Danni Chen
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
- Pharmaceutical and Antibiotic Environmental Impacts
- Energy and Environment Impacts
- Waste Management and Disposal top 10%
- Recycling and Waste Management Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
- Face and Expression Recognition 2
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- Energy and Environment Impacts 2
- Co-authors
- Hai Lin (2 shared papers)Yingbo Dong (2 shared papers)Jingyun Shi (1 shared paper)Tingting Yin (1 shared paper)Wei He (1 shared paper)Yuanyuan Shi (1 shared paper)Zhen-Mei Liu (4 shared papers)Fei Zhang (1 shared paper)
In The Last Decade
Danni Chen
19 papers receiving 413 citations
Peers
Comparison fields: 5 of 103
- Pollution 142
- Waste Management and Disposal 62
- Signal Processing 49
- Computer Vision and Pattern Recognition 83
- Neurology 20
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 148 | |
| 2 | 2017 | 61 | |
| 3 | 2023 | 32 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2023 | 20 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2020 | 1 |
About Danni Chen
Danni Chen is a scholar working on Computer Vision and Pattern Recognition, Pollution, Computer Graphics and Computer-Aided Design, Neurology and Artificial Intelligence, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Vision and Imaging (2 papers), Acute Ischemic Stroke Management (2 papers), Face and Expression Recognition (2 papers), Energy and Environment Impacts (2 papers), Environmental Impact and Sustainability (2 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Pollution (142 citations), Waste Management and Disposal (62 citations), Signal Processing (49 citations), Computer Vision and Pattern Recognition (83 citations) and Neurology (20 citations). Danni Chen has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Hai Lin, Yingbo Dong, Jingyun Shi, Tingting Yin, Wei He, Yuanyuan Shi, Zhen-Mei Liu, Fei Zhang, Patrick P. K. Chan and Daniel So Yeung. Their work appears in journals such as Environmental Science and Pollution Research, PLoS ONE, Brain Research, Brain and Behavior and Environmental Research.
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.