D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 4,447 140 World Ranking 4992 National Ranking 2448

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Gene
  • Statistics

His primary areas of study are Artificial intelligence, Data mining, Machine learning, Genome and Pattern recognition. His study in Random forest and Feature is carried out as part of his Artificial intelligence studies. As a member of one scientific family, Jijun Tang mostly works in the field of Data mining, focusing on Support vector machine and, on occasion, Fingerprint.

His work carried out in the field of Machine learning brings together such families of science as Identification, Information integration and Benchmark. His biological study spans a wide range of topics, including Organism and Computational biology. His Convolutional neural network study in the realm of Pattern recognition interacts with subjects such as Data resolution.

His most cited work include:

  • Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information (132 citations)
  • Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information (132 citations)
  • Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. (117 citations)

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

His scientific interests lie mostly in Artificial intelligence, Genome, Computational biology, Algorithm and Pattern recognition. His Artificial intelligence study frequently draws connections between adjacent fields such as Machine learning. The Machine learning study combines topics in areas such as Field and Data mining, Identification.

Jijun Tang combines subjects such as Evolutionary biology, Phylogenetics and Inference with his study of Genome. His Computational biology research integrates issues from Ancestral reconstruction, DNA methylation, Spectral clustering, DNA microarray and DNA sequencing. His Pattern recognition study integrates concerns from other disciplines, such as Cross-validation, Filter and Kernel fusion.

He most often published in these fields:

  • Artificial intelligence (49.37%)
  • Genome (32.91%)
  • Computational biology (37.97%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (49.37%)
  • Computational biology (37.97%)
  • Multiple kernel learning (15.61%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Computational biology, Multiple kernel learning, Pattern recognition and Benchmark. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Identification. His study looks at the relationship between Machine learning and topics such as Field, which overlap with Artificial neural network.

His studies deal with areas such as Cancer, Spectral clustering, Proteomics, Whole genome sequencing and CpG site as well as Computational biology. Jijun Tang interconnects Protein structure, Probability distribution and Multivariate statistics in the investigation of issues within Pattern recognition. He focuses mostly in the field of Benchmark, narrowing it down to matters related to ENCODE and, in some cases, Feature selection and Extrapolation.

Between 2018 and 2021, his most popular works were:

  • Identification of drug-side effect association via multiple information integration with centered kernel alignment (76 citations)
  • Identification of drug-side effect association via multiple information integration with centered kernel alignment (76 citations)
  • Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC (51 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Gene
  • Statistics

Artificial intelligence, Multiple kernel learning, Benchmark, Machine learning and Kernel are his primary areas of study. His work in Artificial intelligence covers topics such as Pattern recognition which are related to areas like Multivariate statistics. Jijun Tang has included themes like Gene expression and Epigenetics in his Benchmark study.

His work on Multi-label classification as part of general Machine learning research is frequently linked to Bipartite graph, thereby connecting diverse disciplines of science. His Kernel research also works with subjects such as

  • Extrapolation and ENCODE most often made with reference to Precision and recall,
  • Similarity which intersects with area such as Survival analysis, Spectral clustering and Cancer. His study in Support vector machine is interdisciplinary in nature, drawing from both Histogram, Subcellular localization and Evolutionary information.

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

Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information

Leyi Wei;Jijun Tang;Jijun Tang;Quan Zou.
Information Sciences (2017)

159 Citations

Steps toward accurate reconstructions of phylogenies from gene-order data

Bernard M. E. Moret;Jijun Tang;Li-San Wang;Tandy Warnow.
Journal of Computer and System Sciences (2002)

156 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)

143 Citations

Prediction of human protein subcellular localization using deep learning

Leyi Wei;Leyi Wei;Yijie Ding;Ran Su;Ran Su;Jijun Tang.
Journal of Parallel and Distributed Computing (2017)

142 Citations

Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data

Bernard M. E. Moret;Adam C. Siepel;Jijun Tang;Tao Liu.
workshop on algorithms in bioinformatics (2002)

122 Citations

Scaling up accurate phylogenetic reconstruction from gene-order data

Jijun Tang;Bernard M. E. Moret.
intelligent systems in molecular biology (2003)

113 Citations

Identification of drug-target interactions via multiple information integration

Yijie Ding;Jijun Tang;Jijun Tang;Fei Guo.
Information Sciences (2017)

108 Citations

Identification of drug-side effect association via multiple information integration with centered kernel alignment

Yijie Ding;Yijie Ding;Jijun Tang;Jijun Tang;Fei Guo.
Neurocomputing (2019)

101 Citations

PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only

Leyi Wei;Pengwei Xing;Jijun Tang;Quan Zou.
IEEE Transactions on Nanobioscience (2017)

94 Citations

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC

Yinan Shen;Jijun Tang;Jijun Tang;Fei Guo.
Journal of Theoretical Biology (2019)

92 Citations

Best Scientists Citing Jijun Tang

Quan Zou

Quan Zou

University of Electronic Science and Technology of China

Publications: 75

Bernard M. E. Moret

Bernard M. E. Moret

École Polytechnique Fédérale de Lausanne

Publications: 32

Leyi Wei

Leyi Wei

Shandong University

Publications: 28

Wei Chen

Wei Chen

North China University of Science and Technology

Publications: 24

Hao Lin

Hao Lin

University of Electronic Science and Technology of China

Publications: 18

Monique Turmel

Monique Turmel

Université Laval

Publications: 14

Claude Lemieux

Claude Lemieux

Université Laval

Publications: 14

Zhu-Hong You

Zhu-Hong You

Chinese Academy of Sciences

Publications: 13

David Sankoff

David Sankoff

University of Ottawa

Publications: 12

Peter F. Stadler

Peter F. Stadler

Leipzig University

Publications: 11

Martin Middendorf

Martin Middendorf

Leipzig University

Publications: 11

Chung-I Wu

Chung-I Wu

Sun Yat-sen University

Publications: 10

Bin Liu

Bin Liu

Nanjing University

Publications: 10

Jens Stoye

Jens Stoye

Bielefeld University

Publications: 9

Tandy Warnow

Tandy Warnow

University of Illinois at Urbana-Champaign

Publications: 9

Dong-Qing Wei

Dong-Qing Wei

Shanghai Jiao Tong University

Publications: 8

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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