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 63 Citations 23,505 518 World Ranking 1290 National Ranking 127

Research.com Recognitions

Awards & Achievements

2006 - IEEE Fellow For contributions to information processing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

Nanning Zheng mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Feature extraction. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. His studies deal with areas such as Contextual image classification, Image and Kadir–Brady saliency detector as well as Pattern recognition.

His Computer vision study which covers Sketch that intersects with Image based, Computer graphics, Sketch-based modeling and Pixel. His Algorithm study integrates concerns from other disciplines, such as Iterative closest point, Sensor array, Point set registration and Eigendecomposition of a matrix. His study in Feature extraction is interdisciplinary in nature, drawing from both Matrix decomposition, Non-negative matrix factorization and Singular value decomposition.

His most cited work include:

  • Learning to Detect a Salient Object (1449 citations)
  • Stereo matching using belief propagation (1150 citations)
  • Salient Object Detection: A Discriminative Regional Feature Integration Approach (864 citations)

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

Nanning Zheng mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Feature extraction. His research on Artificial intelligence often connects related areas such as Machine learning. His Computer vision study combines topics from a wide range of disciplines, such as Robot and Robustness.

His work carried out in the field of Pattern recognition brings together such families of science as Artificial neural network, Object detection and Contextual image classification. His studies in Algorithm integrate themes in fields like Iterative closest point, Sensor array, Mathematical optimization and Narrowband. A large part of his Segmentation studies is devoted to Image segmentation.

He most often published in these fields:

  • Artificial intelligence (59.81%)
  • Computer vision (31.70%)
  • Pattern recognition (26.79%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (59.81%)
  • Pattern recognition (26.79%)
  • Computer vision (31.70%)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Artificial neural network. Feature, Feature extraction, Object, Object detection and Encoding are subfields of Artificial intelligence in which his conducts study. His Object detection research includes themes of Segmentation and Filter.

The Pattern recognition study which covers Benchmark that intersects with Salient. His biological study spans a wide range of topics, including Robot, Construct and Trajectory. His Algorithm course of study focuses on Robustness and Iterative closest point, Lidar and Data mining.

Between 2019 and 2021, his most popular works were:

  • Predicting COVID-19 in China Using Hybrid AI Model (53 citations)
  • Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition (30 citations)
  • A Real-Time Robotic Grasping Approach With Oriented Anchor Box (11 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

Nanning Zheng mostly deals with Artificial intelligence, Pattern recognition, Algorithm, Feature extraction and Computer vision. His Artificial intelligence study frequently draws connections between related disciplines such as Task. His Pattern recognition research includes elements of Neuromorphic engineering, Recurrent neural network, Key and Benchmark.

His Algorithm study combines topics in areas such as Image quality, Image resolution, Machine vision, Nonlinear system and Robustness. His Feature extraction research is multidisciplinary, incorporating elements of Message passing and Recursion. His research integrates issues of Robot and Convolutional neural network in his study of Computer vision.

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

Learning to Detect a Salient Object

Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

2643 Citations

Learning to Detect A Salient Object

Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang.
computer vision and pattern recognition (2007)

2641 Citations

Stereo matching using belief propagation

Jian Sun;Nan-Ning Zheng;Heung-Yeung Shum.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1678 Citations

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

De Cheng;Yihong Gong;Sanping Zhou;Jinjun Wang.
computer vision and pattern recognition (2016)

1076 Citations

Salient Object Detection: A Discriminative Regional Feature Integration Approach

Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu.
computer vision and pattern recognition (2013)

1048 Citations

Automatic Salient Object Segmentation Based on Context and Shape Prior

Huaizu Jiang;Jingdong Wang;Zejian Yuan;Tie Liu.
british machine vision conference (2011)

546 Citations

Image hallucination with primal sketch priors

Jian Sun;Nan-Ning Zheng;Hai Tao;Heung-Yeung Shum.
computer vision and pattern recognition (2003)

509 Citations

Salient Object Detection: A Discriminative Regional Feature Integration Approach

Jingdong Wang;Huaizu Jiang;Zejian Yuan;Ming-Ming Cheng.
International Journal of Computer Vision (2017)

500 Citations

Similarity Learning with Spatial Constraints for Person Re-identification

Dapeng Chen;Zejian Yuan;Badong Chen;Nanning Zheng.
computer vision and pattern recognition (2016)

350 Citations

Generalized Correntropy for Robust Adaptive Filtering

Badong Chen;Lei Xing;Haiquan Zhao;Nanning Zheng.
IEEE Transactions on Signal Processing (2016)

332 Citations

Best Scientists Citing Nanning Zheng

Badong Chen

Badong Chen

Xi'an Jiaotong University

Publications: 121

Huchuan Lu

Huchuan Lu

Dalian University of Technology

Publications: 83

Fei-Yue Wang

Fei-Yue Wang

Chinese Academy of Sciences

Publications: 76

Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

Publications: 68

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 50

Haiquan Zhao

Haiquan Zhao

Southwest Jiaotong University

Publications: 44

Zhi Liu

Zhi Liu

Shanghai University

Publications: 43

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 41

Ali Borji

Ali Borji

Verizon (United States)

Publications: 40

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 40

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 39

Dongpu Cao

Dongpu Cao

University of Waterloo

Publications: 35

Jose C. Principe

Jose C. Principe

University of Florida

Publications: 34

Yingsong Li

Yingsong Li

Harbin Engineering University

Publications: 34

Kristen Grauman

Kristen Grauman

Facebook (United States)

Publications: 33

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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