Yaran Chen

1.6k total citations
49 papers, 1.0k citations indexed

About

Yaran Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yaran Chen has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yaran Chen's work include Advanced Neural Network Applications (25 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Reinforcement Learning in Robotics (7 papers). Yaran Chen is often cited by papers focused on Advanced Neural Network Applications (25 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Reinforcement Learning in Robotics (7 papers). Yaran Chen collaborates with scholars based in China, United States and Australia. Yaran Chen's co-authors include Dongbin Zhao, Qichao Zhang, Le Lv, Dong Li, Zixiang Ding, Junjie Wang, Nannan Li, Haoran Li, Yi Lu and Xiaodong Zhao and has published in prestigious journals such as Infection and Immunity, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Yaran Chen

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaran Chen China 18 498 401 252 167 88 49 1.0k
Shiru Qu China 14 426 0.9× 229 0.6× 154 0.6× 180 1.1× 60 0.7× 67 892
Fangchen Liu United States 8 1.1k 2.1× 491 1.2× 336 1.3× 78 0.5× 92 1.0× 24 1.5k
Yuchen Li China 10 342 0.7× 199 0.5× 403 1.6× 295 1.8× 98 1.1× 22 1.0k
Siyu Teng China 12 406 0.8× 232 0.6× 487 1.9× 331 2.0× 109 1.2× 27 1.2k
Ekim Yurtsever United States 10 667 1.3× 314 0.8× 677 2.7× 217 1.3× 213 2.4× 25 1.5k
Hongwei Ge China 20 365 0.7× 690 1.7× 115 0.5× 332 2.0× 164 1.9× 140 1.6k
Mohana India 22 856 1.7× 463 1.2× 116 0.5× 62 0.4× 154 1.8× 94 1.6k
Xinxin Du Singapore 10 473 0.9× 105 0.3× 562 2.2× 268 1.6× 117 1.3× 18 966
Zoran Miljković Serbia 19 278 0.6× 329 0.8× 99 0.4× 217 1.3× 124 1.4× 51 1.2k
Niladri B. Puhan India 20 582 1.2× 155 0.4× 129 0.5× 95 0.6× 32 0.4× 101 1.1k

Countries citing papers authored by Yaran Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yaran Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaran Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yaran Chen. A scholar is included among the top collaborators of Yaran 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 Yaran Chen. Yaran 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.
Liu, Xin, et al.. (2025). Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 55(5). 3601–3613. 2 indexed citations
2.
3.
Chen, Yaran, et al.. (2025). RoboGPT: An LLM-Based Long-Term Decision-Making Embodied Agent for Instruction Following Tasks. IEEE Transactions on Cognitive and Developmental Systems. 17(5). 1163–1174. 3 indexed citations
4.
Chen, Yaran, Yu Han, Haoran Li, et al.. (2025). Multimodal Learning-based Prediction for Nonalcoholic Fatty Liver Disease. 22(5). 871–887. 3 indexed citations
5.
Liu, Xin, et al.. (2025). Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. IEEE Transactions on Cybernetics. 55(5). 2234–2247.
6.
Zhu, Yuanheng, et al.. (2024). Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Transactions on Artificial Intelligence. 5(9). 4364–4375. 5 indexed citations
7.
Li, Nannan, Yaran Chen, & Dongbin Zhao. (2024). Adaptive search for broad attention based vision transformers. Neurocomputing. 611. 128696–128696. 1 indexed citations
8.
Ding, Zixiang, Yaran Chen, Nannan Li, Dongbin Zhao, & C. L. Philip Chen. (2023). Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Transactions on Systems Man and Cybernetics Systems. 53(9). 5679–5690. 8 indexed citations
9.
Li, Nannan, et al.. (2023). BViT: Broad Attention-Based Vision Transformer. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12772–12783. 26 indexed citations
10.
Ding, Zixiang, Yaran Chen, Nannan Li, & Dongbin Zhao. (2022). BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Transactions on Systems Man and Cybernetics Systems. 52(10). 6259–6272. 19 indexed citations
11.
Li, Haoran, Yaran Chen, Zixiang Ding, et al.. (2022). ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1560–1573. 7 indexed citations
12.
Li, Haoran, Yaran Chen, Qichao Zhang, & Dongbin Zhao. (2021). BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Transactions on Cybernetics. 52(9). 8617–8628. 26 indexed citations
13.
Chen, Yaran, et al.. (2021). IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. 12. 1–8. 2 indexed citations
14.
Lu, Yi, et al.. (2020). CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE Transactions on Cognitive and Developmental Systems. 13(3). 631–644. 56 indexed citations
15.
Lu, Yi, Yaran Chen, Dongbin Zhao, & Dong Li. (2020). MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing. 421. 140–150. 19 indexed citations
16.
Ding, Zixiang, Yaran Chen, Nannan Li, & Dongbin Zhao. (2019). Simplified Space Based Neural Architecture Search. 8. 43–49. 5 indexed citations
17.
Lu, Yi, et al.. (2018). Hybrid Deep Learning Based Moving Object Detection via Motion prediction. 1442–1447. 6 indexed citations
18.
Chen, Yaran, Dongbin Zhao, Le Lv, & Chengdong Li. (2016). A visual attention based convolutional neural network for image classification. 764–769. 16 indexed citations
19.
Xiong, Gang, et al.. (2014). AHP fuzzy comprehensive method of supplier evaluation in social manufacturing mode. 3594–3599. 21 indexed citations
20.
Chen, Yaran, et al.. (2013). The design of boost circuit in small wind generation system. 85. 354–359. 2 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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