Wei Qiu
Impact in
-
- Toxic Organic Pollutants Impact
- Air Quality and Health Impacts
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Wireless Signal Modulation Classification
Papers in
-
- Topic Modeling 3
- Reinforcement Learning in Robotics 3
- Natural Language Processing Techniques 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Mosha Chen (2 shared papers)Biao Chang (1 shared paper)Han Dou (1 shared paper)Shu Tao (1 shared paper)Yuan Liu (1 shared paper)Fei Huang (1 shared paper)Rui Wang (1 shared paper)Chuanqi Tan (1 shared paper)
- Journals
- Neurocomputing (1 paper)Journal of Learning Analytics (1 paper)Journal of Geochemical Exploration (1 paper)BMC Public Health (1 paper)Linear Algebra and its Applications (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Wei Qiu
44 papers receiving 388 citations
Peers
Comparison fields: 5 of 98
- Health, Toxicology and Mutagenesis 102
- Artificial Intelligence 161
- Neurology 23
- Atmospheric Science 42
- Health Information Management 9
Countries citing papers authored by Wei Qiu
This map shows the geographic impact of Wei 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 Wei Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Qiu more than expected).
Fields of papers citing papers by Wei Qiu
This network shows the impact of papers produced by Wei 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 Wei Qiu. The network helps show where Wei Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2020 | 75 | |
| 3 | 2016 | 40 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 12 | |
| 7 | 2009 | 11 | |
| 8 | An enhanced approach to adaptive processing of the brain stem auditory evoked potential. | 1994 | 7 |
| 9 | 2018 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 1998 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 3 | |
| 19 | Learning Efficient Multi-agent Communication: An Information Bottleneck Approach | 2020 | 3 |
| 20 | 2023 | 3 |
About Wei Qiu
Wei Qiu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 49 papers that have together received 400 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Advanced Measurement and Detection Methods (3 papers), Reinforcement Learning in Robotics (3 papers), Online Learning and Analytics (3 papers), Plant nutrient uptake and metabolism (2 papers), Blind Source Separation Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (102 citations), Artificial Intelligence (161 citations), Neurology (23 citations), Atmospheric Science (42 citations) and Health Information Management (9 citations). Wei Qiu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Mosha Chen, Biao Chang, Han Dou, Shu Tao, Yuan Liu, Fei Huang, Rui Wang, Chuanqi Tan, Zhutian Yang and Arumugam Nallanathan. Their work appears in journals such as Neurocomputing, Journal of Learning Analytics, Journal of Geochemical Exploration, BMC Public Health and Linear Algebra and its Applications.
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.