Jiaxi Tang

3.0k citations
13 papers · 588 indexed · 1 hit paper · h-index 9
Topics
Recommender Systems and Techniques (4 papers)Human Pose and Action Recognition (3 papers)Advanced Bandit Algorithms Research (3 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jiaxi Tang

13 papers receiving 569 citations

Hit Papers

Sequential Recommendation with User Memory Networks20182026202020232018100200300

Peers

Jiaxi Tang
Comparison fields: 5 of 74
  • Information Systems 400
  • Artificial Intelligence 355
  • Computer Vision and Pattern Recognition 178
  • Management Science and Operations Research 150
  • Computer Networks and Communications 39
Replace Zelin Hu with:
Zelin Hu China
Duantengchuan Li China
C. Ravindranath Chowdary India
Qingyi Hua China
Νικόλαος Κωνσταντίνου Greece
Eric Sven Ristad United States
Lifu Huang United States
Joanna Ng Canada
Harri Hakonen Finland
Andrew R. Golding United States
Jiaxi Tang relative to Zelin Hu China Zelin Hu's profile →
Citations per field
00.5×
Zelin Hu · 1×
Citations per year

Countries citing papers authored by Jiaxi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxi Tang

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 27
3 9
4 14
5 8
6 20
7 46
8 4
9 6
10 6
11 47
12
Sequential Recommendation with User Memory Networksbreakdown →
311
13 86

About Jiaxi Tang

Jiaxi Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Management Science and Operations Research, having authored 13 papers that have together received 588 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Human Pose and Action Recognition (3 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Information Systems (400 citations), Management Science and Operations Research (150 citations) and Artificial Intelligence (355 citations). Jiaxi Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongyuan Zha, Hongteng Xu, Yongfeng Zhang, Zheng Qin, Xu Chen, Yixin Cao, Ke Wang, Yaqin Zhao, Ed H. and Lichan Hong. Their work appears in journals such as Frontiers in Neuroscience, Applied Animal Behaviour Science and Artificial Intelligence Review.

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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