The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Tong Heng Lee sits on this spectrum.
This scientist: 850 publications — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Tong Heng Lee sits on this spectrum.
This scientist: 103 D-Index — 98th percentile
98% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Tong Heng Lee is affiliated with the National University of Singapore in Singapore. Their research spans multiple fields, primarily focused on engineering and computer science, with significant contributions in control and systems engineering, computational theory and mathematics, computer vision and pattern recognition, automotive engineering, and mechanical engineering.
The scientist's recent publication record includes papers that address topics in consensus control, time-synchronized stability, sliding-mode control, and power scheduling in microgrids. Notable recent papers include:
Tong Heng Lee collaborates frequently with several researchers, including Jun Ma, Zilong Cheng, Haiyue Zhu, Clarence W. de Silva, and Xiaoxue Zhang. These coauthors have collaborated on numerous publications, contributing to the multidisciplinary nature of Lee's research.
The scientist's work has been published in a range of reputable venues, with a significant presence in:
Lee has also contributed to book publications, with at least one recorded book titled Force and Position Control of Mechatronic Systems published by Springer Nature in 2020.
The main research topics covered by Tong Heng Lee include:
This extensive work highlights a focus on control methods for complex systems and robotics applications, particularly involving adaptive and iterative learning techniques, as well as precise actuator control technologies.
S. S. Ge;C. C. Hang;T. H. Lee;Tao Zhang
Beibei Ren;Shuzhi Sam Ge;Keng Peng Tee;Tong Heng Lee
S.S. Ge;Fan Hong;Tong Heng Lee
B.M. Chen;T.H. Lee;Kemao Peng;V. Venkataramanan
Zhendong Sun;S. S. Ge;T. H. Lee
Guowei Cai;Ben M. Chen;Tong Heng Lee
Qing-Guo Wang;Tong-Heng Lee;Ho-Wang Fung;Qiang Bi
K. C. Tan;T. H. Lee;E. F. Khor
S.S. Ge;Fan Hong;Tong Heng Lee
Kay Chen Tan;Tong Heng Lee;k-c-tan;Eik Fun Khor
Feng Zheng;Qing-Guo Wang;Tong Heng Lee
S. S. Ge;F. Hong;T. H. Lee
Jian-Xin Xu;Zhao-Qin Guo;Tong Heng Lee
Qing-Guo Wang;Biao Zou;Tong-Heng Lee;Qiang Bi
S. S. Ge;Zhuping Wang;T. H. Lee
K.C. Tan;T.H. Lee;E.F. Khor
K.K. Tan;S.N. Huang;T.H. Lee
Yunong Zhang;S.S. Ge;Tong Heng Lee
Chong Lin;Qing-Guo Wang;Tong Heng Lee
Ben M. Chen;Tong Heng Lee;Kemao Peng;Venkatakrishnan Venkataramanan
L. Huang;Shuzhi Sam Ge;Tong Heng Lee
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