Yingyi Chen

4.5k total citations · 2 hit papers
155 papers, 3.2k citations indexed

About

Yingyi Chen is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yingyi Chen has authored 155 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Water Science and Technology, 23 papers in Computer Vision and Pattern Recognition and 23 papers in Artificial Intelligence. Recurrent topics in Yingyi Chen's work include Water Quality Monitoring Technologies (40 papers), Water Quality Monitoring and Analysis (15 papers) and Smart Agriculture and AI (13 papers). Yingyi Chen is often cited by papers focused on Water Quality Monitoring Technologies (40 papers), Water Quality Monitoring and Analysis (15 papers) and Smart Agriculture and AI (13 papers). Yingyi Chen collaborates with scholars based in China, Taiwan and United Kingdom. Yingyi Chen's co-authors include Daoliang Li, Yeqi Liu, Huihui Yu, Lihua Song, Chuanyang Gong, Ling Yang, Ling Yang, Qian Zhang, Xiaomin Fang and Jian Zhang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Yingyi Chen

145 papers receiving 3.1k citations

Hit Papers

A Review of the Artificial Neural Network Models for Wate... 2019 2026 2021 2023 2020 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yingyi Chen China 28 934 594 510 359 337 155 3.2k
Xiaoyi Ma China 34 962 1.0× 500 0.8× 611 1.2× 170 0.5× 453 1.3× 229 5.0k
Yaoguang Wei China 31 972 1.0× 274 0.5× 252 0.5× 165 0.5× 140 0.4× 107 2.7k
Dong An China 32 797 0.9× 181 0.3× 356 0.7× 177 0.5× 213 0.6× 144 2.9k
Paheding Sidike United States 21 494 0.5× 1.2k 2.0× 1.2k 2.4× 457 1.3× 78 0.2× 53 4.2k
Hongfang Lü China 49 491 0.5× 1.7k 2.9× 1.1k 2.1× 342 1.0× 549 1.6× 219 7.0k
Wenzhong Tang China 35 919 1.0× 265 0.4× 173 0.3× 426 1.2× 101 0.3× 178 4.2k
Mohammad Valipour United States 45 1.4k 1.4× 1.3k 2.1× 796 1.6× 382 1.1× 156 0.5× 120 6.4k
G. van Straten Netherlands 33 303 0.3× 417 0.7× 1.5k 3.0× 237 0.7× 280 0.8× 202 4.3k
Lifu Zhang China 37 386 0.4× 1.1k 1.9× 536 1.1× 516 1.4× 137 0.4× 274 6.2k
Corrado Costa Italy 44 482 0.5× 225 0.4× 1.3k 2.5× 116 0.3× 484 1.4× 220 5.7k

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-authorship network of co-authors of Yingyi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingyi Chen. A scholar is included among the top collaborators of Yingyi Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingyi Chen. Yingyi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Guoxu, Te‐Yu Liao, Yingyi Chen, et al.. (2025). Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios. Artificial Intelligence in Agriculture. 15(2). 338–349. 1 indexed citations
2.
Jing, Ling, et al.. (2025). TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads. Neural Networks. 188. 107459–107459. 1 indexed citations
4.
Shao, Ji, et al.. (2024). Cycle association prototype network for few-shot semantic segmentation. Engineering Applications of Artificial Intelligence. 138. 109309–109309. 1 indexed citations
5.
Gong, Bo, Ling Jing, & Yingyi Chen. (2024). TSD: Random feature query design for transformer-based shrimp detector. Computers and Electronics in Agriculture. 221. 108949–108949. 3 indexed citations
6.
Yan, Ni, et al.. (2024). RTHEN: Unsupervised deep homography estimation based on dynamic attention for repetitive texture image stitching. Displays. 82. 102670–102670. 2 indexed citations
7.
Xu, Ling, et al.. (2024). Application of question answering systems for intelligent agriculture production and sustainable management: A review. Resources Conservation and Recycling. 204. 107497–107497. 16 indexed citations
8.
Wang, Zhiyong, et al.. (2024). A method for counting fish based on improved YOLOv8. Aquacultural Engineering. 107. 102450–102450. 14 indexed citations
9.
Chen, Yingyi, et al.. (2024). Construction with recombinant epitope-expressing baculovirus enhances protective effects of inactivated H9N2 vaccine against heterologous virus. Veterinary Microbiology. 300. 110337–110337. 1 indexed citations
10.
Shen, Zhencai, et al.. (2024). Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5006–5019. 4 indexed citations
11.
Yang, Ling, Yingyi Chen, Tao Shen, Huihui Yu, & Daoliang Li. (2023). A BlendMask-VoVNetV2 method for quantifying fish school feeding behavior in industrial aquaculture. Computers and Electronics in Agriculture. 211. 108005–108005. 15 indexed citations
12.
Yan, Ni, et al.. (2023). SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture. Computers and Electronics in Agriculture. 216. 108542–108542. 10 indexed citations
13.
Shao, Ji, et al.. (2023). Query-support semantic correlation mining for few-shot segmentation. Engineering Applications of Artificial Intelligence. 126. 106797–106797. 10 indexed citations
14.
Wang, Jie, Yan Zeng, Yingyi Chen, et al.. (2022). Multi-functional Potential of Five Lactic Acid Bacteria Strains Derived from Giant Panda (Ailuropoda melanoleuca). Probiotics and Antimicrobial Proteins. 15(3). 668–681. 12 indexed citations
15.
Jiang, Fan, et al.. (2019). Effect of heat treatment on physical properties of tungsten coating obtained by pulse electrodeposition. Fusion Engineering and Design. 150. 111332–111332. 2 indexed citations
16.
Liu, Xinyi, Shaoyong Lu, Qiancheng Shen, et al.. (2019). Unraveling allosteric landscapes of allosterome with ASD. Nucleic Acids Research. 48(D1). D394–D401. 55 indexed citations
17.
Xiang, Zhu, Yingyi Chen, & Daoliang Li. (2009). Soil environmental quality assessment in sustainable rehabilitation of mine waste area: establishing an integrated indicator-based system. WSEAS Transactions on Information Science and Applications archive. 6(3). 457–466. 2 indexed citations
18.
Chen, Yingyi, Yijun Jiang, & Daoliang Li. (2007). A decision support system for evaluation of the ecological benefits of rehabilitation of coal mine waste areas. New Zealand Journal of Agricultural Research. 50(5). 1205–1211. 7 indexed citations
19.
Chen, Yingyi, Yijun Jiang, Wang Hu, & Daoliang Li. (2007). Assessment of ambient air quality in coal mine waste areas — a case study in Fuxin, China. New Zealand Journal of Agricultural Research. 50(5). 1187–1194. 9 indexed citations
20.
Chen, Yingyi, et al.. (2007). A web‐GIS based support system for rural land consolidation in China. New Zealand Journal of Agricultural Research. 50(5). 1195–1203. 7 indexed citations

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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