H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 75 Citations 19,363 354 World Ranking 601 National Ranking 49

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to multimedia content analysis and recognition

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of investigation include Artificial intelligence, Information retrieval, Pattern recognition, Machine learning and Image retrieval. His research links Graph with Artificial intelligence. His study in the field of Relevance, Ranking and Query expansion also crosses realms of Set.

His work on Sparse approximation and Hidden Markov model as part of general Pattern recognition research is frequently linked to Locality-sensitive hashing and K-independent hashing, bridging the gap between disciplines. His work on Support vector machine as part of general Machine learning study is frequently connected to Space, TRECVID and Disease progression, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Image retrieval research integrates issues from Similitude and Search engine indexing.

His most cited work include:

  • Tag ranking (456 citations)
  • 3-D Object Retrieval and Recognition With Hypergraph Analysis (453 citations)
  • Unified Video Annotation via Multigraph Learning (412 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Machine learning, Information retrieval and Image. His research ties Computer vision and Artificial intelligence together. Meng Wang usually deals with Pattern recognition and limits it to topics linked to Robustness and Factorization.

The study incorporates disciplines such as Representation, Data mining and Metric in addition to Machine learning. In the subject of general Information retrieval, his work in Ranking and Relevance is often linked to Scheme and Set, thereby combining diverse domains of study. Meng Wang focuses mostly in the field of Feature extraction, narrowing it down to matters related to Visualization and, in some cases, Image retrieval.

He most often published in these fields:

  • Artificial intelligence (64.82%)
  • Pattern recognition (31.13%)
  • Machine learning (21.54%)

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

  • Artificial intelligence (64.82%)
  • Pattern recognition (31.13%)
  • Machine learning (21.54%)

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

Artificial intelligence, Pattern recognition, Machine learning, Graph and Image are his primary areas of study. Artificial intelligence is frequently linked to Natural language processing in his study. His work deals with themes such as Subspace topology, Cluster analysis, Salient and Manifold, which intersect with Pattern recognition.

He combines subjects such as Embedding, Similarity, Training set and Metric with his study of Machine learning. His Graph research is multidisciplinary, incorporating perspectives in Theoretical computer science, Artificial neural network, Recommender system, Structure and Graph. Meng Wang interconnects Visualization and Benchmark in the investigation of issues within Image.

Between 2019 and 2021, his most popular works were:

  • LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (120 citations)
  • Generative Adversarial Active Learning for Unsupervised Outlier Detection (65 citations)
  • Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation (48 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Meng Wang focuses on Artificial intelligence, Pattern recognition, Discriminative model, Robustness and Image. His Artificial intelligence research includes themes of Machine learning and Computer vision. His Machine learning study integrates concerns from other disciplines, such as Embedding and Representation.

His Pattern recognition research is multidisciplinary, relying on both Salient, Outlier, Feature and Manifold. As part of the same scientific family, Meng Wang usually focuses on Discriminative model, concentrating on Similarity learning and intersecting with Relevance, Document retrieval, Similarity and Disjoint sets. His Robustness research incorporates elements of Algorithm and Sparse approximation.

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

Tag ranking

Dong Liu;Xian-Sheng Hua;Linjun Yang;Meng Wang.
the web conference (2009)

574 Citations

Unified Video Annotation via Multigraph Learning

Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang.
IEEE Transactions on Circuits and Systems for Video Technology (2009)

501 Citations

3-D Object Retrieval and Recognition With Hypergraph Analysis

Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji.
IEEE Transactions on Image Processing (2012)

485 Citations

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen.
IEEE Transactions on Image Processing (2013)

409 Citations

Multimodal Deep Autoencoder for Human Pose Recovery

Chaoqun Hong;Jun Yu;Jian Wan;Dacheng Tao.
IEEE Transactions on Image Processing (2015)

359 Citations

Street-to-shop: cross-scenario clothing retrieval via parts alignment and auxiliary set

Si Liu;Zheng Song;Meng Wang;Changsheng Xu.
acm multimedia (2012)

357 Citations

Multimodal Graph-Based Reranking for Web Image Search

Meng Wang;Hao Li;Dacheng Tao;Ke Lu.
IEEE Transactions on Image Processing (2012)

347 Citations

Crowded Scene Analysis: A Survey

Teng Li;Huan Chang;Meng Wang;Bingbing Ni.
IEEE Transactions on Circuits and Systems for Video Technology (2015)

343 Citations

Adaptive Hypergraph Learning and its Application in Image Classification

Jun Yu;Dacheng Tao;Meng Wang.
IEEE Transactions on Image Processing (2012)

335 Citations

Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation

Meng Wang;Xian-Sheng Hua;Jinhui Tang;Richang Hong.
IEEE Transactions on Multimedia (2009)

319 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Meng Wang

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 129

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 124

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 116

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 90

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 89

Tao Mei

Tao Mei

Jingdong (China)

Publications: 85

Jinhui Tang

Jinhui Tang

Nanjing University of Science and Technology

Publications: 75

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 74

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 67

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 65

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 65

Zheng-Jun Zha

Zheng-Jun Zha

University of Science and Technology of China

Publications: 62

Xian-Sheng Hua

Xian-Sheng Hua

Microsoft (United States)

Publications: 60

Yue Gao

Yue Gao

Tsinghua University

Publications: 55

Dapeng Tao

Dapeng Tao

Yunnan University

Publications: 54

Something went wrong. Please try again later.