H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 34 Citations 6,049 258 World Ranking 6150 National Ranking 2964

Research.com Recognitions

Awards & Achievements

2014 - ACM Distinguished Member

2011 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Geometry

His scientific interests lie mostly in Segmentation, Artificial intelligence, Image segmentation, Combinatorics and Algorithm. His research on Segmentation often connects related areas such as Image processing. His Artificial intelligence study combines topics in areas such as Polygon mesh, Computer vision and Pattern recognition.

The various areas that Danny Z. Chen examines in his Image segmentation study include Optimization problem, Convex hull and Lymph. Danny Z. Chen works mostly in the field of Combinatorics, limiting it down to topics relating to Discrete mathematics and, in certain cases, Two-dimensional space, Sequence and Space. His Algorithm research integrates issues from Software, Dosimetry and Graph.

His most cited work include:

  • Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach (544 citations)
  • Task scheduling and voltage selection for energy minimization (340 citations)
  • Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation (195 citations)

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

Danny Z. Chen focuses on Combinatorics, Artificial intelligence, Algorithm, Segmentation and Time complexity. His Combinatorics study incorporates themes from Discrete mathematics, Parallel algorithm and Plane. His research investigates the connection with Artificial intelligence and areas like Pattern recognition which intersect with concerns in Artificial neural network.

His research investigates the link between Algorithm and topics such as Mathematical optimization that cross with problems in Computational geometry, Any-angle path planning and Motion planning. His work on Image processing expands to the thematically related Segmentation. His Time complexity research is multidisciplinary, incorporating perspectives in Graph theory and Approximation algorithm.

He most often published in these fields:

  • Combinatorics (30.05%)
  • Artificial intelligence (24.18%)
  • Algorithm (20.42%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (24.18%)
  • Segmentation (17.37%)
  • Pattern recognition (12.91%)

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

His primary areas of investigation include Artificial intelligence, Segmentation, Pattern recognition, Deep learning and Image segmentation. Danny Z. Chen has researched Artificial intelligence in several fields, including Machine learning and Computer vision. His work in the fields of Pixel overlaps with other areas such as Market segmentation.

In his work, Class is strongly intertwined with Set, which is a subfield of Segmentation. His studies in Pattern recognition integrate themes in fields like Graph, Image, Process and Voxel. His research integrates issues of Feature, Annotation, Structure, Feature learning and Scheme in his study of Deep learning.

Between 2017 and 2021, his most popular works were:

  • Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation (62 citations)
  • Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation (28 citations)
  • A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. (26 citations)

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

  • Artificial intelligence
  • Algorithm
  • Geometry

Danny Z. Chen mainly investigates Artificial intelligence, Segmentation, Pattern recognition, Deep learning and Annotation. His research in Artificial intelligence focuses on subjects like Reduction, which are connected to Quantization, Quantization, Process and Computer vision. His research on Segmentation focuses in particular on Image segmentation.

His Pattern recognition research includes elements of Graph, Noise, Noise detection, Retina and Fundus. In his study, Object and Filter is strongly linked to Biomedical image, which falls under the umbrella field of Deep learning. Danny Z. Chen has included themes like Visualization, Magnitude and Algorithm in his Artificial neural network study.

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.

Top Publications

Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

Kang Li;Xiaodong Wu;D.Z. Chen;M. Sonka.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

741 Citations

Task scheduling and voltage selection for energy minimization

Yumin Zhang;Xiaobo Sharon Hu;Danny Z. Chen.
design automation conference (2002)

502 Citations

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang.
medical image computing and computer assisted intervention (2017)

199 Citations

Optimal Net Surface Problems with Applications

Xiaodong Wu;Danny Z. Chen.
international colloquium on automata languages and programming (2002)

170 Citations

Notch-dependent repression of miR-155 in the bone marrow niche regulates hematopoiesis in an NF-κB-dependent manner

Lin Wang;Huajia Zhang;Sonia Rodriguez;Liyun Cao.
Cell Stem Cell (2014)

160 Citations

Arc-modulated radiation therapy (AMRT): a single-arc form of intensity-modulated arc therapy.

Chao Wang;Shuang Luan;Grace Tang;Danny Z Chen.
Physics in Medicine and Biology (2008)

150 Citations

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

Jianxu Chen;Lin Yang;Yizhe Zhang;Mark S. Alber.
neural information processing systems (2016)

144 Citations

A Multiscale Model of Venous Thrombus Formation with Surface-Mediated Control of Blood Coagulation Cascade

Zhiliang Xu;Joshua Lioi;Jian Mu;Malgorzata M. Kamocka.
Biophysical Journal (2010)

138 Citations

Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane

Srinivasa Rao Arikati;Danny Z. Chen;L. Paul Chew;Gautam Das.
european symposium on algorithms (1996)

137 Citations

A framed-quadtree approach for determining Euclidean shortest paths in a 2-D environment

D.Z. Chen;R.J. Szczerba;J.J. Uhran.
international conference on robotics and automation (1997)

135 Citations

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

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