Meng Wang
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Artificial Intelligence top 0.05%
- Advanced Graph Neural Networks
Papers in
-
- Advanced Image and Video Retrieval Techniques 220
- Image Retrieval and Classification Techniques 124
- Multimodal Machine Learning Applications 117
- Video Analysis and Summarization 106
- Human Pose and Action Recognition 100
- Video Surveillance and Tracking Methods 90
-
- Domain Adaptation and Few-Shot Learning 80
- Co-authors
- Richang Hong (138 shared papers)Tat‐Seng Chua (49 shared papers)Xian‐Sheng Hua (45 shared papers)Xiangnan He (9 shared papers)Zheng-Jun Zha (43 shared papers)Dacheng Tao (15 shared papers)Shuicheng Yan (61 shared papers)Yongdong Zhang (5 shared papers)
- Journals
- IEEE Transactions on Multimedia (44 papers)IEEE Transactions on Image Processing (44 papers)IEEE Transactions on Knowledge and Data Engineering (25 papers)IEEE Transactions on Circuits and Systems for Video Technology (23 papers)IEEE Transactions on Neural Networks and Learning Systems (21 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Meng Wang
902 papers receiving 30.9k citations
Meng Wang's Hit Papers
Peers
Comparison fields: 5 of 216
- Computer Vision and Pattern Recognition 18.7k
- Artificial Intelligence 11.1k
- Information Systems 6.0k
- Media Technology 2.2k
- Computational Mathematics 115
Countries citing papers authored by Meng Wang
This map shows the geographic impact of Meng Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Wang more than expected).
Fields of papers citing papers by Meng Wang
This network shows the impact of papers produced by Meng Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meng Wang. The network helps show where Meng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 978 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LightGCN Hit paper breakdown → | 2020 | 2587 |
| 2 | 3-D Object Retrieval and Recognition With Hypergraph Analysis Hit paper breakdown → | 2012 | 538 |
| 3 | Multimodal Deep Autoencoder for Human Pose Recovery Hit paper breakdown → | 2015 | 513 |
| 4 | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Hit paper breakdown → | 2020 | 424 |
| 5 | A Neural Influence Diffusion Model for Social Recommendation Hit paper breakdown → | 2019 | 401 |
| 6 | Learning to Rank Using User Clicks and Visual Features for Image Retrieval Hit paper breakdown → | 2014 | 400 |
| 7 | Unified Video Annotation via Multigraph Learning Hit paper breakdown → | 2009 | 399 |
| 8 | Tag ranking Hit paper breakdown → | 2009 | 396 |
| 9 | Multi-cue Correlation Filters for Robust Visual Tracking Hit paper breakdown → | 2018 | 381 |
| 10 | Adaptive Hypergraph Learning and its Application in Image Classification Hit paper breakdown → | 2012 | 342 |
| 11 | A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Hit paper breakdown → | 2022 | 285 |
| 12 | Consolidating virtual machines with dynamic bandwidth demand in data centers Hit paper breakdown → | 2011 | 279 |
| 13 | Low-Light Image Enhancement With Semi-Decoupled Decomposition Hit paper breakdown → | 2020 | 270 |
| 14 | Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion Hit paper breakdown → | 2020 | 244 |
| 15 | DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation Hit paper breakdown → | 2020 | 244 |
| 16 | 2019 | 232 | |
| 17 | 2012 | 230 | |
| 18 | 2012 | 228 | |
| 19 | 2018 | 224 | |
| 20 | 2014 | 207 |
About Meng Wang
Meng Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computational Mechanics, having authored 978 papers that have together received 31.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (220 papers), Image Retrieval and Classification Techniques (124 papers), Multimodal Machine Learning Applications (117 papers), Video Analysis and Summarization (106 papers), Human Pose and Action Recognition (100 papers), Video Surveillance and Tracking Methods (90 papers), Domain Adaptation and Few-Shot Learning (80 papers) and Recommender Systems and Techniques (66 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (18.7k citations), Artificial Intelligence (11.1k citations), Information Systems (6.0k citations), Media Technology (2.2k citations) and Computational Mathematics (115 citations). Meng Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Richang Hong, Tat‐Seng Chua, Xian‐Sheng Hua, Xiangnan He, Zheng-Jun Zha, Dacheng Tao, Shuicheng Yan, Yongdong Zhang, Le Wu and Xiang Wang. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.