Yan‐Ning Sun

865 total citations
47 papers, 582 citations indexed

About

Yan‐Ning Sun is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Yan‐Ning Sun has authored 47 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 19 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Yan‐Ning Sun's work include Fault Detection and Control Systems (14 papers), Industrial Vision Systems and Defect Detection (11 papers) and Manufacturing Process and Optimization (9 papers). Yan‐Ning Sun is often cited by papers focused on Fault Detection and Control Systems (14 papers), Industrial Vision Systems and Defect Detection (11 papers) and Manufacturing Process and Optimization (9 papers). Yan‐Ning Sun collaborates with scholars based in China, Macao and Sweden. Yan‐Ning Sun's co-authors include Wei Qin, Zilong Zhuang, Hongwei Xu, Poly Z. H. Sun, Jinhua Hu, Yifan Huangfu, Hui Ma, Kangkang Chen, Bangchun Wen and Edmond Q. Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and International Journal of Production Economics.

In The Last Decade

Yan‐Ning Sun

42 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan‐Ning Sun China	13	183	170	168	105	55	47	582
Masoud Jalayer Italy	7	121 0.7×	238 1.4×	94 0.6×	82 0.8×	33 0.6×	14	431
Rob Vingerhoeds France	11	81 0.4×	256 1.5×	101 0.6×	108 1.0×	24 0.4×	65	523
Tianhua Xu China	10	149 0.8×	132 0.8×	72 0.4×	93 0.9×	34 0.6×	21	466
Hossein Davari Ardakani United States	9	123 0.7×	246 1.4×	334 2.0×	41 0.4×	81 1.5×	17	659
Jean‐Yves Choley France	15	187 1.0×	274 1.6×	283 1.7×	56 0.5×	57 1.0×	92	743
Mohamed-Salah Ouali Canada	13	151 0.8×	302 1.8×	83 0.5×	87 0.8×	58 1.1×	38	726
Connor Mattson United States	2	82 0.4×	162 1.0×	79 0.5×	62 0.6×	77 1.4×	5	569
Mohd. Salihin Ngadiman Malaysia	6	149 0.8×	55 0.3×	84 0.5×	65 0.6×	108 2.0×	15	468
Atharv Bhosekar United States	6	95 0.5×	210 1.2×	62 0.4×	73 0.7×	38 0.7×	8	592

Countries citing papers authored by Yan‐Ning Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yan‐Ning Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan‐Ning Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Ning Sun. A scholar is included among the top collaborators of Yan‐Ning Sun 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 Yan‐Ning Sun. Yan‐Ning Sun 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

Gao, Zenggui, et al.. (2025). An improved cross-machine transfer strategy based on multi-source domain knowledge for abnormal sample recognition. Reliability Engineering & System Safety. 257. 110848–110848. 2 indexed citations

Hu, Jinhua, et al.. (2025). A key process identification framework for aircraft assembly production based on the network with physical attributes. Journal of Manufacturing Systems. 80. 595–609.

Zhang, Zhewen, Lingzhi Huang, Bing Wang, et al.. (2025). Biological acid hydrogen bond donors regulate the acceleration of lignin depolymerization and enhance the robustness of lignin nanoparticles (LNPs). Chemical Engineering Journal. 522. 167916–167916.

Sun, Yan‐Ning, et al.. (2025). Uncertainty-aware Bayesian neural network with SHAP interpretability for data-driven assembly quality prediction in complex manufacturing systems. Advanced Engineering Informatics. 68. 103730–103730. 1 indexed citations

Sun, Yan‐Ning, et al.. (2025). Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production. Journal of Manufacturing Systems. 82. 1252–1268.

Hu, Jinhua, et al.. (2024). A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system. Advanced Engineering Informatics. 60. 102433–102433. 9 indexed citations

Gao, Zenggui, et al.. (2024). Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example. Engineering With Computers. 41(1). 609–626. 1 indexed citations

Sun, Yan‐Ning, et al.. (2024). Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes. Engineering Applications of Artificial Intelligence. 138. 109494–109494. 3 indexed citations

Xu, Zifeng, et al.. (2024). FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training. Advanced Engineering Informatics. 61. 102499–102499. 14 indexed citations

10.

Xu, Hongwei, et al.. (2024). An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication. Computers & Industrial Engineering. 188. 109905–109905. 4 indexed citations

11.

Hu, Jinhua, et al.. (2024). Network-based two-stage robust scheduling strategy for the aircraft assembly system with uncertain duration. Computers & Industrial Engineering. 188. 109911–109911. 1 indexed citations

12.

Xu, Hongwei, et al.. (2024). A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems. Journal of Manufacturing Systems. 76. 222–233. 9 indexed citations

13.

Sun, Yan‐Ning, et al.. (2024). A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines. 1–9. 1 indexed citations

14.

Xu, Hongwei, et al.. (2023). Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process. Journal of Intelligent Manufacturing. 35(3). 1207–1220. 31 indexed citations

15.

Du, Shichang, et al.. (2023). Advance Scheduling for Chronic Care Under Online or Offline Revisit Uncertainty. IEEE Transactions on Automation Science and Engineering. 21(4). 5297–5310. 48 indexed citations

16.

Xu, Hongwei, et al.. (2023). A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication. Advanced Engineering Informatics. 59. 102272–102272. 6 indexed citations

17.

Sun, Yan‐Ning, Hongwei Xu, & Wei Qin. (2022). An Adaptive Threshold Strategy Based on Genetic Optimization for Nonlinear Dynamic Process Monitoring. IFAC-PapersOnLine. 55(10). 2150–2155.

18.

Xu, Hongwei, Wei Qin, & Yan‐Ning Sun. (2022). An Improved XGBoost Prediction Model for Multi-Batch Wafer Yield in Semiconductor Manufacturing. IFAC-PapersOnLine. 55(10). 2162–2166. 9 indexed citations

19.

Sun, Yan‐Ning, Wei Qin, & Zilong Zhuang. (2020). Quality consistency analysis for complex assembly process based on Bayesian networks. Procedia Manufacturing. 51. 577–583. 9 indexed citations

20.

Zhuang, Zilong, et al.. (2020). Data-driven rated power prediction of diesel engines using improved multi-class imbalanced learning method. Procedia Manufacturing. 51. 324–329. 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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