The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Xiaojun Yao sits on this spectrum.
This scientist: 432 publications — 83rd percentile
83% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,295 publications or more.
The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaojun Yao sits on this spectrum.
This scientist: 69 D-Index — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 159 D-Index or more.
Xiaojun Yao is affiliated with Macau University of Science and Technology in China and focuses research on biochemistry, genetics, and molecular biology as well as engineering. The scientist's work spans multiple subfields including molecular biology, electrical and electronic engineering, materials chemistry, computational theory and mathematics, and civil and structural engineering.
The primary research topics covered by Xiaojun Yao include computational drug discovery methods, protein structure and dynamics, machine learning applications in materials science, supercapacitor materials and fabrication, conducting polymers and applications, advanced battery technologies research, and perovskite materials and applications.
Frequent publication venues for Yao's research comprise:
Among recent publications are:
Yao has collaborated frequently with a selected group of co-authors, notably:
The research contributions of Xiaojun Yao bridge several disciplines, emphasizing the integration of computational methods and experimental approaches within molecular biology and engineering contexts. The scientist's work has been disseminated largely through peer-reviewed journals specializing in bioinformatics, chemical neuroscience, and materials science, indicating a multidisciplinary scope with practical implications in drug design, molecular modeling, and advanced material technologies.
Xuewei Liu;Danfeng Shi;Shuangyan Zhou;Hongli Liu
Jianniao Tian;Jiaqin Liu;Wenying He;Zhide Hu
Xiaojun Yao;Annick Panaye;Jean-Pierre Doucet;Ruisheng Zhang
Weiwei Xue;Weiwei Xue;Fengyuan Yang;Fengyuan Yang;Panpan Wang;Panpan Wang;Guoxun Zheng;Guoxun Zheng
Fengping Hou;Liang Huang;Pinxian Xi;Ju Cheng
Iurii Sushko;Sergii Novotarskyi;Robert Körner;Anil Kumar Pandey
Qifeng Bai;Shuoyan Tan;Tingyang Xu;Huanxiang Liu
Xin Du;Yalei Sun;Bien Tan;Qingfeng Teng
Alsiddig Osama;Junmin Zhang;Juan Yao;Xiaojun Yao;Xiaojun Yao
Unknown
Unknown
Huanxiang Liu;Xiaojun Yao;Ruisheng Zhang;Mancang Liu
Lina Wang;Wenwu Qin;Xiaoliang Tang;Wei Dou
Huanxiang Liu;Ruisheng Zhang;Feng Luan;Xiaojun Yao
Huanxiang Liu;Ruisheng Zhang;Xiaojun Yao;Mancang Liu
Yuanyuan Yue;Xingguo Chen;Jin Qin;Xiaojun Yao
Weiwei Xue;Weiwei Xue;Panpan Wang;Panpan Wang;Gao Tu;Gao Tu;Fengyuan Yang;Fengyuan Yang
Dongxu Yang;Linqing Wang;Ming Kai;Dan Li
Yang Shu;Weiwei Xue;Xiaoying Xu;Zhimin Jia
Qifeng Bai;Shuo Liu;Yanan Tian;Tingyang Xu
Yuanyuan Yue;Xingguo Chen;Jin Qin;Xiaojun Yao
Cunji Gao;Xiao Liu;Xiaojie Jin;Jiang Wu
Wenying He;Ying Li;Hongzong Si;Yuming Dong
C. X. Xue;Ruisheng Zhang;Huanxiang Liu;Xiaojun Yao
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