Tianxin Wei

620 citations
8 papers · 307 indexed · 1 hit paper · h-index 5
Journals
ArXiv.org (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)

In The Last Decade

Tianxin Wei

6 papers receiving 302 citations

Hit Papers

Causal Intervention for Leveraging Popularity Bias in Rec...239202120262022202450100150200

Peers

Tianxin Wei
Comparison fields: 5 of 29
  • Information Systems 247
  • Management Science and Operations Research 107
  • Artificial Intelligence 218
  • Computer Science Applications 12
  • Transportation 14
Replace Dugang Liu with:
Dugang Liu China
João Vinagre Portugal
Flavian Vasile United States
Aghiles Salah Singapore
Teng Xiao China
Rocío Cañamares Spain
Daniel Valcarce Spain
Shuqing Bian China
Tianxin Wei relative to Dugang Liu China Dugang Liu's profile →
Citations per field
00.5×1.5×2.3×
Dugang Liu · 1×
Citations per year

Countries citing papers authored by Tianxin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Tianxin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Tianxin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tianxin Wei Line = papers co-authored together Tianxin Wei links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20250
2 20250
3 20247
4 20247
5 20241
6 202225
7
Causal Intervention for Leveraging Popularity Bias in Recommendationbreakdown →
2021239
8 202028

About Tianxin Wei

Tianxin Wei is a scholar working on Artificial Intelligence, Signal Processing and Geography, Planning and Development, having authored 8 papers that have together received 307 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Advanced Bandit Algorithms Research (2 papers), Topic Modeling (2 papers), Data Stream Mining Techniques (2 papers), Advanced Graph Neural Networks (2 papers), Reinforcement Learning in Robotics (1 paper), Geographic Information Systems Studies (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Information Systems (247 citations), Management Science and Operations Research (107 citations) and Artificial Intelligence (218 citations). Tianxin Wei has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiangnan He, Fuli Feng, Yang Zhang, Chonggang Song, Guohui Ling, Yongdong Zhang, Jingrui He, Yizhou Sun, Wei Wang and Ruirui Li. Their work appears in journals such as ArXiv.org, arXiv (Cornell University) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

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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