The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Kuan-Chang Chang sits on this spectrum.
This scientist: 176 publications — 38th percentile
38% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Kuan-Chang Chang sits on this spectrum.
This scientist: 39 D-Index — 24th percentile
24% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Kuan-Chang Chang is affiliated with Peking University in China and has an extensive publication record spanning multiple fields of engineering and applied sciences. Their scientific contributions focus primarily on the areas of engineering, computer science, and materials science. Within these domains, their research emphasizes subfields such as electrical and electronic engineering, control and systems engineering, biomedical engineering, artificial intelligence, and cellular and molecular neuroscience.
The researcher's work covers a variety of topics, prominently including advanced memory and neural computing, thin-film transistor technologies, semiconductor materials and devices, neuroscience and neural engineering, advanced sensor and energy harvesting materials, photoreceptor and optogenetics research, and smart grid security and resilience.
Recent publications by Kuan-Chang Chang include:
Kuan-Chang Chang frequently collaborates with other researchers. Their most frequent co-authors include Lei Li, Kai-Chun Chu, Hsiao-Chuan Wang, Fu-Hsiang Chang, and Yuh-Chung Lin.
The scholar has published extensively in several distinct venues, with frequent publications appearing in:
In addition to journal articles, Kuan-Chang Chang has contributed to book publications primarily through Springer International Publishing and Springer Nature. Notable book contributions include proceedings from the 8th and 9th International Conference on Advanced Intelligent Systems and Informatics (2022 and 2023), as well as a chapter in "Advanced Machine Learning Technologies and Applications" (2021).
Ting Chang Chang;Kuan Chang Chang;Tsung Ming Tsai;Tian Jian Chu
Yong-En Syu;Ting-Chang Chang;Tsung-Ming Tsai;Ya-Chi Hung
Kuan-Chang Chang;Ting-Chang Chang;Tsung-Ming Tsai;Rui Zhang
Zehui Peng;Facai Wu;Li Jiang;Guangsen Cao
Yong-En Syu;Ting-Chang Chang;Jyun-Hao Lou;Tsung-Ming Tsai
Zhuo-Rui Wang;Yu-Ting Su;Yi Li;Ya-Xiong Zhou
Li Ji;Yao Feng Chang;Burt Fowler;Ying Chen Chen
Cong Ye;Cong Ye;Chao Zhan;Tsung-Ming Tsai;Kuan-Chang Chang
Min-Chen Chen;Ting-Chang Chang;Sheng-Yao Huang;Kuan-Chang Chang
Kuan-Chang Chang;Tsung-Ming Tsai;Ting-Chang Chang;Hsing-Hua Wu
Mengjiao Li;Wei-Yuan Cheng;Yi-Chiun Li;Hsing-Mei Wu
Rui Zhang;Kuan-Chang Chang;Ting-Chang Chang;Tsung-Ming Tsai
Ya-Xiong Zhou;Yi Li;Yi Li;Yu-Ting Su;Zhuo-Rui Wang
Kuan-Chang Chang;Tsung-Ming Tsai;Ting-Chang Chang;Yong-En Syu
Chih-Yang Lin;Po-Hsun Chen;Ting-Chang Chang;Kuan-Chang Chang
Tian-Jian Chu;Ting-Chang Chang;Tsung-Ming Tsai;Hsing-Hua Wu
Po-Hsun Chen;Kuan-Chang Chang;Ting-Chang Chang;Tsung-Ming Tsai
Kuan-Chang Chang;Tsung-Ming Tsai;Ting-Chang Chang;Yong-En Syu
Fang-Yuan Yuan;Ning Deng;Chih-Cheng Shih;Yi-Ting Tseng
Tsung-Ming Tsai;Kuan-Chang Chang;Ting-Chang Chang;Geng-Wei Chang
Tsung-Ming Tsai;Kuan-Chang Chang;Ting-Chang Chang;Yong-En Syu
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