Yilun Jin

1.4k total citations · 1 hit paper
28 papers, 701 citations indexed

About

Yilun Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yilun Jin has authored 28 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yilun Jin's work include Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Yilun Jin is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Yilun Jin collaborates with scholars based in China, Hong Kong and United States. Yilun Jin's co-authors include Qiang Yang, Yang Liu, Kewei Cheng, Tao Fan, Tianjian Chen, Dimitrios Papadopoulos, Guojie Song, Kai Chen, Qingqing Long and Wenyu Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Intelligent Systems.

In The Last Decade

Yilun Jin

27 papers receiving 680 citations

Hit Papers

SecureBoost: A Lossless Federated Learning Framework 2021 2026 2022 2024 2021 100 200 300
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.

  1. SecureBoost: A Lossless Federated Learning Framework
    2021 325 citations Kewei Cheng, Tao Fan et al. IEEE Intelligent Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yilun Jin China 12 512 90 86 81 74 28 701
Qinpei Zhao China 10 262 0.5× 57 0.6× 76 0.9× 96 1.2× 41 0.6× 49 510
Qi Cao China 12 357 0.7× 27 0.3× 117 1.4× 112 1.4× 195 2.6× 46 582
Yanwei Yu China 15 357 0.7× 71 0.8× 206 2.4× 162 2.0× 97 1.3× 50 609
Bilian Chen China 11 167 0.3× 23 0.3× 97 1.1× 78 1.0× 88 1.2× 43 508
Jingtao Ding China 16 294 0.6× 130 1.4× 342 4.0× 152 1.9× 41 0.6× 51 761
Xinjiang Lu China 13 211 0.4× 138 1.5× 148 1.7× 65 0.8× 62 0.8× 46 619
Ruizhang Huang China 16 595 1.2× 38 0.4× 114 1.3× 129 1.6× 30 0.4× 72 863
Manohar Kaul India 10 423 0.8× 105 1.2× 127 1.5× 109 1.3× 57 0.8× 20 751
Nico Piatkowski Germany 12 185 0.4× 104 1.2× 26 0.3× 50 0.6× 25 0.3× 48 486

Countries citing papers authored by Yilun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yilun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yilun Jin. A scholar is included among the top collaborators of Yilun Jin 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 Yilun Jin. Yilun Jin 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.
Jin, Yilun, et al.. (2025). Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 413–427.
2.
Huang, X. T., et al.. (2024). Accelerating Privacy-Preserving Machine Learning With GeniBatch. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 489–504. 3 indexed citations
3.
Jin, Yilun, et al.. (2024). Understanding Communication Characteristics of Distributed Training. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 6 indexed citations
4.
Wang, Weiyan, Yiming Zhang, Yilun Jin, Tian Han, & Li Chen. (2023). MDP: Model Decomposition and Parallelization of Vision Transformer for Distributed Edge Inference. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 570–578. 1 indexed citations
5.
Li, Zhao, Biao Wang, Jiaming Huang, et al.. (2023). A graph-powered large-scale fraud detection system. International Journal of Machine Learning and Cybernetics. 15(1). 115–128. 9 indexed citations
6.
Jin, Yilun, et al.. (2023). Scalable and Efficient Full-Graph GNN Training for Large Graphs. Proceedings of the ACM on Management of Data. 1(2). 1–23. 26 indexed citations
7.
Jin, Yilun, Yuhang Zhang, Jian Zhao, et al.. (2023). A Dual-Output Picowatt Hybrid Voltage Reference with Digital Trimming Technique. 1–5. 4 indexed citations
8.
Jin, Yilun, Kai Chen, & Qiang Yang. (2023). Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1032–1043. 28 indexed citations
9.
Jin, Yilun, Yuhang Zhang, Jian Zhao, et al.. (2023). A sub-1V picowatt voltage reference with improved PSRR and line sensitivity for wearable biomedical applications. Analog Integrated Circuits and Signal Processing. 118(2). 231–238. 2 indexed citations
10.
Cheng, Kewei, Tao Fan, Yilun Jin, et al.. (2021). SecureBoost: A Lossless Federated Learning Framework. IEEE Intelligent Systems. 36(6). 87–98. 325 indexed citations breakdown →
11.
Long, Qingqing, et al.. (2021). Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1204–1214. 21 indexed citations
12.
Jin, Yilun, et al.. (2021). A Novel Multi-Stage Ensemble Model With a Hybrid Genetic Algorithm for Credit Scoring on Imbalanced Data. IEEE Access. 9. 143593–143607. 13 indexed citations
13.
Jin, Yilun, Yanan Liu, Wenyu Zhang, Shuai Zhang, & Yu Lou. (2021). A novel multi-stage ensemble model with multiple K-means-based selective undersampling: An application in credit scoring. Journal of Intelligent & Fuzzy Systems. 40(5). 9471–9484. 8 indexed citations
14.
Jin, Yilun, et al.. (2020). A Survey towards Federated Semi-supervised Learning.. arXiv (Cornell University). 11 indexed citations
15.
Yang, Shuwen, Guojie Song, Yilun Jin, & Lun Du. (2020). Domain Adaptive Classification on Heterogeneous Information Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1410–1416. 13 indexed citations
16.
Jin, Yilun, Guojie Song, & Chuan Shi. (2020). GraLSP: Graph Neural Networks with Local Structural Patterns. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4361–4368. 24 indexed citations
17.
18.
Long, Qingqing, Yiming Wang, Lun Du, et al.. (2019). Hierarchical Community Structure Preserving Network Embedding. 409–418. 29 indexed citations
19.
Zhang, Yi, N. U. Ahmed, Shakil Ahmed, et al.. (2017). ICFVR 2017: 3rd international competition on finger vein recognition. 707–714. 2 indexed citations
20.
Jin, Yilun, et al.. (2015). A path planning algorithm of raster maps based on artificial potential field. 627–632. 3 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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