Yan Lu

2.8k total citations · 2 hit papers
65 papers, 1.8k citations indexed

About

Yan Lu is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Yan Lu has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Industrial and Manufacturing Engineering, 43 papers in Automotive Engineering and 35 papers in Mechanical Engineering. Recurrent topics in Yan Lu's work include Additive Manufacturing and 3D Printing Technologies (42 papers), Additive Manufacturing Materials and Processes (34 papers) and Manufacturing Process and Optimization (32 papers). Yan Lu is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (42 papers), Additive Manufacturing Materials and Processes (34 papers) and Manufacturing Process and Optimization (32 papers). Yan Lu collaborates with scholars based in United States, Taiwan and China. Yan Lu's co-authors include Paul Witherell, Feng Ju, David W. Rosen, Timothy W. Simpson, Sundar Krishnamurty, Zhuo Yang, Adam Thelen, Byeng D. Youn, Olga Fink and Sayan Ghosh and has published in prestigious journals such as Proceedings of the IEEE, Fuel and IEEE Transactions on Smart Grid.

In The Last Decade

Yan Lu

62 papers receiving 1.7k citations

Hit Papers

Research and application of machine learning for additive... 2022 2026 2023 2024 2022 2022 50 100 150 200 250
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.

  1. Research and application of machine learning for additive manufacturing
    2022 265 citations Jian Qin, Fu Hu et al. Additive manufacturing profile →
  2. A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
    2022 208 citations Yan Lu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Lu United States 22 844 808 682 206 186 65 1.8k
Qasim Zeeshan Cyprus 19 317 0.4× 440 0.5× 201 0.3× 186 0.9× 183 1.0× 61 1.6k
Paul Witherell United States 25 1.2k 1.4× 1.3k 1.6× 1.2k 1.8× 57 0.3× 48 0.3× 102 2.0k
J. Balič Slovenia 25 866 1.0× 1.2k 1.4× 302 0.4× 564 2.7× 192 1.0× 98 2.2k
Sudipta Chowdhury United States 15 432 0.5× 510 0.6× 404 0.6× 72 0.3× 61 0.3× 42 1.5k
Anna Valente Switzerland 18 600 0.7× 668 0.8× 278 0.4× 93 0.5× 247 1.3× 91 1.5k
H.J.J. Kals Netherlands 24 1.3k 1.5× 802 1.0× 200 0.3× 113 0.5× 102 0.5× 103 1.9k
Chenhui Shao United States 26 357 0.4× 835 1.0× 163 0.2× 246 1.2× 223 1.2× 93 1.7k
Zuomin Dong Canada 29 468 0.6× 556 0.7× 860 1.3× 903 4.4× 307 1.7× 132 2.6k
Moneer Helu United States 22 1.1k 1.3× 438 0.5× 157 0.2× 263 1.3× 263 1.4× 43 1.8k
Yicong Gao China 20 530 0.6× 395 0.5× 156 0.2× 89 0.4× 112 0.6× 68 1.3k

Countries citing papers authored by Yan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Lu. A scholar is included among the top collaborators of Yan Lu 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 Lu. Yan Lu 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.
Xiao, Yaohong, Wenhua Yang, Zhuo Yang, et al.. (2024). Data-driven prediction of future melt pool from built parts during metal additive manufacturing. Additive manufacturing. 93. 104438–104438. 5 indexed citations
2.
Aggour, Kareem S., et al.. (2024). A Common Data Dictionary and Common Data Model for Additive Manufacturing. Integrating materials and manufacturing innovation. 13(1). 105–119. 3 indexed citations
3.
Zhang, Siqi, et al.. (2024). Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring. Journal of Computing and Information Science in Engineering. 24(10). 4 indexed citations
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Lu, Yan, et al.. (2024). A Distributed AM Architecture with Digital Twin for L-PBF Cluster. 698–704. 1 indexed citations
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Qin, Jian, Fu Hu, Ying Liu, et al.. (2022). Research and application of machine learning for additive manufacturing. Additive manufacturing. 52. 102691–102691. 265 indexed citations breakdown →
11.
Kumara, Soundar, Hui Yang, Timothy W. Simpson, et al.. (2022). Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing. Journal of Computing and Information Science in Engineering. 22(6). 12 indexed citations
12.
Chen, Ruimin, Prahalada Rao, Yan Lu, Edward W. Reutzel, & Hui Yang. (2021). Recurrence network analysis of design-quality interactions in additive manufacturing. Additive manufacturing. 39. 101861–101861. 19 indexed citations
13.
Yang, Hui, Prahalada Rao, Timothy W. Simpson, et al.. (2020). Six-Sigma Quality Management of Additive Manufacturing. Proceedings of the IEEE. 109(4). 347–376. 50 indexed citations
14.
Lu, Yan, et al.. (2020). A New Architectural Approach to Monitoring and Controlling AM Processes. Applied Sciences. 10(18). 6616–6616. 12 indexed citations
15.
Yan, Wentao, Yan Lu, Zhuo Yang, et al.. (2020). Data-driven characterization of thermal models for powder-bed-fusion additive manufacturing. Additive manufacturing. 36. 101503–101503. 26 indexed citations
16.
Lu, Yan, Paul Witherell, & Albert Jones. (2020). Standard connections for IIoT empowered smart manufacturing. Manufacturing Letters. 26. 17–20. 18 indexed citations
17.
Yang, Zhuo, Yan Lu, Ho Yeung, & Sundar Krishnamurty. (2019). From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method. 4 indexed citations
18.
Yang, Zhuo, Yan Lu, Ho Yeung, & Sundar Krishnamurty. (2019). Investigation of Deep Learning for Real-Time Melt Pool Classification in Additive Manufacturing. 640–647. 53 indexed citations
19.
Witherell, Paul, et al.. (2017). Toward a Digital Thread and Data Package for Metals-Additive Manufacturing. PubMed. 1(1). 75–100. 42 indexed citations
20.
Lu, Yan, K. C. Morris, & Simon Frechette. (2015). Standards landscape and directions for smart manufacturing systems. Zenodo (CERN European Organization for Nuclear Research). 998–1005. 45 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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