Changxin Tian

21 total papers · 1.3k total citations
11 papers, 726 citations indexed

About

Changxin Tian is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Changxin Tian has authored 11 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Changxin Tian's work include Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (6 papers). Changxin Tian is often cited by papers focused on Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (6 papers). Changxin Tian collaborates with scholars based in China and United States. Changxin Tian's co-authors include Wayne Xin Zhao, Zihan Lin, Yupeng Hou, Yaliang Li, Xingyu Pan, Yushuo Chen, Xu Chen, Ji-Rong Wen, Xinyan Fan and Nan Yang and has published in prestigious journals such as ACM Transactions on Information Systems, Proceedings of the ACM Web Conference 2022 and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Changxin Tian

11 papers receiving 720 citations

Hit Papers

Improving Graph Collabora... 2021 2026 2022 2024 2022 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Changxin Tian 635 553 153 102 67 11 726
Jianxin Chang 595 0.9× 539 1.0× 174 1.1× 115 1.1× 66 1.0× 17 803
Ali Elkahky 470 0.7× 430 0.8× 210 1.4× 78 0.8× 72 1.1× 10 660
Christopher DuBois 608 1.0× 491 0.9× 249 1.6× 146 1.4× 66 1.0× 10 808
Zihan Lin 522 0.8× 455 0.8× 124 0.8× 101 1.0× 57 0.9× 32 642
Yuhao Yang 461 0.7× 492 0.9× 114 0.7× 65 0.6× 63 0.9× 14 629
Beidou Wang 434 0.7× 431 0.8× 138 0.9× 117 1.1× 67 1.0× 12 710
Malte Ludewig 660 1.0× 443 0.8× 156 1.0× 250 2.5× 56 0.8× 13 740
Shengxian Wan 378 0.6× 514 0.9× 169 1.1× 86 0.8× 46 0.7× 6 701
Yu Zhu 401 0.6× 375 0.7× 132 0.9× 124 1.2× 71 1.1× 15 626
Zhankui He 535 0.8× 509 0.9× 211 1.4× 91 0.9× 58 0.9× 23 721

Countries citing papers authored by Changxin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Changxin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changxin Tian

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

All Works

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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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