Irwin King

27.8k total citations · 14 hit papers
404 papers, 15.4k citations indexed

About

Irwin King is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Irwin King has authored 404 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Artificial Intelligence, 132 papers in Information Systems and 108 papers in Computer Vision and Pattern Recognition. Recurrent topics in Irwin King's work include Recommender Systems and Techniques (76 papers), Topic Modeling (74 papers) and Advanced Graph Neural Networks (53 papers). Irwin King is often cited by papers focused on Recommender Systems and Techniques (76 papers), Topic Modeling (74 papers) and Advanced Graph Neural Networks (53 papers). Irwin King collaborates with scholars based in Hong Kong, China and United States. Irwin King's co-authors include Michael R. Lyu, Hao Ma, Haiqin Yang, Zibin Zheng, Zenglin Xu, Haixuan Yang, Chao Liu, Dengyong Zhou, Zixing Song and Tong Zhao and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Irwin King

387 papers receiving 14.8k citations

Hit Papers

Recommender systems with ... 2008 2026 2014 2020 2011 2008 2009 2010 2022 250 500 750 1000
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. Recommender systems with social regularization
    2011 1.1k citations Michael R. Lyu, Irwin King et al. profile →
  2. SoRec
    2008 1.0k citations Michael R. Lyu, Irwin King et al. profile →
  3. Learning to recommend with social trust ensemble
    2009 611 citations Irwin King, Michael R. Lyu et al. profile →
  4. QoS-Aware Web Service Recommendation by Collaborative Filtering
    2010 605 citations Michael R. Lyu, Irwin King et al. profile →
  5. A Survey on Deep Semi-Supervised Learning
    2022 462 citations Irwin King, Zenglin Xu et al. profile →
  6. Dynamic Key-Value Memory Networks for Knowledge Tracing
    2017 375 citations Irwin King et al. profile →
  7. WSRec: A Collaborative Filtering Based Web Service Recommender System
    2009 348 citations Michael R. Lyu, Irwin King et al. profile →
  8. Where you like to go next: successive point-of-interest recommendation
    2013 338 citations Haiqin Yang, Michael R. Lyu et al. profile →
  9. Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
    2012 332 citations Michael R. Lyu, Irwin King et al. profile →
  10. Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering
    2014 270 citations Irwin King et al. profile →
  11. Ratings meet reviews, a combined approach to recommend
    2014 241 citations Michael R. Lyu, Irwin King et al. profile →
  12. Graph-Based Semi-Supervised Learning: A Comprehensive Review
    2022 193 citations Zenglin Xu, Irwin King et al. IEEE Transactions on Neural Networks and Learning Systems profile →
  13. A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
    2024 139 citations Irwin King et al. profile →
  14. Accurate RNA 3D structure prediction using a language model-based deep learning approach
    2024 61 citations Zhihang Hu, Yixuan Wang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Irwin King 8.0k 7.9k 3.7k 2.8k 1.4k 404 15.4k
Yehuda Koren 13.7k 1.7× 8.6k 1.1× 5.3k 1.4× 2.4k 0.8× 1.6k 1.1× 69 18.2k
Xiangnan He 10.8k 1.3× 11.5k 1.5× 5.0k 1.3× 1.5k 0.5× 1.0k 0.7× 275 17.3k
Michael R. Lyu 14.1k 1.8× 9.9k 1.3× 5.2k 1.4× 9.3k 3.3× 1.3k 0.9× 626 26.6k
Yong Yu 4.5k 0.6× 9.0k 1.1× 6.2k 1.7× 1.1k 0.4× 800 0.6× 301 16.5k
ChengXiang Zhai 8.0k 1.0× 11.4k 1.4× 2.4k 0.6× 1.1k 0.4× 1.1k 0.7× 386 16.9k
Naixue Xiong 4.6k 0.6× 6.2k 0.8× 3.9k 1.1× 9.1k 3.2× 708 0.5× 915 21.6k
Hongzhi Yin 6.6k 0.8× 6.0k 0.8× 1.8k 0.5× 1.5k 0.5× 1.1k 0.7× 308 10.5k
Aristides Gionis 3.5k 0.4× 5.5k 0.7× 2.9k 0.8× 2.6k 0.9× 2.6k 1.8× 200 11.7k
Laurence T. Yang 6.1k 0.8× 6.6k 0.8× 3.5k 1.0× 11.2k 3.9× 633 0.4× 888 23.7k
Lei Chen 2.8k 0.3× 6.6k 0.8× 3.0k 0.8× 5.3k 1.9× 865 0.6× 845 17.6k

Countries citing papers authored by Irwin King

Since Specialization
Citations

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

Fields of papers citing papers by Irwin King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irwin King

This figure shows the co-authorship network connecting the top 25 collaborators of Irwin King. A scholar is included among the top collaborators of Irwin King 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 Irwin King. Irwin King 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
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Chen, Yankai, Y. K. Que, Xinni Zhang, Chen Ma, & Irwin King. (2025). Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. ACM Transactions on Information Systems. 43(5). 1–28.
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Liu, Aiwei, et al.. (2024). An Entropy-based Text Watermarking Detection Method. 11724–11735. 3 indexed citations
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Li, Jingjing, et al.. (2024). CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. 3985–4004. 2 indexed citations
7.
King, Irwin, et al.. (2024). A Diffusion-Based Pre-training Framework for Crystal Property Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8993–9001. 2 indexed citations
8.
Chiu, Thomas K. F., Ching Sing Chai, Helen Meng, et al.. (2024). Developing and validating measures for AI literacy tests: From self-reported to objective measures. Computers and Education Artificial Intelligence. 7. 100282–100282. 15 indexed citations
9.
Zhang, Yifei, et al.. (2024). A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. ACM Transactions on Intelligent Systems and Technology. 15(6). 1–47. 28 indexed citations
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Yang, Meng‐Lin, et al.. (2024). Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. 3770–3781. 4 indexed citations
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Hu, Zhihang, Yixuan Wang, Lei Li, et al.. (2024). Progress and opportunities of foundation models in bioinformatics. Briefings in Bioinformatics. 25(6). 18 indexed citations
13.
Meng, Ziqiao, Peilin Zhao, Yang Yu, & Irwin King. (2023). A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. 6723–6731. 3 indexed citations
14.
Chen, Yankai, et al.. (2023). A survey on graph embedding techniques for biomedical data: Methods and applications. Information Fusion. 100. 101909–101909. 14 indexed citations
15.
Fu, Xinyu & Irwin King. (2023). MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. Neural Networks. 170. 266–275. 19 indexed citations
16.
Wu, Weibin, Yuxin Su, Shenglin Zhao, et al.. (2020). Boosting the Transferability of Adversarial Samples via Attention. 1158–1167. 84 indexed citations
17.
Joty, Shafiq, et al.. (2020). VD-BERT: A Unified Vision and Dialog Transformer with BERT. 3325–3338. 38 indexed citations
18.
Hu, Junjie, Haiqin Yang, Michael R. Lyu, Irwin King, & Anthony Man–Cho So. (2017). Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 882–895. 41 indexed citations
19.
Yang, Haiqin, Zenglin Xu, Michael R. Lyu, & Irwin King. (2015). Budget constrained non-monotonic feature selection. Neural Networks. 71. 214–224. 6 indexed citations
20.
Li, Baichuan, Jing Liu, Chin-Yew Lin, Irwin King, & Michael R. Lyu. (2013). A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. 1521–1532. 6 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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