Feiyang Wang

820 total citations
29 papers, 495 citations indexed

About

Feiyang Wang is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Feiyang Wang has authored 29 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Feiyang Wang's work include Advanced Graph Neural Networks (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Machine Learning in Healthcare (4 papers). Feiyang Wang is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Machine Learning in Healthcare (4 papers). Feiyang Wang collaborates with scholars based in China, United States and United Kingdom. Feiyang Wang's co-authors include Yueying Liu, Yuexiang Lu, Ying Chen, Liuying He, Wenjie Jing, Jingwei Sun, Philip S. Yu, Li Sun, Zhongbao Zhang and Guilin Wu and has published in prestigious journals such as Analytica Chimica Acta, IEEE Transactions on Knowledge and Data Engineering and ACS Sustainable Chemistry & Engineering.

In The Last Decade

Feiyang Wang

25 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feiyang Wang China 13 143 135 120 113 65 29 495
Dajiang Liu China 16 63 0.4× 97 0.7× 68 0.6× 423 3.7× 141 2.2× 50 842
Oğuz H. Elibol United States 10 81 0.6× 71 0.5× 87 0.7× 290 2.6× 34 0.5× 24 680
Kourosh Darvish Italy 11 159 1.1× 33 0.2× 68 0.6× 145 1.3× 72 1.1× 19 621
Chun‐Hao Chang Taiwan 13 17 0.1× 79 0.6× 116 1.0× 52 0.5× 26 0.4× 54 535
Jiazhen He China 16 315 2.2× 214 1.6× 131 1.1× 76 0.7× 96 1.5× 56 980
Siqi Huang China 9 191 1.3× 43 0.3× 27 0.2× 44 0.4× 23 0.4× 16 495
Jiahui Wen China 13 154 1.1× 130 1.0× 75 0.6× 154 1.4× 13 0.2× 36 526
Neha Yadav India 12 85 0.6× 29 0.2× 33 0.3× 75 0.7× 28 0.4× 39 395
Yuki Watanabe Japan 14 155 1.1× 55 0.4× 50 0.4× 56 0.5× 16 0.2× 55 618
Meiling Chen China 13 64 0.4× 22 0.2× 35 0.3× 156 1.4× 114 1.8× 25 512

Countries citing papers authored by Feiyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feiyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyang Wang. A scholar is included among the top collaborators of Feiyang Wang 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 Feiyang Wang. Feiyang Wang 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.
Li, Jifang & Feiyang Wang. (2025). Transformer Fault Diagnosis Using Hybrid Feature Selection and Improved Black-Winged Kite Optimized SVM. Electronics. 14(16). 3160–3160.
2.
Wang, Feiyang, et al.. (2025). ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7628–7636.
3.
Sun, Li, et al.. (2024). Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9044–9052. 4 indexed citations
4.
5.
Sun, Li, et al.. (2023). Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4633–4642. 13 indexed citations
6.
Sun, Li, et al.. (2023). GroupAligner : A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment. ACM Transactions on the Web. 17(3). 1–30. 6 indexed citations
7.
Wang, Feiyang, Hong‐Hui Wu, Xiaoye Zhou, et al.. (2023). Atomic-scale simulations in multi-component alloys and compounds: A review on advances in interatomic potential. Journal of Material Science and Technology. 165. 49–65. 46 indexed citations
8.
Sun, Li, Jiawei Zhang, Yong Yang, et al.. (2023). Contrastive sequential interaction network learning on co-evolving Riemannian spaces. International Journal of Machine Learning and Cybernetics. 15(4). 1397–1413. 3 indexed citations
9.
Sun, Li, et al.. (2023). CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. 2296–2305. 9 indexed citations
10.
Wang, Feiyang, Ganga Shreedhar, Matteo M. Galizzi, & Susana Mourato. (2022). A Take-Home Message: Workplace Food Waste Interventions Influence Household Pro-environmental Behaviors. Resources Conservation & Recycling Advances. 15. 200106–200106. 13 indexed citations
11.
Sun, Li, et al.. (2022). Aligning Dynamic Social Networks: An Optimization over Dynamic Graph Autoencoder. IEEE Transactions on Knowledge and Data Engineering. 1–1. 14 indexed citations
12.
Villanueva, Ana, et al.. (2022). ColabAR: A Toolkit for Remote Collaboration in Tangible Augmented Reality Laboratories. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW1). 1–22. 18 indexed citations
13.
Wang, Feiyang, et al.. (2022). DiriE: Knowledge Graph Embedding with Dirichlet Distribution. Proceedings of the ACM Web Conference 2022. 3082–3091. 12 indexed citations
14.
Wang, Feiyang & Frederic Bassó. (2021). The peak of health: The vertical representation of healthy food. Appetite. 167. 105587–105587. 8 indexed citations
15.
Sun, Li, Zhongbao Zhang, Jiawei Zhang, et al.. (2021). Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 4375–4383. 34 indexed citations
16.
Wang, Feiyang, Li Sun, & Zhongbao Zhang. (2020). Hyperbolic User Identity Linkage across Social Networks. 1–6. 5 indexed citations
17.
Sun, Li, Zhongbao Zhang, Jiawei Zhang, et al.. (2020). PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment. 501–510. 9 indexed citations
18.
19.
Wang, Feiyang, Yuexiang Lu, Ying Chen, Jingwei Sun, & Yueying Liu. (2018). Colorimetric Nanosensor Based on the Aggregation of AuNP Triggered by Carbon Quantum Dots for Detection of Ag+ Ions. ACS Sustainable Chemistry & Engineering. 6(3). 3706–3713. 58 indexed citations
20.
Jing, Wenjie, et al.. (2017). Fluorescence sensor array based on amino acids-modulating quantum dots for the discrimination of metal ions. Analytica Chimica Acta. 985. 175–182. 44 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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Breakdown of academic impact, for papers by Dajiang Liu Breakdown of academic impact, for papers by Oğuz H. Elibol Breakdown of academic impact, for papers by Kourosh Darvish Breakdown of academic impact, for papers by Chun‐Hao Chang Breakdown of academic impact, for papers by Jiazhen He Breakdown of academic impact, for papers by Siqi Huang Breakdown of academic impact, for papers by Jiahui Wen Breakdown of academic impact, for papers by Neha Yadav Breakdown of academic impact, for papers by Yuki Watanabe Breakdown of academic impact, for papers by Meiling Chen
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