

Hit Papers

Transitional Markov Chain Monte Carlo Method for Bayesian... 2007 2026 2013 2019 2007 2021 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianye Ching Taiwan 46 5.1k 3.6k 1.6k 1.0k 692 210 6.7k
Erik H. Vanmarcke United States 33 5.2k 1.0× 2.5k 0.7× 1.8k 1.1× 802 0.8× 558 0.8× 82 7.3k
Dániel Straub Germany 42 3.3k 0.6× 1.4k 0.4× 3.1k 2.0× 440 0.4× 949 1.4× 231 6.1k
Siu‐Kui Au Hong Kong 53 7.9k 1.5× 2.3k 0.6× 5.5k 3.6× 595 0.6× 1.7k 2.5× 181 10.8k
Zi-Jun Cao China 36 3.6k 0.7× 3.2k 0.9× 704 0.5× 1.4k 1.4× 439 0.6× 88 4.5k
Gordon A. Fenton Canada 47 7.9k 1.5× 7.3k 2.0× 827 0.5× 2.2k 2.2× 616 0.9× 156 9.1k
Kok‐Kwang Phoon Singapore 69 13.8k 2.7× 11.4k 3.1× 2.6k 1.7× 3.4k 3.3× 1.6k 2.3× 410 17.6k
Chuangbing Zhou China 59 6.5k 1.3× 4.1k 1.1× 877 0.6× 4.0k 4.0× 3.5k 5.1× 205 9.8k
George Deodatis United States 36 4.1k 0.8× 699 0.2× 2.3k 1.5× 214 0.2× 779 1.1× 112 6.0k
Alfredo H.‐S. Ang United States 21 4.5k 0.9× 849 0.2× 1.6k 1.0× 208 0.2× 606 0.9× 56 5.8k
C. Allin Cornell United States 53 17.9k 3.5× 866 0.2× 3.4k 2.2× 506 0.5× 579 0.8× 154 20.1k

Countries citing papers authored by Jianye Ching

Since Specialization
Citations

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

Fields of papers citing papers by Jianye Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianye Ching

This figure shows the co-authorship network connecting the top 25 collaborators of Jianye Ching. A scholar is included among the top collaborators of Jianye Ching 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 Jianye Ching. Jianye Ching 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.
Ching, Jianye. (2025). Introduction to CLAY/10/7490E database. 5. 100031–100031.
2.
Ching, Jianye, et al.. (2025). Probabilistic quasi-site-specific CPT-based soil classification. Canadian Geotechnical Journal. 62. 1–16.
3.
Ching, Jianye & Kok‐Kwang Phoon. (2024). Introduction to CLAY-Cc/6/6203 database. 1. 100005–100005. 3 indexed citations
4.
Leung, Yat Fai, Kok‐Kwang Phoon, Te Xiao, Takayuki Shuku, & Jianye Ching. (2024). Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 18(1). 304–313. 5 indexed citations
5.
Ching, Jianye. (2024). Bayesian Machine Learning in Geotechnical Site Characterization. 5 indexed citations
6.
Phoon, Kok‐Kwang, Jianye Ching, Xuanmei Fan, et al.. (2024). Connecting geodata to machine learning and AI. 1. 100001–100001. 4 indexed citations
7.
Ching, Jianye, et al.. (2024). Data-driven hierarchical Bayesian model for predicting wall deflections in deep excavations in clay. Computers and Geotechnics. 168. 106135–106135. 13 indexed citations
8.
Phoon, Kok‐Kwang, Takayuki Shuku, Jianye Ching, & Ikumasa Yoshida. (2023). Benchmarking Data-Driven Site Characterization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 9(2). 7 indexed citations
9.
Ou, Chang‐Yu, Kuo‐Hsin Yang, Fuchen Teng, et al.. (2023). Fundamentals of Foundation Engineering.
10.
Phoon, Kok‐Kwang & Jianye Ching. (2021). PROJECT DEEPGEO - DATA-DRIVEN 3D SUBSURFACE MAPPING. 16(2). 61–74. 18 indexed citations
11.
Stuedlein, Armin W., Taeho Bong, Jack Montgomery, Jianye Ching, & Kok‐Kwang Phoon. (2021). Effect of Densification on the Random Field Model Parameters of Liquefiable Soil and their Use in Estimating Spatially-Distributed Liquefaction-Induced Settlement. 6(4). 1–16. 2 indexed citations
12.
Phoon, Kok‐Kwang, J.V. Retief, Jianye Ching, et al.. (2016). Some observations on ISO2394:2015 Annex D (Reliability of Geotechnical Structures). Structural Safety. 62. 24–33. 74 indexed citations
13.
Ching, Jianye, et al.. (2016). SIMULATING A CURVE AVERAGE IN A STATIONARY NORMAL RANDOM FIELD USING FOURIER SERIES METHOD. 11(1). 33–43. 5 indexed citations
14.
Ching, Jianye & Hung‐Jiun Liao. (2013). A SPATIAL VARIABILITY VIEW OF FREEWAY-3 DIP SLOPE FAILURE IN TAIWAN. 8(1). 1–10. 4 indexed citations
15.
Ching, Jianye & Kok‐Kwang Phoon. (2012). Probabilistic Model for Overall Shear Strengths of Spatially Variable Soil Masses. GeoCongress 2012. 103. 2866–2875. 1 indexed citations
16.
Ching, Jianye, et al.. (2009). Observations in Reliability Analysis of a 1-D Consolidation Problem. 4(1). 19–27. 2 indexed citations
17.
Ching, Jianye, et al.. (2006). Updating Reliability of Instrumented Geotechnical Systems via Simple Monte Carlo Simulation. 1(2). 71–78. 5 indexed citations
18.
Porter, Keith, Judith Mitrani‐Reiser, James L. Beck, & Jianye Ching. (2006). Smarter Structures: Real-time Loss Estimation for Instrumented Buildings. CaltechAUTHORS (California Institute of Technology). 2998–3007. 2 indexed citations
19.
Ching, Jianye, Keith Porter, & James L. Beck. (2004). Uncertainty Propagation and Feature Selection for Loss Estimation in Performance-based Earthquake Engineering. The American Journal of Gastroenterology. 35. 42–5. 5 indexed citations
20.
Porter, Keith, et al.. (2003). Near-Real-Time Loss-Estimation for Instrumented Buildings. AGUFM. 2003. 2 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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