Yingyi Chen
Impact in
- Water Science and Technology top 1%
- Water Quality Monitoring Technologies
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
Papers in
-
- Water Quality Monitoring Technologies 41
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- Face and Expression Recognition 8
- Co-authors
- Daoliang Li (59 shared papers)Yeqi Liu (11 shared papers)Huihui Yu (23 shared papers)Lihua Song (3 shared papers)Chuanyang Gong (4 shared papers)Ling Yang (10 shared papers)Ling Yang (3 shared papers)Qian Zhang (2 shared papers)
- Journals
- Computers and Electronics in Agriculture (11 papers)Engineering Applications of Artificial Intelligence (6 papers)New Zealand Journal of Agricultural Research (3 papers)Applied Sciences (3 papers)Sensors (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yingyi Chen
157 papers receiving 3.4k citations
Yingyi Chen's Hit Papers
Peers
Comparison fields: 5 of 174
- Water Science and Technology 1.0k
- Environmental Engineering 628
- Industrial and Manufacturing Engineering 278
- Sensory Systems 85
- Nature and Landscape Conservation 194
Countries citing papers authored by Yingyi Chen
This map shows the geographic impact of Yingyi 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 Yingyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyi Chen more than expected).
Fields of papers citing papers by Yingyi Chen
This network shows the impact of papers produced by Yingyi 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 Yingyi Chen. The network helps show where Yingyi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingyi 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of the Artificial Neural Network Models for Water Quality Prediction Hit paper breakdown → | 2020 | 332 |
| 2 | DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction Hit paper breakdown → | 2019 | 292 |
| 3 | 2020 | 194 | |
| 4 | 2020 | 153 | |
| 5 | 2016 | 136 | |
| 6 | 2016 | 134 | |
| 7 | 2019 | 126 | |
| 8 | 2013 | 91 | |
| 9 | 2020 | 82 | |
| 10 | 2015 | 79 | |
| 11 | 2021 | 75 | |
| 12 | 2016 | 73 | |
| 13 | 2011 | 64 | |
| 14 | 2017 | 59 | |
| 15 | 2019 | 56 | |
| 16 | 2016 | 53 | |
| 17 | 2021 | 52 | |
| 18 | 2020 | 51 | |
| 19 | 2023 | 49 | |
| 20 | 2023 | 42 |
About Yingyi Chen
Yingyi Chen is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science and Industrial and Manufacturing Engineering, having authored 165 papers that have together received 3.5k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (41 papers), Water Quality Monitoring and Analysis (16 papers), Smart Agriculture and AI (13 papers), Fish Ecology and Management Studies (10 papers), Soil and Land Suitability Analysis (10 papers), Face and Expression Recognition (8 papers), Hydrological Forecasting Using AI (8 papers) and Machine Learning and ELM (8 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Environmental Engineering (628 citations), Industrial and Manufacturing Engineering (278 citations), Sensory Systems (85 citations) and Nature and Landscape Conservation (194 citations). Yingyi Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Daoliang Li, Yeqi Liu, Huihui Yu, Lihua Song, Chuanyang Gong, Ling Yang, Ling Yang, Qian Zhang, Xiaomin Fang and Jian Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, Engineering Applications of Artificial Intelligence, New Zealand Journal of Agricultural Research, Applied Sciences and Sensors.
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.