Yingyi Chen

152 papers receiving 3.5k citations

Yingyi Chen's Hit Papers

A Review of the Artificial Neural Network Models for Water Quality Prediction 2020 · 358 citations
3580+2+4Years since publication100200300

Peers

Yingyi Chen
Comparison fields: 5 of 148
  • Water Science and Technology 827
  • Environmental Engineering 474
  • Computer Vision and Pattern Recognition 351
  • Waste Management and Disposal 98
  • Plant Science 548
Replace Shiv O. Prasher with:
Shiv O. Prasher Canada
Yaoguang Wei China
Rafia Mumtaz Pakistan
Shuangyin Liu China
Min Zuo China
Sandra Sendra Spain
Upaka Rathnayake Ireland
Mahmoud Omid Iran
Lin Liu China
Dong Un An China
Yingyi Chen relative to Shiv O. Prasher Canada Shiv O. Prasher's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yingyi Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yingyi Chen Line = papers co-authored together Yingyi Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 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 →
2020358
2
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction
Hit paper breakdown →
2019308
3 2020207
4 2020161
5 2016139
6 2016136
7 2019128
8 201391
9 202089
10 202184
11 201675
12 201163
13 201761
14 201957
15 202157
16 201655
17 202053
18 202350
19 202346
20 201443

About Yingyi Chen

Yingyi Chen is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Plant Science, Environmental Engineering and Waste Management and Disposal, having authored 163 papers that have together received 3.6k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (35 papers), Smart Agriculture and AI (21 papers), Advanced Neural Network Applications (11 papers), Face and Expression Recognition (9 papers), Hydrological Forecasting Using AI (8 papers), Water Quality Monitoring and Analysis (5 papers), Remote-Sensing Image Classification (4 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Water Science and Technology (827 citations), Environmental Engineering (474 citations), Computer Vision and Pattern Recognition (351 citations), Waste Management and Disposal (98 citations) and Plant Science (548 citations). Yingyi Chen has collaborated with scholars based in China, United Kingdom 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, Information Processing in Agriculture, Applied Sciences and Aquacultural Engineering.

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.

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