Da Teng

457 total citations
21 papers, 319 citations indexed

About

Da Teng is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Da Teng has authored 21 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 11 papers in Mechanics of Materials and 5 papers in Computational Theory and Mathematics. Recurrent topics in Da Teng's work include Probabilistic and Robust Engineering Design (17 papers), Fatigue and fracture mechanics (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Da Teng is often cited by papers focused on Probabilistic and Robust Engineering Design (17 papers), Fatigue and fracture mechanics (9 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Da Teng collaborates with scholars based in China, Iran and India. Da Teng's co-authors include Yunwen Feng, Cheng Lu, Cheng‐Wei Fei, Behrooz Keshtegar, Jiaqi Liu, Cheng Lu, Osman Taylan, Tengpeng Chen, Han Li and Nianyin Zeng and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Mechanical Systems and Signal Processing and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Da Teng

19 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Teng China 11 187 105 78 65 58 21 319
Zhiyuan Lv China 7 209 1.1× 121 1.2× 87 1.1× 78 1.2× 108 1.9× 13 428
Huacong Li China 13 176 0.9× 129 1.2× 125 1.6× 146 2.2× 155 2.7× 63 511
Jinhui Wu China 9 260 1.4× 83 0.8× 111 1.4× 97 1.5× 54 0.9× 18 388
Haodong Zhao China 9 128 0.7× 40 0.4× 82 1.1× 48 0.7× 50 0.9× 36 295
Lü Zhenzhou China 11 318 1.7× 100 1.0× 169 2.2× 31 0.5× 26 0.4× 37 408
Thiagarajan Krishnamurthy United States 8 104 0.6× 90 0.9× 94 1.2× 20 0.3× 68 1.2× 20 314
Lixiong Cao China 14 334 1.8× 100 1.0× 259 3.3× 83 1.3× 78 1.3× 28 529
Chuang Xiong China 9 370 2.0× 90 0.9× 218 2.8× 30 0.5× 81 1.4× 12 506
Shui Yu China 14 424 2.3× 128 1.2× 180 2.3× 41 0.6× 69 1.2× 23 536
Sekhar Tangirala United States 9 58 0.3× 81 0.8× 38 0.5× 118 1.8× 69 1.2× 24 366

Countries citing papers authored by Da Teng

Since Specialization
Citations

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

Fields of papers citing papers by Da Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Da Teng. A scholar is included among the top collaborators of Da Teng 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 Da Teng. Da Teng 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.
Feng, Yunwen, et al.. (2025). Enhanced embedding surrogate modeling method of interactive components reliability evaluation for nose wheel steering mechanism. Reliability Engineering & System Safety. 262. 111237–111237.
2.
Lu, Cheng, Yunwen Feng, Cheng‐Wei Fei, & Da Teng. (2025). Dimensional synchronous modeling-based enhanced Kriging algorithm and adaptive Copula method for multi-objective synthetical reliability analyses. Chinese Journal of Aeronautics. 38(9). 103652–103652. 1 indexed citations
3.
Teng, Da, et al.. (2024). Vectorial generative adversarial surrogate modeling reliability evaluation framework for engineering structural systems. Reliability Engineering & System Safety. 247. 110076–110076. 8 indexed citations
4.
Feng, Yunwen, et al.. (2024). Selective transmit modeling framework of complex system reliability analysis considering failure correlation. Engineering Failure Analysis. 158. 107957–107957. 5 indexed citations
5.
Lu, Cheng, Yunwen Feng, & Da Teng. (2024). EMR-SSM: Synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation. Computer Methods in Applied Mechanics and Engineering. 421. 116812–116812. 12 indexed citations
6.
Teng, Da, et al.. (2024). Intelligent vectorial surrogate modeling framework for multi-objective reliability estimation of aerospace engineering structural systems. Chinese Journal of Aeronautics. 37(12). 156–173. 4 indexed citations
7.
Teng, Da, et al.. (2023). Multi-polynomial chaos Kriging-based adaptive moving strategy for comprehensive reliability analyses. Reliability Engineering & System Safety. 241. 109657–109657. 13 indexed citations
8.
Lu, Cheng, et al.. (2023). Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation. Reliability Engineering & System Safety. 234. 109148–109148. 33 indexed citations
9.
Feng, Yunwen, et al.. (2023). Support vector machines-based pre-calculation error for structural reliability analysis. Engineering With Computers. 40(1). 477–491. 7 indexed citations
10.
Liu, Jiaqi, et al.. (2023). Operational reliability evaluation and analysis framework of civil aircraft complex system based on intelligent extremum machine learning model. Reliability Engineering & System Safety. 235. 109218–109218. 23 indexed citations
11.
Lu, Cheng, et al.. (2023). Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk. Mechanical Systems and Signal Processing. 190. 110136–110136. 24 indexed citations
12.
Feng, Yunwen, et al.. (2023). Fault logic and data-driven model for operation reliability analysis of the flap deflection angle. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2260). 20220385–20220385. 4 indexed citations
13.
Teng, Da, et al.. (2023). Generative adversarial surrogate modeling framework for aerospace engineering structural system reliability design. Aerospace Science and Technology. 144. 108781–108781. 17 indexed citations
14.
Feng, Yunwen, et al.. (2022). Distance self-attention network method for remaining useful life estimation of aeroengine with parallel computing. Reliability Engineering & System Safety. 225. 108636–108636. 51 indexed citations
15.
Teng, Da, et al.. (2022). Intelligent moving extremum weighted surrogate modeling framework for dynamic reliability estimation of complex structures. Engineering Failure Analysis. 138. 106364–106364. 18 indexed citations
16.
Teng, Da, et al.. (2022). Structural dynamic reliability analysis: review and prospects. International Journal of Structural Integrity. 13(5). 753–783. 55 indexed citations
17.
Feng, Yunwen, et al.. (2022). Support vector machine-based similarity selection method for structural transient reliability analysis. Reliability Engineering & System Safety. 223. 108513–108513. 24 indexed citations
18.
Teng, Da, et al.. (2021). Novel Kriging-Based Decomposed-Coordinated Approach for Estimating the Clearance Reliability of Assembled Structures. Computer Modeling in Engineering & Sciences. 129(2). 1029–1049. 6 indexed citations
19.
Feng, Yunwen, et al.. (2021). Dimensionality reduction-based extremum surrogate modeling strategy for transient reliability analysis of complex structures. Engineering Failure Analysis. 130. 105745–105745. 10 indexed citations
20.
Liu, Jiaqi, et al.. (2021). Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework. Shock and Vibration. 2021(1). 4 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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