Junyang Chen

1.6k total citations
74 papers, 900 citations indexed

About

Junyang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Junyang Chen has authored 74 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Junyang Chen's work include Domain Adaptation and Few-Shot Learning (18 papers), Advanced Graph Neural Networks (13 papers) and Complex Network Analysis Techniques (10 papers). Junyang Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (18 papers), Advanced Graph Neural Networks (13 papers) and Complex Network Analysis Techniques (10 papers). Junyang Chen collaborates with scholars based in China, Macao and Hong Kong. Junyang Chen's co-authors include Zhiguo Gong, Weiwen Liu, Wei Wang, Junxin Chen, Jinzhong Wang, Cong Wang, Zhenghua Xu, Wei Wang, Jinquan Liu and Zhixun Su and has published in prestigious journals such as Geophysical Journal International, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Junyang Chen

61 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyang Chen China 16 423 290 181 90 68 74 900
Tansel Özyer Türkiye 18 386 0.9× 208 0.7× 173 1.0× 165 1.8× 93 1.4× 86 904
Junyu Xuan Australia 17 591 1.4× 217 0.7× 150 0.8× 93 1.0× 116 1.7× 57 945
Donghai Guan China 19 523 1.2× 389 1.3× 236 1.3× 220 2.4× 103 1.5× 87 1.1k
Jianping Fan China 19 541 1.3× 562 1.9× 233 1.3× 148 1.6× 35 0.5× 86 1.4k
Jiaoyan Chen China 20 761 1.8× 161 0.6× 94 0.5× 90 1.0× 24 0.4× 79 1.1k
Lukáš Chrpa Czechia 12 744 1.8× 276 1.0× 123 0.7× 118 1.3× 48 0.7× 78 1.1k
Yonghong Yu China 16 370 0.9× 216 0.7× 263 1.5× 61 0.7× 29 0.4× 49 776
Huaqing Min China 18 822 1.9× 451 1.6× 325 1.8× 107 1.2× 56 0.8× 103 1.4k

Countries citing papers authored by Junyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Junyang Chen. A scholar is included among the top collaborators of Junyang 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 Junyang Chen. Junyang 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, Junyang, et al.. (2025). Knowledge Transfer Service for Multi-Granular Traffic Prediction in Smart Cities. IEEE Transactions on Services Computing. 18(4). 2188–2200.
2.
Chen, Junyang, et al.. (2024). Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8283–8291. 4 indexed citations
3.
Wang, Mengzhu, et al.. (2024). Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15091–15099. 4 indexed citations
4.
Chen, Zhen‐Song, Junyang Chen, Yi Yang, et al.. (2023). Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry. Information Fusion. 97. 101803–101803. 40 indexed citations
5.
Liu, Shiyu, Ou Liu, & Junyang Chen. (2023). A Review on Business Analytics: Definitions, Techniques, Applications and Challenges. Mathematics. 11(4). 899–899. 12 indexed citations
6.
Xu, Zhenghua, Tianrun Li, Yunxin Liu, et al.. (2023). PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection. Frontiers in Bioengineering and Biotechnology. 11. 30 indexed citations
7.
Wang, Mengzhu, Shanshan Wang, Ye Wang, et al.. (2023). Boosting unsupervised domain adaptation: A Fourier approach. Knowledge-Based Systems. 264. 110325–110325. 8 indexed citations
8.
Wang, Mengzhu, Junyang Chen, Ye Wang, et al.. (2023). Joint Adversarial Domain Adaptation With Structural Graph Alignment. IEEE Transactions on Network Science and Engineering. 11(1). 604–612. 3 indexed citations
9.
Xu, Zhenghua, Di Yuan, Junhua Gu, et al.. (2023). Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Transactions on Network Science and Engineering. 11(2). 1857–1871. 10 indexed citations
10.
Wang, Ye, et al.. (2023). Multidocument Aspect Classification for Aspect-Based Abstractive Summarization. IEEE Transactions on Computational Social Systems. 11(1). 1483–1492.
11.
Wang, Huan, et al.. (2023). Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–24. 4 indexed citations
12.
Chen, Junyang, et al.. (2022). Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation. IEEE Transactions on Network Science and Engineering. 9(3). 1658–1667. 19 indexed citations
13.
Chen, Junyang, Yuanman Li, Mengzhu Wang, et al.. (2022). A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding. IEEE Transactions on Network Science and Engineering. 9(3). 1827–1837. 5 indexed citations
14.
Chen, Junyang, Mengzhu Wang, Zhenghua Xu, et al.. (2022). IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Transactions on Computational Social Systems. 10(5). 2827–2836. 4 indexed citations
15.
Wang, Mengzhu, Junyang Chen, Ye Wang, et al.. (2022). TFC: Transformer Fused Convolution for Adversarial Domain Adaptation. IEEE Transactions on Computational Social Systems. 11(1). 697–706. 3 indexed citations
16.
Chen, Junyang, Zhiguo Gong, Wei Wang, Weiwen Liu, & Xiao Dong. (2021). CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3765–3777. 8 indexed citations
17.
Wang, Wei, Haojie Li, Zhengming Ding, et al.. (2021). Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 34(1). 264–277. 82 indexed citations
18.
Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7079–7090. 25 indexed citations
19.
Chen, Junyang, Zhiguo Gong, Wei Wang, et al.. (2021). Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6737–6748. 25 indexed citations
20.
Wang, Wei, Junyang Chen, Jinzhong Wang, et al.. (2019). Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation. IEEE Transactions on Industrial Informatics. 16(9). 6124–6132. 104 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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