J. Y. Shi

1.6k total citations
40 papers, 491 citations indexed

About

J. Y. Shi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, J. Y. Shi has authored 40 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in J. Y. Shi's work include Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (12 papers) and Data Management and Algorithms (10 papers). J. Y. Shi is often cited by papers focused on Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (12 papers) and Data Management and Algorithms (10 papers). J. Y. Shi collaborates with scholars based in Hong Kong, China and Singapore. J. Y. Shi's co-authors include Chun Liang, Nikos Mamoulis, Dingming Wu, Renchi Yang, Xiaokui Xiao, Yin Yang, David W. Cheung, Hui Li, Sourav S. Bhowmick and Yanlin Wang and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

J. Y. Shi

34 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Y. Shi Hong Kong	14	217	114	91	87	86	40	491
Yunsheng Shi China	5	167 0.8×	31 0.3×	110 1.2×	64 0.7×	47 0.5×	5	546
Dandan Song China	18	503 2.3×	32 0.3×	216 2.4×	166 1.9×	279 3.2×	82	1.0k
Yajun Yang China	12	100 0.5×	32 0.3×	236 2.6×	69 0.8×	64 0.7×	38	556
Sungwon Jung South Korea	8	75 0.3×	17 0.1×	83 0.9×	58 0.7×	60 0.7×	46	434
David Auber France	15	166 0.8×	265 2.3×	141 1.5×	634 7.3×	62 0.7×	42	857
Honghui Mei China	11	166 0.8×	33 0.3×	61 0.7×	389 4.5×	36 0.4×	14	611
Daniel Defays Belgium	5	225 1.0×	47 0.4×	70 0.8×	116 1.3×	67 0.8×	8	537
Prem Gopalan United States	8	270 1.2×	197 1.7×	51 0.6×	75 0.9×	189 2.2×	12	643
Xiaolong Deng China	16	79 0.4×	65 0.6×	195 2.1×	30 0.3×	48 0.6×	71	720
William H. Hsu United States	14	326 1.5×	95 0.8×	93 1.0×	60 0.7×	203 2.4×	48	647

Countries citing papers authored by J. Y. Shi

Since Specialization

Citations

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

Fields of papers citing papers by J. Y. Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Y. Shi. 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 J. Y. Shi. The network helps show where J. Y. Shi may publish in the future.

Co-authorship network of co-authors of J. Y. Shi

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

All Works

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20 of 20 papers shown

Shi, J. Y., et al.. (2025). Detection of volatile organic compounds in Farfarae flos using HS-GC-IMS across different flower colors. Food Chemistry X. 26. 102227–102227.

Shi, J. Y., et al.. (2024). Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs. 457–466.

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

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

Shi, J. Y., et al.. (2024). SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. 467–476. 2 indexed citations

Liu, Jie, et al.. (2024). BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. 2820–2833. 8 indexed citations

Shi, J. Y., et al.. (2024). Minimum Strongly Connected Subgraph Collection in Dynamic Graphs. Proceedings of the VLDB Endowment. 17(6). 1324–1336. 1 indexed citations

Zhang, Anguo, et al.. (2023). Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17177–17188. 13 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

10.

Shi, J. Y., et al.. (2023). Effective stabilized self-training on few-labeled graph data. Information Sciences. 631. 369–384. 15 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, J. Y. Shi, Xiaokui Xiao, et al.. (2022). No PANE, No Gain. ACM SIGMOD Record. 51(1). 42–49. 2 indexed citations

13.

Zhang, Hanyuan, et al.. (2022). Example-based Spatial Search at Scale. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 12. 539–551. 1 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.

Shi, J. Y., et al.. (2019). Efficient Pure Exploration in Adaptive Round model. Neural Information Processing Systems. 32. 6609–6618. 2 indexed citations

16.

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

17.

Wu, Dingming, Hao Zhou, J. Y. Shi, & Nikos Mamoulis. (2019). Top-k relevant semantic place retrieval on spatiotemporal RDF data. The VLDB Journal. 29(4). 893–917. 4 indexed citations

18.

Shi, J. Y., et al.. (2017). JNSViewer—A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures. PLoS ONE. 12(6). e0179040–e0179040. 4 indexed citations

19.

Wu, Dingming, Nikos Mamoulis, & J. Y. Shi. (2015). Clustering in Geo-Social Networks. The HKU Scholars Hub (University of Hong Kong). 38. 47–57. 1 indexed citations

20.

Shi, J. Y., Nikos Mamoulis, Dingming Wu, & David W. Cheung. (2014). Density-based place clustering in geo-social networks. The HKU Scholars Hub (University of Hong Kong). 99–110. 57 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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