Renchi Yang

568 total citations
26 papers, 285 citations indexed

About

Renchi Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Renchi Yang has authored 26 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Statistical and Nonlinear Physics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Renchi Yang's work include Advanced Graph Neural Networks (21 papers), Complex Network Analysis Techniques (15 papers) and Graph Theory and Algorithms (8 papers). Renchi Yang is often cited by papers focused on Advanced Graph Neural Networks (21 papers), Complex Network Analysis Techniques (15 papers) and Graph Theory and Algorithms (8 papers). Renchi Yang collaborates with scholars based in Hong Kong, Singapore and China. Renchi Yang's co-authors include Xiaokui Xiao, Yin Yang, J. Y. Shi, Sibo Wang, Zhewei Wei, Sourav S. Bhowmick, Keke Huang, Jing Tang, Nan Tang and Wenqing Lin and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.

In The Last Decade

Renchi Yang

21 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Renchi Yang Hong Kong	9	212	139	104	67	64	26	285
Kamer Kaya United States	8	94 0.4×	81 0.6×	71 0.7×	87 1.3×	70 1.1×	12	224
Pinghui Wang China	7	141 0.7×	93 0.7×	26 0.3×	119 1.8×	33 0.5×	25	233
Dániel Fogaras Hungary	6	234 1.1×	181 1.3×	129 1.2×	95 1.4×	129 2.0×	8	392
Matthew J. Rattigan United States	8	139 0.7×	162 1.2×	34 0.3×	81 1.2×	49 0.8×	15	262
Dong Wen Australia	9	106 0.5×	74 0.5×	109 1.0×	85 1.3×	36 0.6×	37	233
Brigitte Boden Germany	7	134 0.6×	152 1.1×	49 0.5×	59 0.9×	69 1.1×	11	247
Fuad Jamour Saudi Arabia	9	201 0.9×	41 0.3×	148 1.4×	32 0.5×	49 0.8×	15	298
Danil Nemirovsky France	6	86 0.4×	91 0.7×	36 0.3×	62 0.9×	65 1.0×	10	189
Arnau Prat-Pèrez Spain	10	190 0.9×	176 1.3×	196 1.9×	168 2.5×	97 1.5×	15	393
Wanyun Cui China	5	172 0.8×	286 2.1×	59 0.6×	189 2.8×	67 1.0×	14	398

Countries citing papers authored by Renchi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Renchi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renchi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Renchi Yang. A scholar is included among the top collaborators of Renchi Yang 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 Renchi Yang. Renchi Yang 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:

20 of 20 papers shown

Yang, Renchi, et al.. (2025). Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. 698–708.

Yang, Renchi, et al.. (2025). Simple yet Effective Graph Distillation via Clustering. 1229–1240.

Yang, Renchi, et al.. (2025). Diffusion-based Graph-agnostic Clustering. 1353–1364.

Shi, J. Y., et al.. (2024). A versatile framework for attributed network clustering via K-nearest neighbor augmentation. The VLDB Journal. 33(6). 1913–1943. 2 indexed citations

Yang, Renchi, et al.. (2024). Effective Clustering on Large Attributed Bipartite Graphs. 3782–3793. 1 indexed citations

Zhang, Shiqi, Renchi Yang, Xiaokui Xiao, Xiao Yan, & Bo Tang. (2023). Effective and Efficient PageRank-based Positioning for Graph Visualization. Proceedings of the ACM on Management of Data. 1(1). 1–27. 4 indexed citations

Yang, Renchi, et al.. (2023). Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation. Proceedings of the ACM on Management of Data. 1(2). 1–23. 11 indexed citations

Zhang, Shiqi, Renchi Yang, Jing Tang, Xiaokui Xiao, & Bo Tang. (2023). Efficient Approximation Algorithms for Spanning Centrality. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3386–3395. 4 indexed citations

Huang, Keke, et al.. (2023). Node-wise Diffusion for Scalable Graph Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1723–1733. 14 indexed citations

10.

Yang, Renchi & Jing Tang. (2023). Efficient Estimation of Pairwise Effective Resistance. Proceedings of the ACM on Management of Data. 1(1). 1–27. 4 indexed citations

11.

Yang, Renchi, J. Y. Shi, Xiaokui Xiao, et al.. (2023). PANE: scalable and effective attributed network embedding. The VLDB Journal. 32(6). 1237–1262. 6 indexed citations

12.

Yang, Renchi, et al.. (2023). Efficient and Effective Edge-wise Graph Representation Learning. 2326–2336. 4 indexed citations

13.

Yang, Renchi, J. Y. Shi, Xiaokui Xiao, et al.. (2022). No PANE, No Gain. ACM SIGMOD Record. 51(1). 42–49. 2 indexed citations

14.

Yang, Renchi, J. Y. Shi, Keke Huang, & Xiaokui Xiao. (2022). Scalable and Effective Bipartite Network Embedding. Proceedings of the 2022 International Conference on Management of Data. 1977–1991. 13 indexed citations

15.

Yang, Renchi. (2022). Efficient and Effective Similarity Search over Bipartite Graphs. Proceedings of the ACM Web Conference 2022. 308–318. 6 indexed citations

16.

Yu, Yang, et al.. (2021). Unconstrained submodular maximization with modular costs. Proceedings of the VLDB Endowment. 14(10). 1756–1768. 11 indexed citations

17.

Yang, Renchi, J. Y. Shi, Xiaokui Xiao, Yin Yang, & Sourav S. Bhowmick. (2020). Homogeneous network embedding for massive graphs via reweighted personalized PageRank. Proceedings of the VLDB Endowment. 13(5). 670–683. 53 indexed citations

18.

Shi, J. Y., et al.. (2020). Realtime index-free single source SimRank processing on web-scale graphs. Proceedings of the VLDB Endowment. 13(7). 966–980. 13 indexed citations

19.

Yang, Renchi, J. Y. Shi, Xiaokui Xiao, Sourav S. Bhowmick, & Yin Yang. (2019). Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.. arXiv (Cornell University). 1 indexed citations

20.

Wang, Sibo, Renchi Yang, Xiaokui Xiao, Zhewei Wei, & Yin Yang. (2017). FORA. 505–514. 71 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.

Explore authors with similar magnitude of impact