Xiuqiang He

7.4k citations
99 papers · 2.5k indexed · 1 hit paper · h-index 27
Topics
Recommender Systems and Techniques (74 papers)Advanced Graph Neural Networks (29 papers)Advanced Bandit Algorithms Research (26 papers)
Partner nations
ChinaSwedenCanada

In The Last Decade

Xiuqiang He

91 papers receiving 2.4k citations

Hit Papers

UltraGCN2021202620222024202150100150

Peers

Xiuqiang He
Comparison fields: 5 of 89
  • Information Systems 1.7k
  • Artificial Intelligence 1.6k
  • Computer Vision and Pattern Recognition 744
  • Management Science and Operations Research 463
  • Computer Networks and Communications 238
Replace Xiaoqiang Zhu with:
Xiaoqiang Zhu China
Kun Gai China
Ying Fan China
Ruiming Tang China
Wenwu Ou China
Zhaochun Ren China
Jun Ma China
Chang Zhou China
Guibing Guo China
Xiuqiang He relative to Xiaoqiang Zhu China Xiaoqiang Zhu's profile →
Citations per field
00.5×4.5×
Xiaoqiang Zhu · 1×
Citations per year

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
#WorkIndexed citations
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18
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction
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19 4
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Modeling the Past and Future Contexts for Session-based Recommendation.
1

About Xiuqiang He

Xiuqiang He is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (74 papers), Advanced Graph Neural Networks (29 papers) and Advanced Bandit Algorithms Research (26 papers). The work is most often cited by research in Information Systems (1.7k citations), Artificial Intelligence (1.6k citations) and Management Science and Operations Research (463 citations). Xiuqiang He has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Ruiming Tang, Jieming Zhu, Huifeng Guo, Zhenhua Dong, Weinan Zhang, Zhaowei Wang, Yong Yu, Wei Guo, Xi Xiao and Kelong Mao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Information Sciences.

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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