Xin Xin

2.0k total citations
82 papers, 1.0k citations indexed

About

Xin Xin is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Xin Xin has authored 82 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 44 papers in Information Systems and 18 papers in Management Science and Operations Research. Recurrent topics in Xin Xin's work include Recommender Systems and Techniques (38 papers), Topic Modeling (21 papers) and Advanced Bandit Algorithms Research (17 papers). Xin Xin is often cited by papers focused on Recommender Systems and Techniques (38 papers), Topic Modeling (21 papers) and Advanced Bandit Algorithms Research (17 papers). Xin Xin collaborates with scholars based in China, United Kingdom and United States. Xin Xin's co-authors include Joemon M. Jose, Xiangnan He, Alexandros Karatzoglou, Ioannis Arapakis, Youtao Zhang, Ping Guo, Jun Yang, Yongfeng Zhang, Yongdong Zhang and Masahiro Kaneda and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Knowledge and Data Engineering and Applied Soft Computing.

In The Last Decade

Xin Xin

76 papers receiving 986 citations

Peers

Xin Xin
Zhonghai Wu China
Jianlong Tan China
Vladimir Vlassov Sweden
Rana Forsati Iran
Jiawei Zhang China
Xin Dong United States
Xun Zheng China
Shiwen Wu China
Lidan Shou China
Zhonghai Wu China
Xin Xin
Citations per year, relative to Xin Xin Xin Xin (= 1×) peers Zhonghai Wu

Countries citing papers authored by Xin Xin

Since Specialization
Citations

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

Fields of papers citing papers by Xin Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Xin. A scholar is included among the top collaborators of Xin Xin 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 Xin Xin. Xin Xin 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
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Ding, Yue, Xin Xin, Yuxiang Lu, et al.. (2025). Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. 429–438. 1 indexed citations
4.
Xin, Xin, et al.. (2025). Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering. 37(12). 7076–7089.
5.
Cheng, Ming, Lingling Wang, Dandan Guo, et al.. (2024). Clinicopathological and molecular genetic analysis of 13 cases of primary retroperitoneal Ewing sarcoma. Annals of Diagnostic Pathology. 72. 152321–152321.
6.
Cai, Qingpeng, Xiangyu Zhao, Xin Xin, et al.. (2024). AgentIR: 1st Workshop on Agent-based Information Retrieval. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3025–3028. 1 indexed citations
7.
Ren, Zhaochun, Ruobing Xie, Yan Su, et al.. (2024). Content-Based Collaborative Generation for Recommender Systems. Leiden Repository (Leiden University). 2420–2430. 2 indexed citations
8.
Xin, Xin, et al.. (2024). MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. Leiden Repository (Leiden University). 2375–2388. 3 indexed citations
9.
Gao, Shen, Bowen Fang, Xin Xin, et al.. (2024). Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18030–18038. 7 indexed citations
10.
He, Xiangnan, et al.. (2023). A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. 331–340. 25 indexed citations
11.
Chen, Jiajia, Jiancan Wu, Jiawei Chen, et al.. (2023). How graph convolutions amplify popularity bias for recommendation?. Frontiers of Computer Science. 18(5). 8 indexed citations
12.
Xin, Xin, Xiangyuan Liu, Pengjie Ren, et al.. (2023). Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. arXiv (Cornell University). 932–941. 14 indexed citations
13.
Xin, Xin, Youtao Zhang, & Jun Yang. (2020). ELP2IM: Efficient and Low Power Bitwise Operation Processing in DRAM. 303–314. 50 indexed citations
14.
Xin, Xin, Youtao Zhang, & Jun Yang. (2019). ROC. 1–6. 11 indexed citations
15.
Yuan, Fajie, Xin Xin, Xiangnan He, et al.. (2018). f BGD : Learning Embeddings From Positive Unlabeled Data with BGD.. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 198–207. 14 indexed citations
16.
Xin, Xin, Yang Cai, Changcheng Li, Xiaokang Wang, & Jiandong Zhao. (2018). Low Visibility License Plate Area Detection Based on Dark Channel Prior Method and Top Hat Operation. 270–273. 1 indexed citations
17.
Xin, Xin, et al.. (2015). Cross-domain collaborative filtering with review text. International Conference on Artificial Intelligence. 1827–1833. 22 indexed citations
18.
Wei, Xiaochi, Heyan Huang, Chin-Yew Lin, et al.. (2015). Re-ranking voting-based answers by discarding user behavior biases. International Conference on Artificial Intelligence. 2380–2386. 8 indexed citations
19.
Xin, Xin, Zhu Li, Zhan Ma, & Aggelos K. Katsaggelos. (2013). Robust feature selection with self-matching score. 4363–4366. 3 indexed citations
20.
Xin, Xin, Michael R. Lyu, & Irwin King. (2011). CMAP. 455–464. 1 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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