Danni Chen
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
- Pharmaceutical and Antibiotic Environmental Impacts
- Energy and Environment Impacts
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- Recycling and Waste Management Techniques
Papers in
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- Advanced Neural Network Applications 3
- Face and Expression Recognition 2
- Generative Adversarial Networks and Image Synthesis 2
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- AI in cancer detection 2
- Co-authors
- Yingbo Dong (2 shared papers)Hai Lin (2 shared papers)Tingting Yin (1 shared paper)Jingyun Shi (1 shared paper)Yuanyuan Shi (1 shared paper)Wei He (1 shared paper)Weiwen Liu (2 shared papers)Zhen-Mei Liu (4 shared papers)
In The Last Decade
Danni Chen
21 papers receiving 376 citations
Peers
Comparison fields: 5 of 103
- Pollution 132
- Industrial and Manufacturing Engineering 58
- Signal Processing 46
- Computer Vision and Pattern Recognition 76
- Neurology 18
Countries citing papers authored by Danni Chen
This map shows the geographic impact of Danni Chen'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 Danni Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Chen more than expected).
Fields of papers citing papers by Danni Chen
This network shows the impact of papers produced by Danni Chen. 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 Danni Chen. The network helps show where Danni Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Chen, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 136 | |
| 2 | 2017 | 56 | |
| 3 | 2019 | 27 | |
| 4 | 2019 | 26 | |
| 5 | 2023 | 26 | |
| 6 | 2015 | 26 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2022 | 1 |
About Danni Chen
Danni Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Pollution and Neurology, having authored 23 papers that have together received 388 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Environmental Impact and Sustainability (2 papers), Face and Expression Recognition (2 papers), AI in cancer detection (2 papers), Energy, Environment, Economic Growth (2 papers), Energy and Environment Impacts (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Pollution (132 citations), Industrial and Manufacturing Engineering (58 citations), Signal Processing (46 citations), Computer Vision and Pattern Recognition (76 citations) and Neurology (18 citations). Danni Chen has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Yingbo Dong, Hai Lin, Tingting Yin, Jingyun Shi, Yuanyuan Shi, Wei He, Weiwen Liu, Zhen-Mei Liu, Patrick P. K. Chan and Fei Zhang. Their work appears in journals such as Environmental Science and Pollution Research, Neurocomputing, Biotechnology Letters, Brain Research and Expert Systems with 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.