The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where De-Shuang Huang sits on this spectrum.
This scientist: 487 publications — 93rd percentile
93% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where De-Shuang Huang sits on this spectrum.
This scientist: 80 D-Index — 93rd percentile
93% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
De-Shuang Huang is a researcher affiliated with Tongji University in China, with a strong focus on the intersection of biochemistry, genetics, molecular biology, and computer science. Their work spans multiple subfields, including molecular biology, computer vision and pattern recognition, cancer research, artificial intelligence, and biomedical engineering.
The research topics prominently addressed by De-Shuang Huang include machine learning applications in bioinformatics, cancer-related molecular mechanisms, genomics and chromatin dynamics, RNA and protein synthesis mechanisms, circular RNAs in diseases, gene expression, cancer classification, and microRNA in disease regulation.
Frequent publication venues for their work include:
Their collaboration network features several frequent co-authors, including Qinhu Zhang, Zhu-Hong You, Valeriya Gribova, Changan Yuan, and Siguo Wang.
Recent publications by De-Shuang Huang comprise:
De-Shuang Huang has contributed to numerous publications released by Springer Science+Business Media, including titles such as "Intelligent Computing Theories and Application," "Intelligent Computing Methodologies," "Advanced Intelligent Computing Technology and Applications," and "Applied Intelligence," spanning from 2020 to 2024.
They have been recognized as a Fellow of the International Association for Pattern Recognition (IAPR) since 2014, an acknowledgment based on their contributions to neural networks and biological data processing.
Can-Yi Lu;Hai Min;Zhong-Qiu Zhao;Lin Zhu
Xiao-Feng Wang;De-Shuang Huang;Huan Xu
De-Shuang Huang
Wei Jia;De-Shuang Huang
De-Shuang Huang;Wei Jia;David Zhang
De-Shuang Huang;Ji-Xiang Du
Xiao-Feng Wang;De-Shuang Huang;Ji-Xiang Du;Huan Xu
Yang Zhao;De-Shuang Huang;Wei Jia
De-Shuang Huang;Chun-Hou Zheng
Jinde Cao;Jinde Cao;De-Shuang Huang;Yuzhong Qu
Bin Liu;Fan Yang;De-Shuang Huang;Kuo-Chen Chou;Kuo-Chen Chou
Bo Li;Chun-Hou Zheng;De-Shuang Huang
Rongxiang Hu;Wei Jia;Haibin Ling;Deshuang Huang
Li Shang;De-Shuang Huang;Ji-Xiang Du;Chun-Hou Zheng
Unknown
Zhu-Hong You;Ying-Ke Lei;Jie Gui;De-Shuang Huang
De-Shuang Huang
Unknown
Jun Feng Xia;Jun Feng Xia;Xing Ming Zhao;Jiangning Song;Jiangning Song;De Shuang Huang
Chun-Hou Zheng;De-Shuang Huang;Lei Zhang;Xiang-Zhen Kong
Bing Wang;Peng Chen;Peng Chen;De-Shuang Huang;Jing-jing Li
De-Shuang Huang;Xiao-Ping Zhang;Guang-Bin Huang
Zhen Shen;Wenzheng Bao;De-Shuang Huang
Di Wu;Si-Jia Zheng;Xiao-Ping Zhang;Chang-An Yuan
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