Linlu Qiu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
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- Fire Detection and Safety Systems
Papers in
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- Video Surveillance and Tracking Methods 2
- Face recognition and analysis 1
- Multimodal Machine Learning Applications 1
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Trevor Darrell (2 shared papers)Fisher Yu (2 shared papers)Haofeng Chen (2 shared papers)Jiangmiao Pang (2 shared papers)Qi Li (1 shared paper)Xia Li (1 shared paper)T. Huang (1 shared paper)Fei Sha (3 shared papers)
- Journals
- Nature Communications (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Linlu Qiu
7 papers receiving 385 citations
Linlu Qiu's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 301
- Safety, Risk, Reliability and Quality 41
- Artificial Intelligence 118
- Health Informatics 4
- Aerospace Engineering 70
Countries citing papers authored by Linlu Qiu
This map shows the geographic impact of Linlu Qiu'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 Linlu Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlu Qiu more than expected).
Fields of papers citing papers by Linlu Qiu
This network shows the impact of papers produced by Linlu Qiu. 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 Linlu Qiu. The network helps show where Linlu Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlu Qiu, 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 | Quasi-Dense Similarity Learning for Multiple Object Tracking Hit paper breakdown → | 2021 | 268 |
| 2 | 2023 | 63 | |
| 3 | 2024 | 27 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2026 | 1 | |
| 9 | 2024 | 0 |
About Linlu Qiu
Linlu Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Molecular Biology and Social Psychology, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Video Surveillance and Tracking Methods (2 papers), Natural Language Processing Techniques (2 papers), Mental Health Research Topics (1 paper), Mental Health via Writing (1 paper), Face recognition and analysis (1 paper), Multimodal Machine Learning Applications (1 paper) and Nasal Surgery and Airway Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (301 citations), Safety, Risk, Reliability and Quality (41 citations), Artificial Intelligence (118 citations), Health Informatics (4 citations) and Aerospace Engineering (70 citations). Linlu Qiu has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Trevor Darrell, Fisher Yu, Haofeng Chen, Jiangmiao Pang, Qi Li, Xia Li, T. Huang, Fei Sha, Peter Shaw and Panupong Pasupat. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.