D-Index & Metrics Best Publications

Xiangxiang Zeng

Hunan University
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 45 Citations 6,354 159 World Ranking 4660 National Ranking 434

Overview

What is he best known for?

The fields of study Xiangxiang Zeng is best known for:

Gene
DNA
Machine learning

Artificial intelligence is closely attributed to Pattern recognition (psychology) in his study. In most of his Pattern recognition (psychology) studies, his work intersects topics such as Artificial intelligence. Xiangxiang Zeng regularly links together related areas like Biological network in his Computational biology studies. Many of his studies involve connections with topics such as Computational biology and Biological network. He merges many fields, such as Bioinformatics and Data mining, in his writings. He integrates many fields in his works, including Data mining and Bioinformatics. Gene and Function (biology) are two areas of study in which he engages in interdisciplinary research. His research on Function (biology) frequently links to adjacent areas such as Genetics. In most of his Genetics studies, his work intersects topics such as microRNA.

His most cited work include:

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties (428 citations)
deepDR: a network-based deep learning approach to in silico drug repositioning (275 citations)
A comprehensive overview and evaluation of circular RNA detection tools (269 citations)

What are the main themes of his work throughout his whole career to date

Xiangxiang Zeng combines Artificial intelligence and Deep learning in his research. Gene and Biochemistry are two areas of study in which Xiangxiang Zeng engages in interdisciplinary work. Biochemistry and Gene are two areas of study in which he engages in interdisciplinary research. Xiangxiang Zeng integrates Machine learning with Data mining in his research. With his scientific publications, his incorporates both Data mining and Machine learning. He conducted interdisciplinary study in his works that combined Algorithm and Programming language. In his works, he conducts interdisciplinary research on Programming language and Algorithm. He connects Computational biology with Genetics in his study. Borrowing concepts from Bioinformatics, he weaves in ideas under Genetics.

Xiangxiang Zeng most often published in these fields:

Artificial intelligence (69.44%)
Gene (34.26%)
Machine learning (34.26%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

Xiangxiang Zeng;Xuan Zhang;Quan Zou.
Briefings in Bioinformatics (2016)

309 Citations

A comprehensive overview and evaluation of circular RNA detection tools.

Xiangxiang Zeng;Wei Lin;Maozu Guo;Quan Zou.
PLOS Computational Biology (2017)

293 Citations

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources

Yuansheng Liu;Xiangxiang Zeng;Zengyou He;Quan Zou.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017)

269 Citations

Similarity computation strategies in the microRNA-disease network: a survey

Quan Zou;Jinjin Li;Li Song;Xiangxiang Zeng.
Briefings in Functional Genomics (2015)

238 Citations

deepDR: a network-based deep learning approach to in silico drug repositioning.

Xiangxiang Zeng;Siyi Zhu;Xiangrong Liu;Yadi Zhou.
Bioinformatics (2019)

238 Citations

Prediction and Validation of Disease Genes Using HeteSim Scores

Xiangxiang Zeng;Yuanlu Liao;Yuansheng Liu;Quan Zou.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017)

197 Citations

Prediction of potential disease-associated microRNAs using structural perturbation method.

Xiangxiang Zeng;Li Liu;Linyuan Lü;Quan Zou.
Bioinformatics (2018)

188 Citations

nDNA-prot: Identification of DNA-binding proteins based on unbalanced classification

Li Song;Dapeng Li;Xiangxiang Zeng;Yunfeng Wu.
BMC Bioinformatics (2014)

174 Citations

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

Quan Zou;Shixiang Wan;Shixiang Wan;Ying Ju;Jijun Tang;Jijun Tang.
BMC Systems Biology (2016)

157 Citations

Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources

Tseren-Onolt Ishdorj;Alberto Leporati;Linqiang Pan;Xiangxiang Zeng.
Theoretical Computer Science (2010)

150 Citations

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Xiangxiang Zeng

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Xiangxiang Zeng is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Xiangxiang Zeng most often published in these fields:

Best Publications

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