Yiyang Gu

633 total citations · 1 hit paper
15 papers, 341 citations indexed

About

Yiyang Gu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yiyang Gu has authored 15 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Yiyang Gu's work include Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Yiyang Gu is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (4 papers) and Text and Document Classification Technologies (3 papers). Yiyang Gu collaborates with scholars based in China, United States and Hong Kong. Yiyang Gu's co-authors include Xiao Luo, Wei Ju, Ming Zhang, Yifan Wang, Yifang Qin, Yusheng Zhao, Zhiping Xiao, Qingqing Long, Zheng Fang and Ziyue Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Yiyang Gu

14 papers receiving 333 citations

Hit Papers

align trajectories

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.

A Comprehensive Survey on Deep Graph Representation Learning

2024 138 citations Wei Ju, Zheng Fang et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiyang Gu China	8	230	86	47	44	28	15	341
Ziyue Qiao China	8	173 0.8×	46 0.5×	39 0.8×	24 0.5×	29 1.0×	24	246
Cheng Ji China	8	254 1.1×	53 0.6×	49 1.0×	39 0.9×	22 0.8×	18	370
Yiwei Wang Singapore	7	203 0.9×	46 0.5×	50 1.1×	55 1.3×	14 0.5×	14	262
Lingfan Yu China	4	188 0.8×	114 1.3×	40 0.9×	29 0.7×	24 0.9×	6	316
Luana Ruiz United States	7	137 0.6×	63 0.7×	39 0.8×	23 0.5×	11 0.4×	25	251
Yuhang Jiao China	6	151 0.7×	76 0.9×	69 1.5×	41 0.9×	11 0.4×	14	287
Luchen Liu China	9	287 1.2×	237 2.8×	81 1.7×	60 1.4×	22 0.8×	23	510
Yizhen Zheng Australia	11	217 0.9×	44 0.5×	90 1.9×	36 0.8×	19 0.7×	20	294
Zhimao Lu China	8	186 0.8×	196 2.3×	26 0.6×	18 0.4×	27 1.0×	40	317
Rui Wen China	8	264 1.1×	45 0.5×	96 2.0×	25 0.6×	13 0.5×	23	376

Countries citing papers authored by Yiyang Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yiyang Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyang Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyang Gu. A scholar is included among the top collaborators of Yiyang Gu 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 Yiyang Gu. Yiyang Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Wang, Yifan, Yiyang Gu, Zhiping Xiao, et al.. (2025). Hypergraph Consistency Learning With Relational Distillation. IEEE Transactions on Multimedia. 27. 7028–7039.

2.

Qin, Yifang, Wei Ju, Yiyang Gu, et al.. (2025). PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. ACM Transactions on Information Systems. 43(4). 1–28. 2 indexed citations

3.

Ju, Wei, Yifan Wang, Zhiping Xiao, et al.. (2025). A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 3036–3055. 1 indexed citations

4.

Ju, Wei, Yifang Qin, Yiyang Gu, et al.. (2025). Cluster-guided Contrastive Class-imbalanced Graph Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11924–11932. 2 indexed citations

5.

Gu, Yiyang, Zihao Chen, Yifang Qin, et al.. (2024). DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs. IEEE Transactions on Multimedia. 28. 2031–2046. 7 indexed citations

6.

Ju, Wei, Zheng Fang, Yiyang Gu, et al.. (2024). A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks. 173. 106207–106207. 138 indexed citations breakdown →

7.

Luo, Junyu, Yiyang Gu, Xiao Luo, et al.. (2024). GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9038–9051. 15 indexed citations

8.

Gu, Yiyang, et al.. (2024). GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. Science China Information Sciences. 68(1). 13 indexed citations

9.

Luo, Xiao, Wei Ju, Yiyang Gu, et al.. (2023). Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–23. 45 indexed citations

10.

Luo, Xiao, Wei Ju, Yiyang Gu, et al.. (2023). Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–19. 13 indexed citations

11.

Luo, Xiao, Daqing Wu, Yiyang Gu, et al.. (2023). Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Transactions on Knowledge Discovery from Data. 18(1). 1–26. 4 indexed citations

12.

Luo, Xiao, Wei Ju, Meng Qu, et al.. (2022). CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 899–912. 52 indexed citations

13.

Ju, Wei, et al.. (2022). Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks. 158. 359–368. 44 indexed citations

14.

Gu, Yiyang, et al.. (2021). Graphine: A Dataset for Graph-aware Terminology Definition Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4 indexed citations

15.

Gu, Yiyang, Cheng Jin, & Xiangyang Xue. (2010). Quick matting: A matting method based on pixel spread and propagation. 4661–4664. 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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