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 Kah-Wee Ang sits on this spectrum.
This scientist: 247 publications — 44th percentile
44% 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 Kah-Wee Ang sits on this spectrum.
This scientist: 51 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Kah-Wee Ang is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on the fields of engineering and materials science, with a notable emphasis on electrical and electronic engineering and materials chemistry. The scientist's work also intersects with cellular and molecular neuroscience, biomedical engineering, and artificial intelligence as subfields of their study.
Their research topics include advanced memory and neural computing, ferroelectric and negative capacitance devices, and applications of two-dimensional (2D) materials. Additional areas of focus are neural networks and reservoir computing, neuroscience and neural engineering, photoreceptor and optogenetics research, and materials such as MXene and MAX phase materials.
Kah-Wee Ang has published extensively in several venues. The most frequent publication outlets include:
Recent papers authored or coauthored by Kah-Wee Ang cover a range of topics in memristor technology, 2D materials, and neural networks. Selected recent works include:
The scientist collaborates frequently with several colleagues, with repeated partnerships including:
The convergence of their work on advanced neural computing architectures, energy-efficient hardware implementations, and emerging 2D materials reflects engagement with contemporary challenges in materials chemistry, device engineering, and artificial intelligence applications. Their contributions span highly specialized topics related to evolving technologies in memristor arrays and neuromorphic systems.
Tsung-Yang Liow;Kah-Wee Ang;Qing Fang;Jun-Feng Song
Lin Wang;Wugang Liao;Swee Liang Wong;Zhi Gen Yu
Li Huang;Bowei Dong;Xin Guo;Yuhua Chang
Yesheng Li;Leyi Loh;Sifan Li;Li Chen
Jingxuan Wei;Ying Li;Lin Wang;Wugang Liao
Xuewei Feng;Yida Li;Lin Wang;Shuai Chen
Yesheng Li;Kah-Wee Ang
Lin Wang;Li Huang;Wee Chong Tan;Xuewei Feng
Sifan Li;Mei-Er Pam;Yesheng Li;Li Chen
Yuanda Liu;Yuanda Liu;Yongqing Cai;Gang Zhang;Yong-Wei Zhang
Bowei Dong;Yanqin Yang;Qiongfeng Shi;Siyu Xu
C.R. Doerr;P.J. Winzer;Young-Kai Chen;S. Chandrasekhar
Wee Chong Tan;Yongqing Cai;Rui Jie Ng;Li Huang
Kah-Wee Ang;King-Jien Chui;Vladimir Bliznetsov;Chih-Hang Tung
Xuewei Feng;Sifan Li;Swee Liang Wong;Shiwun Tong
Kah Wee Ang;King Jien Chui;V. Bliznetsov;Anyan Du
Qing Fang;Tsung-Yang Liow;Jun Feng Song;Kah Wee Ang
Baoshan Tang;Zhi Gen Yu;Li Huang;Jianwei Chai
Pengkun Xia;Xuewei Feng;Rui Jie Ng;Shijie Wang
Z. P. Ling;R. Yang;J. W. Chai;S. J. Wang
Wee Chong Tan;Li Huang;Rui Jie Ng;Lin Wang
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