Qiang Liu
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Face and Expression Recognition 13
- Advanced Neural Network Applications 11
- Advanced Image and Video Retrieval Techniques 11
Qiang Liu
151 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 869
- Signal Processing 390
- Computational Mathematics 19
- Computer Networks and Communications 617
Countries citing papers authored by Qiang Liu
This map shows the geographic impact of Qiang 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 Qiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Liu more than expected).
Fields of papers citing papers by Qiang Liu
This network shows the impact of papers produced by Qiang 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 Qiang Liu. The network helps show where Qiang Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiang 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 71 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 69 | |
| 8 | Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach | 2021 | 3 |
| 9 | Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection | 2020 | 6 |
| 10 | 2018 | 59 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 4 | |
| 13 | On the Discrimination-Generalization Tradeoff in GANs | 2018 | 3 |
| 14 | Stein Variational Adaptive Importance Sampling. | 2017 | 2 |
| 15 | A Novel Image Segmentation Method Based on An Improved Bacterial Foraging Optimization Algorithm. | 2017 | 2 |
| 16 | Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy | 2014 | 48 |
| 17 | Belief propagation for structured decision making | 2012 | 5 |
| 18 | Learning with Blocks: Composite Likelihood and Contrastive Divergence | 2010 | 24 |
| 19 | Particle Filtered MCMC-MLE with Connections to Contrastive Divergence | 2010 | 11 |
| 20 | NEW CHANGE DETECTION MODELS FOR OBJECT-BASED ENCODING OF PATIENT MONITORING VIDEO | 2005 | 2 |
About Qiang Liu
Qiang Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 164 papers that have together received 2.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Machine Learning and ELM (13 papers), Face and Expression Recognition (13 papers), Adversarial Robustness in Machine Learning (11 papers), Advanced Neural Network Applications (11 papers), Recommender Systems and Techniques (11 papers), Anomaly Detection Techniques and Applications (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (869 citations), Signal Processing (390 citations), Computational Mathematics (19 citations) and Computer Networks and Communications (617 citations). Qiang Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Erxue Min, Jianjing Cui, Jun Long, Shu Wu, Jianping Yin, Xifeng Guo, Gen Zhang, Wentao Zhao, Victor C. M. Leung and Pan Li. Their work appears in journals such as IEEE Access, Remote Sensing, Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based 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.