Tingli Xie

939 total citations · 1 hit paper
34 papers, 727 citations indexed

About

Tingli Xie is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Tingli Xie has authored 34 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Computational Theory and Mathematics. Recurrent topics in Tingli Xie's work include Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Machine Fault Diagnosis Techniques (8 papers). Tingli Xie is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Machine Fault Diagnosis Techniques (8 papers). Tingli Xie collaborates with scholars based in China, United States and South Korea. Tingli Xie's co-authors include Xufeng Huang, Seung-Kyum Choi, Qi Zhou, Seppo Karrila, S. Mostafa Ghiaasiaan, Jiexiang Hu, Ping Jiang, Zhen Hu, Yahui Zhang and Xinyu Shao and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and IEEE Transactions on Industrial Informatics.

In The Last Decade

Tingli Xie

31 papers receiving 716 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network

2021 203 citations Tingli Xie, Xufeng Huang et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tingli Xie China	14	270	223	154	137	115	34	727
Xiaowei Yue United States	18	184 0.7×	239 1.1×	83 0.5×	49 0.4×	102 0.9×	55	796
Olivier Léonard Belgium	15	219 0.8×	99 0.4×	80 0.5×	92 0.7×	81 0.7×	48	587
Allan J. Volponi United States	12	503 1.9×	129 0.6×	181 1.2×	224 1.6×	170 1.5×	21	877
Jinquan Huang China	23	833 3.1×	155 0.7×	199 1.3×	129 0.9×	111 1.0×	113	1.4k
Wolfgang Borutzky Germany	15	494 1.8×	245 1.1×	49 0.3×	69 0.5×	35 0.3×	38	850
V.K. Koumousis Greece	15	191 0.7×	120 0.5×	188 1.2×	37 0.3×	106 0.9×	47	949
R.S. Ransing United Kingdom	17	70 0.3×	405 1.8×	125 0.8×	75 0.5×	41 0.4×	57	834
Geoff Rideout Canada	15	229 0.8×	421 1.9×	117 0.8×	38 0.3×	88 0.8×	65	1.0k
Robert J. Barthorpe United Kingdom	14	157 0.6×	162 0.7×	160 1.0×	33 0.2×	130 1.1×	53	789

Countries citing papers authored by Tingli Xie

Since Specialization

Citations

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

Fields of papers citing papers by Tingli Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingli Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Tingli Xie. A scholar is included among the top collaborators of Tingli Xie 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 Tingli Xie. Tingli Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jin, Zhao, et al.. (2025). Multi-fidelity sequential optimisation method for metamaterials with negative Poisson's ratio. Journal of Engineering Design. 37(1). 1–32.

Lu, Jingpei, et al.. (2025). CtRNet-X: Camera-to-Robot Pose Estimation in Real-World Conditions using a Single Camera. 1914–1920.

Xie, Tingli, et al.. (2025). AGV Path Planning with Dynamic Obstacles Based on Deep Q-Network and Distributed Training. International Journal of Precision Engineering and Manufacturing-Green Technology. 12(3). 1005–1021.

Huang, Xufeng, Tingli Xie, Jinhong Wu, Qi Zhou, & Jiexiang Hu. (2024). Deep continuous convolutional networks for fault diagnosis. Knowledge-Based Systems. 292. 111623–111623. 22 indexed citations

Huang, Xufeng, Tingli Xie, & Qi Zhou. (2024). Digital Twin-Assisted Bearing Fault Diagnosis Using Multi-Fidelity Incremental Learning. 9. 184–190. 1 indexed citations

Huang, Xufeng, et al.. (2024). Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 133. 108212–108212. 24 indexed citations

Huang, Xufeng, Tingli Xie, Jiexiang Hu, & Qi Zhou. (2023). Three-dimensional hybrid fusion networks for current-based bearing fault diagnosis. Measurement Science and Technology. 35(2). 25126–25126. 8 indexed citations

Xie, Tingli, Xufeng Huang, Hyung Wook Park, Heung Soo Kim, & Seung-Kyum Choi. (2023). A data-driven adaptive algorithm and decision support design of multisensory information fusion for prognostics and health management applications. Journal of Engineering Design. 34(2). 158–179. 8 indexed citations

Xie, Tingli, Xufeng Huang, & Seung-Kyum Choi. (2023). Cross-Domain Health Conditions Identification Based on Joint Distribution Modeling of Fused Prototypes. 2 indexed citations

10.

Xie, Tingli, et al.. (2022). Experimental investigation on the hydrocarbon generation of low maturity organic-rich shale in supercritical water. Oil Shale. 39(3). 169–188. 14 indexed citations

11.

Xie, Tingli, Xufeng Huang, & Seung-Kyum Choi. (2022). Information Fusion-Based Meta-Learning for Few-Shot Fault Diagnosis Under Different Working Conditions. 1 indexed citations

12.

Xie, Tingli, Xufeng Huang, & Seung-Kyum Choi. (2021). Multi-Sensor Data Fusion for Rotating Machinery Fault Diagnosis Using Residual Convolutional Neural Network. 4 indexed citations

13.

Choi, Seung-Kyum, et al.. (2021). Multi-fidelity surrogate model-assisted fatigue analysis of welded joints. Structural and Multidisciplinary Optimization. 63(6). 2771–2787. 11 indexed citations

14.

Xie, Tingli, Xufeng Huang, & Seung-Kyum Choi. (2021). Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network. IEEE Transactions on Industrial Informatics. 18(5). 3213–3223. 203 indexed citations breakdown →

15.

Xie, Tingli, Ping Jiang, Qi Zhou, et al.. (2018). Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine. Journal of Computing and Information Science in Engineering. 18(4). 24 indexed citations

16.

Xie, Tingli, Qi Zhou, Jiexiang Hu, Leshi Shu, & Ping Jiang. (2017). A sequential multi-objective robust optimization approach under interval uncertainty based on support vector machines. 2088–2092. 2 indexed citations

17.

Hu, Jiexiang, Qi Zhou, Ping Jiang, & Tingli Xie. (2016). An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling. 97. 86–90. 2 indexed citations

18.

Xie, Tingli, S. Mostafa Ghiaasiaan, & Seppo Karrila. (2003). Flow Regime Identification in Gas/Liquid/Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks. Industrial & Engineering Chemistry Research. 42(26). 7017–7024. 25 indexed citations

19.

Xie, Tingli, et al.. (2003). Flow regimes and gas holdup in paper pulp–water–gas three-phase slurry flow. Chemical Engineering Science. 58(8). 1417–1430. 38 indexed citations

20.

Xie, Tingli, et al.. (2002). Hybrid Neural Network-First Principles Modeling of Critical Heat Flux in a Thin Annular Channel. 227–236. 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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