Yining Chen

1.3k total citations · 1 hit paper
46 papers, 532 citations indexed

About

Yining Chen is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yining Chen has authored 46 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yining Chen's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Industrial Vision Systems and Defect Detection (7 papers). Yining Chen is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Industrial Vision Systems and Defect Detection (7 papers). Yining Chen collaborates with scholars based in China, United States and United Kingdom. Yining Chen's co-authors include Xiaohong Jiang, Guanghua Song, Min Chu, Hao Lou, Zhenhui Ye, Jia Liu, Runsheng Liu, Eric Chang, Ke Wang and Bowei Yang and has published in prestigious journals such as IEEE Access, Advanced Science and IEEE Transactions on Mobile Computing.

In The Last Decade

Yining Chen

41 papers receiving 504 citations

Hit Papers

A Comprehensive Review on Synergy of Multi-Modal Data and... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
    2024 62 citations Xi Xu, Jianqiang Li et al. Bioengineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yining Chen China 11 244 94 91 83 73 46 532
Hongbing Hu China 12 99 0.4× 89 0.9× 107 1.2× 74 0.9× 110 1.5× 26 563
Huanle Zhang China 13 173 0.7× 52 0.6× 46 0.5× 26 0.3× 179 2.5× 45 692
Fangfang Zhou China 18 236 1.0× 436 4.6× 126 1.4× 19 0.2× 73 1.0× 57 800
Ardavan Saeedi United States 6 376 1.5× 116 1.2× 17 0.2× 19 0.2× 44 0.6× 10 699
Alexandre Mendes Australia 16 169 0.7× 40 0.4× 29 0.3× 15 0.2× 89 1.2× 50 824
Xiaoxun Sun Australia 16 459 1.9× 216 2.3× 85 0.9× 70 0.8× 189 2.6× 45 734
Thomas D. Garvey United States 12 255 1.0× 85 0.9× 29 0.3× 51 0.6× 78 1.1× 34 538

Countries citing papers authored by Yining Chen

Since Specialization
Citations

This map shows the geographic impact of Yining 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 Yining Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Chen more than expected).

Fields of papers citing papers by Yining Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yining 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 Yining Chen. The network helps show where Yining Chen may publish in the future.

Co-authorship network of co-authors of Yining Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yining Chen. A scholar is included among the top collaborators of Yining 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 Yining Chen. Yining 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.
Chen, Yanning, et al.. (2025). RA-UNet: A New Deep Learning Segmentation Method for Semiconductor Wafer Defect Analysis on Fine-Grained Scanning Electron Microscope (SEM) Images. IEEE Transactions on Semiconductor Manufacturing. 38(2). 185–193. 1 indexed citations
2.
Wang, Ruyue, Fan Li, Zeyi Lu, et al.. (2025). piR‐RCC Suppresses Renal Cell Carcinoma Progression by Facilitating YBX‐1 Cytoplasm Localization. Advanced Science. 12(30). e14398–e14398.
3.
Chen, Yining, et al.. (2025). Precision in Aerial Surveillance: Integrating YOLOv8 With PConv and CoT for Accurate Insulator Defect Detection. IEEE Access. 13. 49062–49075. 3 indexed citations
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Xu, Xi, Jianqiang Li, Huina Wang, et al.. (2024). A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. Bioengineering. 11(3). 219–219. 62 indexed citations breakdown →
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Ye, Zhenhui, et al.. (2023). Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments. Frontiers of Information Technology & Electronic Engineering. 24(1). 117–130. 1 indexed citations
10.
Chen, Yining, et al.. (2023). Cooperative planning of multi-UAV logistics delivery by multi-graph reinforcement learning. 61–61. 3 indexed citations
11.
Ye, Zhenhui, Ke Wang, Yining Chen, Xiaohong Jiang, & Guanghua Song. (2022). Multi-UAV Navigation for Partially Observable Communication Coverage by Graph Reinforcement Learning. IEEE Transactions on Mobile Computing. 22(7). 4056–4069. 67 indexed citations
12.
Chen, Yining, Guanghua Song, Zhenhui Ye, & Xiaohong Jiang. (2022). Scalable and Transferable Reinforcement Learning for Multi-Agent Mixed Cooperative–Competitive Environments Based on Hierarchical Graph Attention. Entropy. 24(4). 563–563. 10 indexed citations
13.
Chen, Yining, Pingxin Wang, Xibei Yang, & Hualong Yu. (2022). Bee: towards a robust attribute reduction. International Journal of Machine Learning and Cybernetics. 13(12). 3927–3962. 6 indexed citations
14.
Cao, Kaidi, Yining Chen, Junwei Lu, et al.. (2021). Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. International Conference on Learning Representations. 2 indexed citations
15.
Hu, Huang, Can Xu, Jian Miao, et al.. (2021). Learning Neural Templates for Recommender Dialogue System. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7821–7833. 25 indexed citations
16.
Ding, Yuan, Yanjie Li, Zhongquan Sun, et al.. (2021). Cell-derived extracellular vesicles and membranes for tissue repair. Journal of Nanobiotechnology. 19(1). 368–368. 24 indexed citations
17.
Shu, Rui, Yining Chen, Abhishek Kumar, Stefano Ermon, & Ben Poole. (2020). Weakly Supervised Disentanglement with Guarantees. arXiv (Cornell University). 7 indexed citations
18.
Wei, Colin, et al.. (2020). Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data. arXiv (Cornell University). 32 indexed citations
19.
Wang, Lijuan, Yong Zhao, Min Chu, et al.. (2006). Exploring expressive speech space in an audio-book. 2 indexed citations
20.
Chen, Yining, et al.. (2006). Automatic accent annotation with limited manually labeled data. paper 112–0. 1 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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