Xiuqiang He

7.4k total citations · 1 hit paper
99 papers, 2.5k citations indexed

About

Xiuqiang He is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Xiuqiang He has authored 99 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Information Systems, 67 papers in Artificial Intelligence and 30 papers in Management Science and Operations Research. Recurrent topics in Xiuqiang He's work include Recommender Systems and Techniques (74 papers), Advanced Graph Neural Networks (29 papers) and Advanced Bandit Algorithms Research (26 papers). Xiuqiang He is often cited by papers focused on Recommender Systems and Techniques (74 papers), Advanced Graph Neural Networks (29 papers) and Advanced Bandit Algorithms Research (26 papers). Xiuqiang He collaborates with scholars based in China, Sweden and Canada. Xiuqiang He's co-authors include Ruiming Tang, Jieming Zhu, Huifeng Guo, Zhenhua Dong, Weinan Zhang, Zhaowei Wang, Yong Yu, Wei Guo, Xi Xiao and Kelong Mao and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Information Sciences.

In The Last Decade

Xiuqiang He

91 papers receiving 2.4k citations

Hit Papers

UltraGCN 2021 2026 2022 2024 2021 50 100 150
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. UltraGCN
    2021 182 citations Jieming Zhu, Xiuqiang He et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuqiang He China 27 1.7k 1.6k 744 463 238 99 2.5k
Ruiming Tang China 26 1.6k 0.9× 1.4k 0.9× 548 0.7× 483 1.0× 205 0.9× 150 2.2k
Jun Ma China 28 1.9k 1.1× 1.8k 1.1× 899 1.2× 467 1.0× 261 1.1× 104 3.1k
Wenwu Ou China 16 1.6k 0.9× 1.3k 0.8× 546 0.7× 454 1.0× 184 0.8× 30 2.1k
Xiaoqiang Zhu China 8 1.8k 1.1× 1.3k 0.8× 823 1.1× 453 1.0× 328 1.4× 15 2.3k
Ying Fan China 9 1.6k 0.9× 1.1k 0.7× 747 1.0× 374 0.8× 303 1.3× 24 2.1k
Kun Gai China 20 2.0k 1.2× 1.4k 0.9× 1.2k 1.6× 538 1.2× 357 1.5× 68 2.9k
Guibing Guo China 26 2.1k 1.2× 1.4k 0.9× 577 0.8× 374 0.8× 468 2.0× 91 2.5k
Zhaochun Ren China 33 2.2k 1.3× 3.1k 1.9× 731 1.0× 455 1.0× 240 1.0× 147 3.9k
Peng Jiang China 18 1.5k 0.9× 1.2k 0.8× 476 0.6× 472 1.0× 135 0.6× 58 2.0k
Chang Zhou China 21 1.3k 0.7× 1.4k 0.9× 769 1.0× 272 0.6× 282 1.2× 53 2.2k

Countries citing papers authored by Xiuqiang He

Since Specialization
Citations

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

Fields of papers citing papers by Xiuqiang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuqiang He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuqiang He. A scholar is included among the top collaborators of Xiuqiang He 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 Xiuqiang He. Xiuqiang He 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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Liu, Dugang, et al.. (2024). MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. 434–442. 10 indexed citations
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Liu, Dugang, et al.. (2023). Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. 995–1003. 1 indexed citations
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Cai, Guohao, Furui Liu, Zhenhua Dong, et al.. (2023). Debiased Recommendation with User Feature Balancing. ACM Transactions on Information Systems. 41(4). 1–25. 7 indexed citations
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Liu, Dugang, et al.. (2023). Optimizing Feature Set for Click-Through Rate Prediction. 3386–3395. 15 indexed citations
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Liu, Dugang, Pengxiang Cheng, Hong Zhu, et al.. (2023). DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. 1673–1682. 5 indexed citations
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Qin, Jiarui, Weinan Zhang, Weiwen Liu, et al.. (2023). Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Transactions on Information Systems. 41(4). 1–31. 8 indexed citations
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Liu, Dugang, et al.. (2023). Explicit Feature Interaction-aware Uplift Network for Online Marketing. 4507–4515. 2 indexed citations
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Liu, Dugang, Pengxiang Cheng, Zhenhua Dong, et al.. (2023). Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Transactions on Information Systems. 41(4). 1–26. 6 indexed citations
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Liu, Dugang, Pengxiang Cheng, Hong Zhu, et al.. (2022). Debiased Representation Learning in Recommendation via Information Bottleneck. 1(1). 1–27. 11 indexed citations
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Liu, Dugang, Pengxiang Cheng, Zhenhua Dong, et al.. (2022). KDCRec: Knowledge Distillation for Counterfactual Recommendation Via Uniform Data. IEEE Transactions on Knowledge and Data Engineering. 1–14. 11 indexed citations
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Guo, Huifeng, Bo Chen, Ruiming Tang, Zhenguo Li, & Xiuqiang He. (2020). AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. arXiv (Cornell University). 1 indexed citations
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Zhang, Zhu, Zhou Zhao, Zhijie Lin, Jieming Zhu, & Xiuqiang He. (2020). Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. Neural Information Processing Systems. 33. 18123–18134. 61 indexed citations
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Cautis, Bogdan, et al.. (2019). Model-free inference of diffusion networks using RKHS embeddings. Data Mining and Knowledge Discovery. 33(2). 499–525. 4 indexed citations
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Yuan, Fajie, et al.. (2019). Modeling the Past and Future Contexts for Session-based Recommendation.. arXiv (Cornell University). 1 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

Breakdown of academic impact, for papers by Ruiming Tang Breakdown of academic impact, for papers by Jun Ma Breakdown of academic impact, for papers by Wenwu Ou Breakdown of academic impact, for papers by Xiaoqiang Zhu Breakdown of academic impact, for papers by Ying Fan Breakdown of academic impact, for papers by Kun Gai Breakdown of academic impact, for papers by Guibing Guo Breakdown of academic impact, for papers by Zhaochun Ren Breakdown of academic impact, for papers by Peng Jiang Breakdown of academic impact, for papers by Chang Zhou
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