Xixun Lin

655 total citations
21 papers, 362 citations indexed

About

Xixun Lin is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Xixun Lin has authored 21 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Xixun Lin's work include Advanced Graph Neural Networks (13 papers), Topic Modeling (9 papers) and Recommender Systems and Techniques (5 papers). Xixun Lin is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Topic Modeling (9 papers) and Recommender Systems and Techniques (5 papers). Xixun Lin collaborates with scholars based in China, Australia and United States. Xixun Lin's co-authors include Chuan Zhou, Jiangxia Cao, Tingwen Liu, Bin Wang, Bin Wang, Yanan Cao, Jia Wu, Luchen Liu, Shu Guo and Hong Yang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xixun Lin

19 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xixun Lin China 10 291 163 65 60 39 21 362
Alberto García-Durán Switzerland 8 397 1.4× 54 0.3× 83 1.3× 125 2.1× 24 0.6× 16 448
Linmei Hu China 6 366 1.3× 195 1.2× 53 0.8× 29 0.5× 52 1.3× 8 424
Saurabh Kataria United States 10 305 1.0× 160 1.0× 89 1.4× 39 0.7× 14 0.4× 27 422
Bhavana Dalvi United States 12 352 1.2× 125 0.8× 83 1.3× 26 0.4× 61 1.6× 21 450
Chi Thang Duong Australia 9 173 0.6× 76 0.5× 45 0.7× 34 0.6× 22 0.6× 15 252
Jianwu Yang China 11 511 1.8× 197 1.2× 40 0.6× 22 0.4× 41 1.1× 32 594
Sebastijan Dumančić Belgium 6 393 1.4× 53 0.3× 97 1.5× 97 1.6× 17 0.4× 12 428
Chen Gao China 11 166 0.6× 114 0.7× 27 0.4× 23 0.4× 33 0.8× 20 249
Cheng Xiang Zhai United States 8 241 0.8× 298 1.8× 105 1.6× 28 0.5× 39 1.0× 15 431

Countries citing papers authored by Xixun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xixun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xixun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xixun Lin. A scholar is included among the top collaborators of Xixun Lin 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 Xixun Lin. Xixun Lin 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
2.
Lin, Xixun, Yanan Cao, Sun Nan, et al.. (2025). Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. 4755–4765. 3 indexed citations
3.
Lin, Xixun, Yanan Cao, Lixin Zou, et al.. (2025). Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Transactions on Information Systems. 43(3). 1–31. 11 indexed citations
4.
Cao, Yanan, Xixun Lin, Chuan Zhou, et al.. (2025). IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. Neural Networks. 188. 107381–107381. 6 indexed citations
5.
Lin, Xixun, et al.. (2025). UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 39(12). 12559–12567.
6.
Cao, Yanan, Xixun Lin, Yupeng Wu, et al.. (2024). A data-centric framework of improving graph neural networks for knowledge graph embedding. World Wide Web. 28(1). 2 indexed citations
7.
Cao, Yanan, Ren Li, Xixun Lin, et al.. (2024). VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web. 27(3). 2 indexed citations
8.
Lin, Xixun, Chuan Zhou, Jia Wu, et al.. (2023). Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1815–1828. 8 indexed citations
9.
Lin, Xixun, Chuan Zhou, Jia Wu, et al.. (2022). Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognition. 133. 109042–109042. 43 indexed citations
10.
Liu, Luchen, et al.. (2022). Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8347–8351. 1 indexed citations
11.
Cao, Jiangxia, Xixun Lin, Xin Cong, et al.. (2022). DisenCDR. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 267–277. 60 indexed citations
12.
Lin, Xixun, Zhao Li, Peng Zhang, et al.. (2022). Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4607–4621. 16 indexed citations
13.
Lin, Xixun, Jiangxia Cao, Peng Zhang, et al.. (2021). Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. 360–369. 6 indexed citations
14.
Liu, Luchen, Xixun Lin, Peng Zhang, & Bin Wang. (2021). Improving Cross-Domain Slot Filling with Common Syntactic Structure. 7638–7642. 5 indexed citations
15.
Cao, Jiangxia, Xixun Lin, Shu Guo, et al.. (2021). Bipartite Graph Embedding via Mutual Information Maximization. 635–643. 75 indexed citations
16.
Lin, Xixun, Jia Wu, Chuan Zhou, et al.. (2021). Task-adaptive Neural Process for User Cold-Start Recommendation. Monash University Research Portal (Monash University). 1306–1316. 53 indexed citations
17.
Lin, Xixun, Chuan Zhou, Hong Yang, et al.. (2020). Exploratory Adversarial Attacks on Graph Neural Networks. 1136–1141. 11 indexed citations
18.
Lin, Xixun, Hong Yang, Jia Wu, Chuan Zhou, & Bin Wang. (2019). Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. 429–438. 23 indexed citations
19.
Lin, Xixun, et al.. (2018). A Knowledge Base Completion Model Based on Path Feature Learning. International Journal of Computers Communications & Control. 13(1). 71–71. 3 indexed citations
20.
Lin, Xixun, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, & Renchu Guan. (2018). Relation path embedding in knowledge graphs. Neural Computing and Applications. 31(9). 5629–5639. 23 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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