Lingyang Chu

2.2k total citations · 2 hit papers
46 papers, 1.4k citations indexed

About

Lingyang Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Lingyang Chu has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Lingyang Chu's work include Privacy-Preserving Technologies in Data (8 papers), Data Mining Algorithms and Applications (7 papers) and Advanced Graph Neural Networks (7 papers). Lingyang Chu is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Data Mining Algorithms and Applications (7 papers) and Advanced Graph Neural Networks (7 papers). Lingyang Chu collaborates with scholars based in Canada, China and United States. Lingyang Chu's co-authors include Jian Pei, Lanjun Wang, Zirui Zhou, Yong Zhang, Yutao Huang, Jiangchuan Liu, Dongmei Zhou, Dengjun Wang, Jiang Bian and Weiqing Liu and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Colloid and Interface Science.

In The Last Decade

Lingyang Chu

45 papers receiving 1.4k citations

Hit Papers

Personalized Cross-Silo Federated Learning on Non-IID Data 2021 2026 2022 2024 2021 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyang Chu Canada 15 723 209 164 162 161 46 1.4k
Jia Zhao China 18 723 1.0× 255 1.2× 43 0.3× 135 0.8× 87 0.5× 120 1.6k
Liang Sun China 21 551 0.8× 468 2.2× 54 0.3× 116 0.7× 60 0.4× 123 1.6k
Siqi Wang China 21 627 0.9× 380 1.8× 71 0.4× 46 0.3× 38 0.2× 79 1.4k
Tao Shen China 23 823 1.1× 454 2.2× 60 0.4× 450 2.8× 114 0.7× 101 2.1k
Hongjie Jia China 18 750 1.0× 498 2.4× 47 0.3× 282 1.7× 66 0.4× 35 1.5k
Raquel Martínez‐España Spain 18 268 0.4× 131 0.6× 159 1.0× 102 0.6× 121 0.8× 80 938

Countries citing papers authored by Lingyang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Lingyang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyang Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyang Chu. A scholar is included among the top collaborators of Lingyang Chu 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 Lingyang Chu. Lingyang Chu 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.
Chu, Lingyang, et al.. (2024). Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16642–16650. 5 indexed citations
2.
Lokker, Cynthia, Chris Cotoi, Tamara Navarro, et al.. (2024). Boosting efficiency in a clinical literature surveillance system with LightGBM. PLOS Digital Health. 3(9). e0000299–e0000299. 7 indexed citations
3.
Chu, Lingyang, et al.. (2024). Effect of carbonaceous materials on phosphorus removal in flow-through packed column systems. Environmental Science and Pollution Research. 31(50). 60555–60567. 1 indexed citations
4.
Zhang, Qiqi, Lingyang Chu, Zijian Zhao, & Jian Pei. (2024). Finding Antagonistic Communities in Signed Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering. 37(2). 655–669.
5.
Lokker, Cynthia, Muhammad Afzal, Tamara Navarro, et al.. (2023). Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. Journal of Biomedical Informatics. 142. 104384–104384. 8 indexed citations
6.
Xue, Zhe, et al.. (2023). FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data. 8994–9002. 7 indexed citations
7.
Navarro, Tamara, Chris Cotoi, Federico Germini, et al.. (2021). A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation. JMIR Research Protocols. 10(11). e29398–e29398. 9 indexed citations
8.
Huang, Yutao, Lingyang Chu, Zirui Zhou, et al.. (2021). Personalized Cross-Silo Federated Learning on Non-IID Data. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7865–7873. 426 indexed citations breakdown →
9.
Huang, Yutao, Lingyang Chu, Zirui Zhou, et al.. (2020). Personalized Federated Learning: An Attentive Collaboration Approach.. arXiv (Cornell University). 10 indexed citations
10.
Chu, Lingyang, et al.. (2018). Classification with label noise: a Markov chain sampling framework. Data Mining and Knowledge Discovery. 33(5). 1468–1504. 10 indexed citations
11.
Chu, Lingyang, et al.. (2017). Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.. arXiv (Cornell University). 1 indexed citations
12.
Wang, Zhefeng, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, & Enhong Chen. (2016). Tradeoffs between density and size in extracting dense subgraphs: a unified framework. 41–48. 2 indexed citations
13.
Wang, Dengjun, Chongyang Shen, Yan Jin, et al.. (2016). Role of solution chemistry in the retention and release of graphene oxide nanomaterials in uncoated and iron oxide-coated sand. The Science of The Total Environment. 579. 776–785. 61 indexed citations
14.
Chu, Lingyang, Shuhui Wang, Yanyan Zhang, Shuqiang Jiang, & Qingming Huang. (2014). Graph-Density-based visual word vocabulary for image retrieval. 1–6. 1 indexed citations
15.
Zhang, Yanyan, Guorong Li, Lingyang Chu, et al.. (2013). Cross-media topic detection: A multi-modality fusion framework. 26 indexed citations
16.
Chu, Lingyang, Shuqiang Jiang, Shuhui Wang, Yanyan Zhang, & Qingming Huang. (2013). Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval. IEEE Transactions on Multimedia. 15(8). 1982–1996. 34 indexed citations
17.
Wang, Dengjun, Lingyang Chu, Marcos Paradelo, et al.. (2011). Transport behavior of humic acid-modified nano-hydroxyapatite in saturated packed column: Effects of Cu, ionic strength, and ionic composition. Journal of Colloid and Interface Science. 360(2). 398–407. 53 indexed citations
18.
Wang, Dengjun, Marcos Paradelo, Scott A. Bradford, et al.. (2011). Facilitated transport of Cu with hydroxyapatite nanoparticles in saturated sand: Effects of solution ionic strength and composition. Water Research. 45(18). 5905–5915. 126 indexed citations
19.
Zhou, Dongmei, Dengjun Wang, Long Cang, Xiuzhen Hao, & Lingyang Chu. (2011). Transport and re-entrainment of soil colloids in saturated packed column: effects of pH and ionic strength. Journal of Soils and Sediments. 11(3). 491–503. 100 indexed citations
20.
Chen, Tianlong, Shuqiang Jiang, Lingyang Chu, & Qingming Huang. (2011). Detection and location of near-duplicate video sub-clips by finding dense subgraphs. 1173–1176. 7 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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