Xian Yeow Lee

473 total citations
21 papers, 315 citations indexed

About

Xian Yeow Lee is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Xian Yeow Lee has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Xian Yeow Lee's work include Reinforcement Learning in Robotics (4 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Machine Learning in Materials Science (2 papers). Xian Yeow Lee is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Machine Learning in Materials Science (2 papers). Xian Yeow Lee collaborates with scholars based in United States, United Kingdom and France. Xian Yeow Lee's co-authors include Soumik Sarkar, Baskar Ganapathysubramanian, Aditya Balu, Sourabh K. Saha, Brian Giera, Daniel Stoecklein, Yübo Wang, Allison A. Cargill, Eric S. McLamore and Carmen L. Gomes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Additive manufacturing.

In The Last Decade

Xian Yeow Lee

18 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xian Yeow Lee United States 8 95 82 65 50 44 21 315
Ting Fu China 10 39 0.4× 91 1.1× 69 1.1× 30 0.6× 21 0.5× 36 413
Jiaxing Cheng China 11 32 0.3× 54 0.7× 60 0.9× 116 2.3× 90 2.0× 50 408
Han Long China 13 122 1.3× 249 3.0× 36 0.6× 32 0.6× 40 0.9× 60 490
Chong Yuan China 5 31 0.3× 126 1.5× 18 0.3× 14 0.3× 37 0.8× 17 323
Jiaju Wu China 9 53 0.6× 98 1.2× 29 0.4× 22 0.4× 5 0.1× 44 336
Yusen Wang China 9 88 0.9× 135 1.6× 13 0.2× 36 0.7× 52 1.2× 40 300
Junho Cho South Korea 14 38 0.4× 174 2.1× 31 0.5× 16 0.3× 30 0.7× 39 507

Countries citing papers authored by Xian Yeow Lee

Since Specialization
Citations

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

Fields of papers citing papers by Xian Yeow Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian Yeow Lee. 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 Xian Yeow Lee. The network helps show where Xian Yeow Lee may publish in the future.

Co-authorship network of co-authors of Xian Yeow Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Xian Yeow Lee. A scholar is included among the top collaborators of Xian Yeow Lee 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 Xian Yeow Lee. Xian Yeow Lee 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.
Lee, Xian Yeow, et al.. (2025). Exploring LLM-based Agentic Frameworks for Fault Diagnosis. Annual Conference of the PHM Society. 17(1).
2.
Lee, Xian Yeow, et al.. (2024). A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. SHILAP Revista de lepidopterología. 5. 126–141. 2 indexed citations
3.
Vidyaratne, Lasitha, et al.. (2024). Generating Troubleshooting Trees for Industrial Equipment using Large Language Models (LLM). 116–125. 6 indexed citations
4.
5.
6.
Lee, Xian Yeow, Lasitha Vidyaratne, Mahbubul Alam, et al.. (2023). XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. 4375–4384. 3 indexed citations
7.
Lee, Xian Yeow, et al.. (2023). An ensemble of convolution-based methods for fault detection using vibration signals. 172–179. 16 indexed citations
8.
Lee, Xian Yeow, et al.. (2022). Multi-fidelity machine learning models for structure–property mapping of organic electronics. Computational Materials Science. 213. 111599–111599. 8 indexed citations
9.
Lee, Xian Yeow, et al.. (2022). Stochastic Conservative Contextual Linear Bandits. 2022 IEEE 61st Conference on Decision and Control (CDC). 7321–7326. 4 indexed citations
10.
Lee, Xian Yeow, et al.. (2022). Deep Reinforcement Learning for Robotic Control with Multi-Fidelity Models. IFAC-PapersOnLine. 55(37). 193–198. 5 indexed citations
11.
Lee, Xian Yeow, Soumik Sarkar, & Yübo Wang. (2022). A graph policy network approach for Volt-Var Control in power distribution systems. Applied Energy. 323. 119530–119530. 31 indexed citations
12.
Jiang, Zhanhong, Xian Yeow Lee, Kai Tan, et al.. (2022). MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9377–9385. 3 indexed citations
13.
Jiang, Zhanhong, Aditya Balu, Xian Yeow Lee, et al.. (2022). Distributed Online Non-convex Optimization with Composite Regret. 1–8. 5 indexed citations
14.
Lee, Xian Yeow, et al.. (2021). Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Computer Aided Geometric Design. 91. 102038–102038. 4 indexed citations
15.
Lee, Xian Yeow, Ameya Joshi, Aditya Balu, et al.. (2021). Fast inverse design of microstructures via generative invariance networks. Nature Computational Science. 1(3). 229–238. 37 indexed citations
16.
Lee, Xian Yeow, Sourabh K. Saha, Soumik Sarkar, & Brian Giera. (2020). Two Photon lithography additive manufacturing: Video dataset of parameter sweep of light dosages, photo-curable resins, and structures. SHILAP Revista de lepidopterología. 32. 106119–106119. 7 indexed citations
17.
Lee, Xian Yeow. (2020). Labelled Two-photon Lithography Dataset (LLNL-MI-808019). Data Archiving and Networked Services (DANS). 1. 2 indexed citations
18.
Lee, Xian Yeow, Sourabh K. Saha, Soumik Sarkar, & Brian Giera. (2020). Automated detection of part quality during two-photon lithography via deep learning. Additive manufacturing. 36. 101444–101444. 42 indexed citations
19.
Lee, Xian Yeow, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, & Soumik Sarkar. (2019). A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting. Journal of Mechanical Design. 141(11). 54 indexed citations
20.
Ding, Shaowei, Curtis Mosher, Xian Yeow Lee, et al.. (2017). Rapid and Label-Free Detection of Interferon Gamma via an Electrochemical Aptasensor Comprising a Ternary Surface Monolayer on a Gold Interdigitated Electrode Array. ACS Sensors. 2(2). 210–217. 85 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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