Chao‐Lie Ning

710 total citations
46 papers, 549 citations indexed

About

Chao‐Lie Ning is a scholar working on Civil and Structural Engineering, Building and Construction and Geophysics. According to data from OpenAlex, Chao‐Lie Ning has authored 46 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Civil and Structural Engineering, 18 papers in Building and Construction and 4 papers in Geophysics. Recurrent topics in Chao‐Lie Ning's work include Seismic Performance and Analysis (28 papers), Structural Behavior of Reinforced Concrete (18 papers) and Structural Health Monitoring Techniques (17 papers). Chao‐Lie Ning is often cited by papers focused on Seismic Performance and Analysis (28 papers), Structural Behavior of Reinforced Concrete (18 papers) and Structural Health Monitoring Techniques (17 papers). Chao‐Lie Ning collaborates with scholars based in China, Singapore and Hong Kong. Chao‐Lie Ning's co-authors include Bing Li, Wenqi Du, Bo Yu, Xiaohui Yu, De‐Cheng Feng, Yin Cheng, Gang Wang, Bo Yu, Shixue Liang and Jiaxing Ma and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Cement and Concrete Composites.

In The Last Decade

Chao‐Lie Ning

39 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Lie Ning China 15 521 212 43 39 22 46 549
Kristijan Kolozvari United States 16 762 1.5× 514 2.4× 26 0.6× 14 0.4× 4 0.2× 36 779
Anaxagoras Elenas Greece 9 355 0.7× 39 0.2× 29 0.7× 26 0.7× 31 1.4× 21 407
Joonam Park South Korea 10 381 0.7× 148 0.7× 20 0.5× 11 0.3× 8 0.4× 22 417
Benbo Sun China 12 414 0.8× 94 0.4× 30 0.7× 28 0.7× 3 0.1× 30 446
Akthem Al-Manaseer United States 10 350 0.7× 229 1.1× 17 0.4× 114 2.9× 5 0.2× 24 495
Ebrahim Afsar Dizaj Iran 14 590 1.1× 311 1.5× 147 3.4× 12 0.3× 10 0.5× 20 603
Huihui Dong China 12 541 1.0× 218 1.0× 18 0.4× 9 0.2× 6 0.3× 52 562
Alessandro Rasulo Italy 13 512 1.0× 270 1.3× 39 0.9× 18 0.5× 9 0.4× 26 522
Edward G. Sherwood Canada 11 759 1.5× 669 3.2× 13 0.3× 6 0.2× 8 0.4× 15 790
Christos Zeris Greece 10 476 0.9× 290 1.4× 83 1.9× 8 0.2× 8 0.4× 34 498

Countries citing papers authored by Chao‐Lie Ning

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Lie Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Lie Ning. 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 Chao‐Lie Ning. The network helps show where Chao‐Lie Ning may publish in the future.

Co-authorship network of co-authors of Chao‐Lie Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Lie Ning. A scholar is included among the top collaborators of Chao‐Lie Ning 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 Chao‐Lie Ning. Chao‐Lie Ning 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.
Zhang, Zuhua, Yingcan Zhu, Kequan Yu, et al.. (2025). Next-generation green intelligent self-sensing geopolymer composites for enhancing construction security and sustainability: A review. Composites Part B Engineering. 295. 112191–112191. 14 indexed citations
2.
Wang, Dongyu, Zuhua Zhang, Cheng Shi, et al.. (2025). Comparison study of ultra-high performance geopolymer concrete (UHPGC) and ultra-high performance concrete (UHPC): mechanical properties, durability and carbon emissions. Composites Part B Engineering. 307. 112903–112903. 8 indexed citations
3.
Yuan, Rong, et al.. (2025). Modelling Anisotropic Spatial Cross-Correlations of Multiple Ground-Motion Intensity Measures. Journal of Earthquake Engineering. 29(6). 1286–1309.
4.
Yu, Xiaohui, Zihan He, Chao‐Lie Ning, Yin Cheng, & Halûk Sucuoğlu. (2025). Efficient residual collapse capacity evaluation of mainshock-damaged RC frames under aftershocks: A back-to-back endurance time analysis method. Engineering Structures. 341. 120776–120776.
6.
Wang, Dongyu, Zuhua Zhang, Siqi Ding, et al.. (2025). Nano-structure and sensitivity of self-sensing geopolymer composites containing nano carbon black. Cement and Concrete Composites. 160. 106072–106072. 10 indexed citations
7.
Wang, Dongyu, Zuhua Zhang, Siqi Ding, et al.. (2025). Manufacturing a low-carbon geopolymer self-sensing composite for intelligent structure. Advanced Composites and Hybrid Materials. 8(5).
8.
Wang, Meng, Xiangling Gao, & Chao‐Lie Ning. (2025). Seismic fragility analysis method of building structures integrated with probabilistic seismic hazard analysis. Journal of Building Engineering. 107. 112753–112753.
9.
Bai, Yang, Chao‐Lie Ning, & Jie Li. (2024). A layer assigned probability space partition method for structural small failure probability problem. Probabilistic Engineering Mechanics. 76. 103633–103633.
11.
Ning, Chao‐Lie, et al.. (2024). Regional Seismic Damage Prediction of Buildings Based on Bayesian Network and Community Information Database: A Case Study in Shanghai. Journal of Earthquake Engineering. 28(15). 4436–4452.
12.
Ren, Hao, et al.. (2023). A hybrid approach for seismic fragility analysis of reinforced concrete structural walls independent of failure pattern. Structures. 56. 104984–104984. 2 indexed citations
13.
Ning, Chao‐Lie, et al.. (2023). PDEM-based seismic performance evaluation of circular tunnels under stochastic earthquake excitation. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 18(2). 513–525. 10 indexed citations
15.
Ma, Jiaxing, Chao‐Lie Ning, & Bing Li. (2020). Peak Shear Strength of Flanged Reinforced Concrete Squat Walls. Journal of Structural Engineering. 146(4). 17 indexed citations
16.
Ning, Chao‐Lie, Liping Wang, Yin Cheng, & Xiaohui Yu. (2020). A Simplified Framework for Seismic Fragility Assessment of Reinforced Concrete Columns under Different Failure Patterns. Journal of Earthquake Engineering. 26(9). 4635–4656. 4 indexed citations
17.
Ning, Chao‐Lie, Qunfang Hu, & Fei Wang. (2019). Mechanical-Based Approach for Operational Risk Evaluation of Water Mains in Shanghai. Journal of Pipeline Systems Engineering and Practice. 11(1). 1 indexed citations
18.
Ning, Chao‐Lie, et al.. (2019). Effective torsional stiffness of reinforced concrete structural walls. Earthquakes and Structures. 16(1). 119–127. 1 indexed citations
19.
Ning, Chao‐Lie & Bing Li. (2017). Analytical probabilistic model for shear strength prediction of reinforced concrete beams without shear reinforcement. Advances in Structural Engineering. 21(2). 171–184. 7 indexed citations
20.
Yu, Bo, Chao‐Lie Ning, & Bing Li. (2017). Probabilistic durability assessment of concrete structures in marine environments: Reliability and sensitivity analysis. China Ocean Engineering. 31(1). 63–73. 39 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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