Langming Liu
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 1
- Neural Networks and Applications 1
- Semantic Web and Ontologies 1
- Speech and dialogue systems 1
- Privacy-Preserving Technologies in Data 1
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- Recommender Systems and Techniques 3
- Web Data Mining and Analysis 1
- Co-authors
- Jing Jiang (1 shared paper)Chengqi Zhang (1 shared paper)Guodong Long (1 shared paper)Tianyi Zhou (1 shared paper)Kai Qin (1 shared paper)Wenqi Fan (1 shared paper)Xiangyu Zhao (1 shared paper)Wanyu Wang (1 shared paper)
- Journals
- European Heart Journal (1 paper)Journal of Materials Science Materials in Electronics (1 paper)Neurocomputing (1 paper)UTS ePRESS (University of Technology Sydney) (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Langming Liu
5 papers receiving 402 citations
Langming Liu's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 145
- Artificial Intelligence 162
- Computer Graphics and Computer-Aided Design 11
- Health Informatics 3
- Media Technology 18
Countries citing papers authored by Langming Liu
This map shows the geographic impact of Langming Liu'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 Langming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Langming Liu more than expected).
Fields of papers citing papers by Langming Liu
This network shows the impact of papers produced by Langming Liu. 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 Langming Liu. The network helps show where Langming Liu may publish in the future.
Co-authors
The 19 scholars most cited alongside Langming Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Conference on Neural Information Processing Systems Hit paper breakdown → | 2019 | 349 |
| 2 | 2023 | 34 | |
| 3 | 2017 | 20 | |
| 4 | 2021 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 |
About Langming Liu
Langming Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Mechanical Engineering, having authored 7 papers that have together received 406 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), ZnO doping and properties (1 paper), Web Data Mining and Analysis (1 paper), Topic Modeling (1 paper), Neural Networks and Applications (1 paper), Semantic Web and Ontologies (1 paper), Speech and dialogue systems (1 paper) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Artificial Intelligence (162 citations), Computer Graphics and Computer-Aided Design (11 citations), Health Informatics (3 citations) and Media Technology (18 citations). Langming Liu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jing Jiang, Chengqi Zhang, Guodong Long, Tianyi Zhou, Kai Qin, Wenqi Fan, Xiangyu Zhao, Wanyu Wang, Ruidi Li and Yiqi Wang. Their work appears in journals such as European Heart Journal, Journal of Materials Science Materials in Electronics, Neurocomputing, UTS ePRESS (University of Technology Sydney) and arXiv (Cornell University).
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.