Linlu Qiu
Impact in
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
-
- Fire Detection and Safety Systems
Papers in
-
- Video Surveillance and Tracking Methods 2
- Face recognition and analysis 1
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Jiangmiao Pang (2 shared papers)Trevor J. Darrell (2 shared papers)Haofeng Chen (2 shared papers)Fisher Yu (2 shared papers)Qi Li (1 shared paper)Xia Li (1 shared paper)T. Huang (1 shared paper)Tobias Fischer (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Communications (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)OpenBU (Boston University) (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Linlu Qiu
9 papers receiving 496 citations
Linlu Qiu's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 382
- Safety, Risk, Reliability and Quality 48
- Artificial Intelligence 141
- Aerospace Engineering 87
- Health Informatics 5
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 | 340 |
| 2 | 2023 | 92 | |
| 3 | 2024 | 35 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 15 | |
| 6 | 2024 | 10 | |
| 7 | 2021 | 6 | |
| 8 | 2026 | 2 | |
| 9 | 2024 | 1 |
About Linlu Qiu
Linlu Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Social Psychology and Aerospace Engineering, having authored 9 papers that have together received 523 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), Biomedical Text Mining and Ontologies (1 paper), UAV Applications and Optimization (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (382 citations), Safety, Risk, Reliability and Quality (48 citations), Artificial Intelligence (141 citations), Aerospace Engineering (87 citations) and Health Informatics (5 citations). Linlu Qiu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jiangmiao Pang, Trevor J. Darrell, Haofeng Chen, Fisher Yu, Qi Li, Xia Li, T. Huang, Tobias Fischer, Peter Martin Shaw and Yoon Cheol Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Communications, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and OpenBU (Boston 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.