Wang Wei Lee

1.6k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Wang Wei Lee is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wang Wei Lee has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 16 papers in Biomedical Engineering and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wang Wei Lee's work include Tactile and Sensory Interactions (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and Advanced Memory and Neural Computing (7 papers). Wang Wei Lee is often cited by papers focused on Tactile and Sensory Interactions (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and Advanced Memory and Neural Computing (7 papers). Wang Wei Lee collaborates with scholars based in China, Singapore and United States. Wang Wei Lee's co-authors include Yu Jun Tan, Benjamin C. K. Tee, Si Li, Hongchen Guo, Yue Cao, Yongqing Cai, Chao Wang, Nitish V. Thakor, Sunil L. Kukreja and Kian Ann Ng and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Industrial Electronics and Nano Energy.

In The Last Decade

Wang Wei Lee

23 papers receiving 1.2k 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.

Self-healing electronic skins for aquatic environments

2019 542 citations Wang Wei Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wang Wei Lee China	15	923	464	372	299	169	25	1.2k
Si Li China	11	1.2k 1.3×	493 1.1×	525 1.4×	369 1.2×	217 1.3×	23	1.5k
Aadeel Akhtar United States	11	1.2k 1.3×	568 1.2×	393 1.1×	243 0.8×	132 0.8×	17	1.3k
Haicheng Yao Singapore	11	991 1.1×	376 0.8×	231 0.6×	493 1.6×	174 1.0×	19	1.3k
Jiangtao Xue China	21	1.4k 1.5×	383 0.8×	549 1.5×	340 1.1×	246 1.5×	51	1.8k
Pedro Alhais Lopes Portugal	18	1.4k 1.5×	399 0.9×	404 1.1×	510 1.7×	323 1.9×	35	1.6k
Wenzheng Heng United States	10	887 1.0×	254 0.5×	237 0.6×	299 1.0×	122 0.7×	16	1.1k
Bryan Peele United States	9	1.6k 1.8×	418 0.9×	516 1.4×	348 1.2×	481 2.8×	11	1.9k
Zequn Shen China	7	1.1k 1.2×	228 0.5×	488 1.3×	192 0.6×	332 2.0×	9	1.3k
Chris Larson United States	6	1.3k 1.4×	378 0.8×	480 1.3×	351 1.2×	363 2.1×	6	1.6k

Countries citing papers authored by Wang Wei Lee

Since Specialization

Citations

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

Fields of papers citing papers by Wang Wei Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Wei Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Xiaoshi, Yi‐Han Xu, Daixuan Wu, et al.. (2025). Machine learning-driven design for globally optimal performance of flexible pressure sensors. Chemical Engineering Journal. 526. 171046–171046.

Huang, Bidan, et al.. (2024). Dexterous in-hand manipulation of slender cylindrical objects through deep reinforcement learning with tactile sensing. Robotics and Autonomous Systems. 186. 104904–104904. 6 indexed citations

Wang, Shuai, et al.. (2024). A Robust Model Predictive Controller for Tactile Servoing. 13848–13854. 2 indexed citations

Huang, Bidan, et al.. (2024). Visual-Force-Tactile Fusion for Gentle Intricate Insertion Tasks. IEEE Robotics and Automation Letters. 9(5). 4830–4837. 1 indexed citations

Chen, Lipeng, Haojian Lu, Yue Wang, et al.. (2024). Beyond End-Effector: Utilizing High-Resolution Tactile Signals for Physical Human–Robot Interaction. IEEE Transactions on Industrial Electronics. 72(5). 5022–5031.

Lu, Pengfei, et al.. (2024). Thermoformed electronic skins for conformal tactile sensor arrays. 13898–13903. 3 indexed citations

Lee, Wang Wei, Zhong Zhang, Yiwei Xiong, et al.. (2024). TRX-Hand5: An Anthropomorphic Hand with Integrated Tactile Feedback for Grasping and Manipulation in Human Environments. 5289–5296. 1 indexed citations

Zhao, Hongfa, Zihan Wang, Xiao Xiao, et al.. (2023). A platypus-inspired electro-mechanosensory finger for remote control and tactile sensing. Nano Energy. 116. 108790–108790. 41 indexed citations

Huang, Bidan, et al.. (2023). TacGNN: Learning Tactile-Based In-Hand Manipulation With a Blind Robot Using Hierarchical Graph Neural Network. IEEE Robotics and Automation Letters. 8(6). 3605–3612. 14 indexed citations

10.

Long, Zhihe, Weikang Lin, Pengyu Li, et al.. (2023). One-wire reconfigurable and damage-tolerant sensor matrix inspired by the auditory tonotopy. Science Advances. 9(48). eadi6633–eadi6633. 20 indexed citations

11.

Lin, Weikang, Wang Wei Lee, Ying Hong, et al.. (2022). Super-resolution wearable electrotactile rendering system. Science Advances. 8(36). eabp8738–eabp8738. 87 indexed citations

12.

Ding, Zihan, et al.. (2021). Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6778–6785. 15 indexed citations

13.

Lee, Wang Wei, Sunil L. Kukreja, & Nitish V. Thakor. (2017). Discrimination of Dynamic Tactile Contact by Temporally Precise Event Sensing in Spiking Neuromorphic Networks. Frontiers in Neuroscience. 11. 5–5. 23 indexed citations

14.

Low, Jin-Huat, Wang Wei Lee, Phone May Khin, et al.. (2017). Hybrid Tele-Manipulation System Using a Sensorized 3-D-Printed Soft Robotic Gripper and a Soft Fabric-Based Haptic Glove. IEEE Robotics and Automation Letters. 2(2). 880–887. 83 indexed citations

15.

Lee, Wang Wei, Sunil L. Kukreja, & Nitish V. Thakor. (2016). CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping. IEEE Transactions on Neural Networks and Learning Systems. 28(4). 849–861. 9 indexed citations

16.

Lee, Wang Wei, Sunil L. Kukreja, & Nitish V. Thakor. (2015). Live demonstration: A kilohertz kilotaxel tactile sensor array for investigating spatiotemporal features in neuromorphic touch. 4 indexed citations

17.

Lee, Wang Wei, et al.. (2015). Stable force-myographic control of a prosthetic hand using incremental learning. PubMed. 2015. 4828–4831. 21 indexed citations

18.

Roy, Subhrajit, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, & Arindam Basu. (2015). Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Transactions on Neural Networks and Learning Systems. 27(7). 1572–1577. 14 indexed citations

19.

Osborn, Luke E., Wang Wei Lee, Rahul R. Kaliki, & Nitish V. Thakor. (2014). Tactile feedback in upper limb prosthetic devices using flexible textile force sensors. PubMed. 2014. 114–119. 31 indexed citations

20.

Lee, Wang Wei, Haoyong Yu, & Nitish V. Thakor. (2014). Gait event detection through neuromorphic spike sequence learning. 899–904. 19 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.

Explore authors with similar magnitude of impact