Pipei Huang

1.6k total citations · 2 hit papers
10 papers, 952 citations indexed

About

Pipei Huang is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pipei Huang has authored 10 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pipei Huang's work include Recommender Systems and Techniques (7 papers), Text and Document Classification Technologies (3 papers) and Advanced Graph Neural Networks (3 papers). Pipei Huang is often cited by papers focused on Recommender Systems and Techniques (7 papers), Text and Document Classification Technologies (3 papers) and Advanced Graph Neural Networks (3 papers). Pipei Huang collaborates with scholars based in China, Hong Kong and United States. Pipei Huang's co-authors include Huan Zhao, Dik Lun Lee, Binqiang Zhao, Jizhe Wang, Zhibo Zhang, Wenwu Ou, Qiwei Chen, Wei Li, Mengmeng Wu and Qiwei Chen and has published in prestigious journals such as Pattern Recognition Letters, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Pipei Huang

10 papers receiving 903 citations

Hit Papers

Billion-scale Commodity Embedding for E-commerce Recommen... 2018 2026 2020 2023 2018 2019 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. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
    2018 313 citations Jizhe Wang, Pipei Huang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  2. Behavior sequence transformer for e-commerce recommendation in Alibaba
    2019 238 citations Qiwei Chen, Huan Zhao 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
Pipei Huang China 7 654 549 299 125 120 10 952
Haifeng Liu China 12 582 0.9× 353 0.6× 259 0.9× 125 1.0× 105 0.9× 33 834
Huifeng Guo China 20 875 1.3× 753 1.4× 310 1.0× 141 1.1× 217 1.8× 78 1.3k
Jianxun Lian China 16 897 1.4× 814 1.5× 247 0.8× 110 0.9× 161 1.3× 42 1.2k
Jinoh Oh South Korea 14 812 1.2× 662 1.2× 324 1.1× 153 1.2× 133 1.1× 30 1.1k
Lucas Drumond Germany 13 593 0.9× 534 1.0× 175 0.6× 94 0.8× 149 1.2× 32 914
Cihan Kaleli Türkiye 12 666 1.0× 457 0.8× 178 0.6× 123 1.0× 103 0.9× 29 854
Evan Wei Xiang Hong Kong 14 550 0.8× 524 1.0× 192 0.6× 118 0.9× 120 1.0× 20 892
Xin Xin China 19 625 1.0× 593 1.1× 169 0.6× 135 1.1× 178 1.5× 82 1.0k
Yanghui Yan China 5 967 1.5× 628 1.1× 404 1.4× 171 1.4× 233 1.9× 6 1.2k
Dimitrios Rafailidis Greece 17 433 0.7× 318 0.6× 303 1.0× 96 0.8× 102 0.8× 47 779

Countries citing papers authored by Pipei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Pipei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pipei Huang

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

All Works

10 of 10 papers shown
1.
Pfadler, Andreas, Huan Zhao, Jizhe Wang, et al.. (2020). Billion-scale Recommendation with Heterogeneous Side Information at Taobao. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1667–1676. 15 indexed citations
2.
Wen, Hong, Jing Zhang, Quan Lin, Keping Yang, & Pipei Huang. (2019). Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 338–345. 26 indexed citations
3.
Li, Chao, Zhiyuan Liu, Mengmeng Wu, et al.. (2019). Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2615–2623. 205 indexed citations
4.
Chen, Qiwei, Huan Zhao, Wei Li, Pipei Huang, & Wenwu Ou. (2019). Behavior sequence transformer for e-commerce recommendation in Alibaba. 1–4. 238 indexed citations breakdown →
5.
Chen, Wen, Pipei Huang, Jiaming Xu, et al.. (2019). POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. 2662–2670. 119 indexed citations
6.
Wen, Hong, Jing Zhang, Quan Lin, et al.. (2018). Multi-Level Deep Cascade Trees for Conversion Rate Prediction.. arXiv (Cornell University). 1 indexed citations
7.
Wang, Jizhe, Pipei Huang, Huan Zhao, et al.. (2018). Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 839–848. 313 indexed citations breakdown →
8.
Huang, Pipei, et al.. (2012). Learning a projective mapping to locate animals in video using RFID. 3830–3836. 2 indexed citations
9.
Huang, Pipei, Gang Wang, & Shiyin Qin. (2011). Boosting for transfer learning from multiple data sources. Pattern Recognition Letters. 33(5). 568–579. 29 indexed citations
10.
Huang, Pipei, Gang Wang, & Shiyin Qin. (2010). A novel learning approach to multiple tasks based on boosting methodology. Pattern Recognition Letters. 31(12). 1693–1700. 4 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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