Qingfeng Wu
Impact in
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- Emotion and Mood Recognition
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- Image Retrieval and Classification Techniques 5
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- Topic Modeling 10
- Anomaly Detection Techniques and Applications 5
- Natural Language Processing Techniques 5
- Co-authors
- Xiaowei Chen (2 shared papers)Yingdong Wang (10 shared papers)Ming Qiu (2 shared papers)Zhiqiang Zhang (2 shared papers)Haiyan Wu (4 shared papers)Changle Zhou (3 shared papers)Haiyu Song (1 shared paper)Shaoyun Shi (2 shared papers)
- Journals
- Optics Express (2 papers)Sensors (2 papers)Computing (1 paper)Food Chemistry (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Qingfeng Wu
74 papers receiving 986 citations
Peers
Comparison fields: 5 of 127
- Experimental and Cognitive Psychology 386
- Human-Computer Interaction 130
- Cognitive Neuroscience 394
- Complementary and alternative medicine 56
- Artificial Intelligence 225
Countries citing papers authored by Qingfeng Wu
This map shows the geographic impact of Qingfeng Wu'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 Qingfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Wu more than expected).
Fields of papers citing papers by Qingfeng Wu
This network shows the impact of papers produced by Qingfeng Wu. 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 Qingfeng Wu. The network helps show where Qingfeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng Wu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 253 | |
| 2 | 2018 | 155 | |
| 3 | 2021 | 84 | |
| 4 | Feature extraction and automatic recognition of plant leaf using artificial neural network | 2007 | 56 |
| 5 | 2021 | 53 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2005 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 19 | |
| 12 | 1998 | 17 | |
| 13 | 1998 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2020 | 10 |
About Qingfeng Wu
Qingfeng Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Information Systems, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (11 papers), Topic Modeling (10 papers), EEG and Brain-Computer Interfaces (8 papers), Traditional Chinese Medicine Studies (6 papers), Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Image Retrieval and Classification Techniques (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (386 citations), Human-Computer Interaction (130 citations), Cognitive Neuroscience (394 citations), Complementary and alternative medicine (56 citations) and Artificial Intelligence (225 citations). Qingfeng Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaowei Chen, Yingdong Wang, Ming Qiu, Zhiqiang Zhang, Haiyan Wu, Changle Zhou, Haiyu Song, Shaoyun Shi, Kenneth R. Castleman and Chaonan Wang. Their work appears in journals such as Optics Express, Sensors, Computing, Food Chemistry and International Journal of Biological Macromolecules.
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.