U-Xuan Tan

3.1k total citations · 1 hit paper
142 papers, 2.3k citations indexed

About

U-Xuan Tan is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, U-Xuan Tan has authored 142 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Control and Systems Engineering, 40 papers in Electrical and Electronic Engineering and 38 papers in Biomedical Engineering. Recurrent topics in U-Xuan Tan's work include Indoor and Outdoor Localization Technologies (26 papers), Piezoelectric Actuators and Control (24 papers) and Robotics and Sensor-Based Localization (23 papers). U-Xuan Tan is often cited by papers focused on Indoor and Outdoor Localization Technologies (26 papers), Piezoelectric Actuators and Control (24 papers) and Robotics and Sensor-Based Localization (23 papers). U-Xuan Tan collaborates with scholars based in Singapore, China and United States. U-Xuan Tan's co-authors include Cheng Yap Shee, Win Tun Latt, Wei Tech Ang, Chau Yuen, Ran Liu, Chee Kai Chua, Aakanksha Pant, Jaydev P. Desai, Rao P. Gullapalli and Bo Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Food Hydrocolloids.

In The Last Decade

U-Xuan Tan

128 papers receiving 2.2k citations

Hit Papers

3D food printing of fresh vegetables using food hydrocoll... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U-Xuan Tan Singapore 27 838 539 477 384 306 142 2.3k
Zhi‐Hong Mao United States 30 711 0.8× 361 0.7× 1.1k 2.4× 183 0.5× 209 0.7× 159 2.9k
Jindong Tan United States 31 1.1k 1.3× 556 1.0× 617 1.3× 439 1.1× 559 1.8× 233 3.4k
Hubert Zangl Austria 22 681 0.8× 311 0.6× 895 1.9× 220 0.6× 459 1.5× 192 2.0k
Marco Parvis Italy 22 566 0.7× 160 0.3× 732 1.5× 132 0.3× 250 0.8× 190 2.3k
A. Lázaro Spain 33 1.4k 1.7× 173 0.3× 2.6k 5.4× 879 2.3× 192 0.6× 231 3.7k
Yoshihiro Kawahara Japan 30 1.1k 1.3× 134 0.2× 1.5k 3.1× 308 0.8× 943 3.1× 292 4.3k
Richard M. Voyles United States 22 494 0.6× 501 0.9× 367 0.8× 218 0.6× 377 1.2× 158 1.8k
Edward J. Park Canada 29 1.1k 1.4× 434 0.8× 523 1.1× 448 1.2× 394 1.3× 94 2.9k
Rong Xiong China 24 560 0.7× 636 1.2× 313 0.7× 1.0k 2.6× 266 0.9× 291 2.5k
Alfonso García-Cerezo Spain 30 842 1.0× 1.3k 2.4× 411 0.9× 565 1.5× 552 1.8× 210 3.2k

Countries citing papers authored by U-Xuan Tan

Since Specialization
Citations

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

Fields of papers citing papers by U-Xuan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U-Xuan Tan. 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 U-Xuan Tan. The network helps show where U-Xuan Tan may publish in the future.

Co-authorship network of co-authors of U-Xuan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of U-Xuan Tan. A scholar is included among the top collaborators of U-Xuan Tan 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 U-Xuan Tan. U-Xuan Tan 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.
Wang, Sanmin, et al.. (2025). Simulation and Experiment of Windage Power Loss of A Shrouded Spiral Bevel Gears under Oil Injection Lubrication. Chinese Journal of Mechanical Engineering. 38(1).
2.
Qin, Yan, et al.. (2025). Learning More With Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation With EV Charging Data. IEEE Transactions on Industrial Informatics. 22(1). 543–554.
3.
Cao, Zhiqiang, Benny Kai Kiat Ng, Billy Pik Lik Lau, et al.. (2025). Localization through mitigating and compensating UWB NLOS ranging error with neural network. Digital Signal Processing. 166. 105397–105397. 1 indexed citations
4.
Qin, Yan, et al.. (2025). FastGCNet: A Fast Geometric Constructive Neural Network for the Industrial IoT Data Analysis. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(1). 80–90.
5.
Bhardwaj, Rishabh, et al.. (2024). Manufacturing domain instruction comprehension using synthetic data. The Visual Computer. 40(11). 8189–8203. 1 indexed citations
6.
Lau, Billy Pik Lik, et al.. (2024). Distributed multi-robot potential-field-based exploration with submap-based mapping and noise-augmented strategy. Robotics and Autonomous Systems. 179. 104752–104752. 3 indexed citations
7.
Tan, U-Xuan, et al.. (2024). Real-Time Vibration Estimation and Compensation With Long Short-Term Memory Recurrent Neural Network. IEEE/ASME Transactions on Mechatronics. 30(2). 829–839.
8.
Liu, Ran, Billy Pik Lik Lau, Chau Yuen, et al.. (2023). Exploiting Radio Fingerprints for Simultaneous Localization and Mapping. IEEE Pervasive Computing. 22(3). 38–46. 11 indexed citations
9.
Cao, Zhiqiang, et al.. (2023). GMC-Pos: Graph-Based Multi-Robot Coverage Positioning Method. 1–7. 1 indexed citations
10.
Dharmawan, Audelia G., et al.. (2020). A Control Scheme for Physical Human-Robot Interaction Coupled with an Environment of Unknown Stiffness. Journal of Intelligent & Robotic Systems. 100(1). 165–182. 26 indexed citations
11.
Yang, L., et al.. (2020). A Control Scheme for Smooth Transition in Physical Human-Robot-Environment Between Two Modes: Augmentation and Autonomous. IEEE Robotics and Automation Letters. 5(4). 5803–5810. 14 indexed citations
12.
Liu, Ran, et al.. (2019). Collaborative SLAM Based on WiFi Fingerprint Similarity and Motion Information. IEEE Internet of Things Journal. 7(3). 1826–1840. 80 indexed citations
13.
Zhang, Dingguo, et al.. (2018). Trajectory tracking of piezoelectric-driven stage via a hybrid controller for both periodic and non-periodic motion. Smart Materials and Structures. 28(2). 25023–25023. 4 indexed citations
14.
Yang, L., et al.. (2018). Stable and Compliant Motion of Physical Human–Robot Interaction Coupled With a Moving Environment Using Variable Admittance and Adaptive Control. IEEE Robotics and Automation Letters. 3(3). 2493–2500. 70 indexed citations
15.
Yang, L., Kamal Youcef‐Toumi, & U-Xuan Tan. (2017). Detect-Focus-Track-Servo (DFTS): A vision-based workflow algorithm for robotic image-guided micromanipulation. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
16.
Latt, Win Tun, et al.. (2011). Transfer Function Compensation in Gyroscope-Free Inertial Measurement Units for Accurate Angular Motion Sensing. IEEE Sensors Journal. 12(5). 1207–1208. 3 indexed citations
17.
Latt, Win Tun, et al.. (2011). A micro motion sensing system for micromanipulation tasks. Sensors and Actuators A Physical. 173(1). 254–266. 9 indexed citations
18.
Tan, U-Xuan, et al.. (2009). Feedforward Controller of Ill-Conditioned Hysteresis Using Singularity-Free Prandtl–Ishlinskii Model. IEEE/ASME Transactions on Mechatronics. 14(5). 598–605. 72 indexed citations
19.
Latt, Win Tun, U-Xuan Tan, Ferdinan Widjaja, et al.. (2008). A study of a hand-held instrument's angular motion due to physiological tremor in micromanipulation tasks. PubMed. 2. 1952–1955. 6 indexed citations
20.
Latt, Win Tun, et al.. (2007). System to Assess Accuracy of Micromanipulation. Conference proceedings. 30. 5743–5746. 12 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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