Xun Liang

1.6k total citations
123 papers, 1.0k citations indexed

About

Xun Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xun Liang has authored 123 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in Xun Liang's work include Advanced Graph Neural Networks (23 papers), Complex Network Analysis Techniques (20 papers) and Neural Networks and Applications (17 papers). Xun Liang is often cited by papers focused on Advanced Graph Neural Networks (23 papers), Complex Network Analysis Techniques (20 papers) and Neural Networks and Applications (17 papers). Xun Liang collaborates with scholars based in China, United States and Taiwan. Xun Liang's co-authors include Xiaoping Zhou, Yuefeng Ma, Haiyan Zhang, Jichao Zhao, Xiaoyong Du, Xuan Zhang, Rong-Chang Chen, Rui Xu, Bo Wu and Xinyu Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xun Liang

105 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Liang China 15 507 226 197 190 150 123 1.0k
Chen Chen United States 21 732 1.4× 260 1.2× 253 1.3× 153 0.8× 131 0.9× 126 1.4k
Yan Fu China 19 451 0.9× 446 2.0× 262 1.3× 94 0.5× 91 0.6× 129 1.3k
Phayung Meesad Thailand 17 625 1.2× 68 0.3× 192 1.0× 158 0.8× 113 0.8× 115 1.2k
Daniel Aloise Canada 17 561 1.1× 143 0.6× 112 0.6× 116 0.6× 250 1.7× 63 1.5k
Zuzana Komínková Oplatková Czechia 15 331 0.7× 97 0.4× 102 0.5× 96 0.5× 81 0.5× 105 705
Christian Posse United States 17 255 0.5× 147 0.7× 161 0.8× 66 0.3× 135 0.9× 39 792
Il‐Chul Moon South Korea 15 346 0.7× 127 0.6× 196 1.0× 122 0.6× 127 0.8× 90 860
Xinran He United States 12 401 0.8× 505 2.2× 400 2.0× 160 0.8× 164 1.1× 31 1.2k
Cheng–Te Li Taiwan 22 678 1.3× 301 1.3× 457 2.3× 113 0.6× 192 1.3× 132 1.4k
İsmail Hakkı Toroslu Türkiye 18 315 0.6× 44 0.2× 307 1.6× 208 1.1× 141 0.9× 86 1.1k

Countries citing papers authored by Xun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Liang. A scholar is included among the top collaborators of Xun Liang 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 Xun Liang. Xun Liang 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
1.
Liang, Xun, et al.. (2024). DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection. Information Sciences. 668. 120520–120520. 4 indexed citations
2.
Liang, Xun, et al.. (2024). Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. 5797–5814. 4 indexed citations
3.
4.
5.
Zhang, Sensen, et al.. (2024). Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23707–23708. 2 indexed citations
6.
Liang, Xun, et al.. (2023). Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. ACM Transactions on Knowledge Discovery from Data. 17(7). 1–19. 1 indexed citations
7.
Zhang, Xuan, et al.. (2023). BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model. Electronics. 12(22). 4654–4654. 16 indexed citations
8.
Liang, Xun, et al.. (2023). Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16388–16389. 1 indexed citations
9.
Liang, Xun, et al.. (2022). Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. ACM Transactions on Knowledge Discovery from Data. 17(5). 1–25. 1 indexed citations
10.
Wang, Jiahao, Beibei Yuan, Xinran Lu, et al.. (2021). Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China. Human Vaccines & Immunotherapeutics. 17(12). 4873–4888. 52 indexed citations
11.
Liang, Xun, et al.. (2020). Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions. IEEE Access. 8. 152258–152275. 10 indexed citations
12.
Yu, Li, et al.. (2013). Collaborative Aggregation of Individual Rating for Group Evaluation. Pacific Asia Conference on Information Systems. 63. 1 indexed citations
13.
Yu, Li, Qiulin Li, & Xun Liang. (2012). Research on Viral Marketing Propagating Oriented to Marketing Context. International Conference on Information Systems. 2 indexed citations
14.
Liang, Xun. (2009). The Research on Financial Volatility with Sentiment Analysis. Zhongwen xinxi xuebao. 2 indexed citations
15.
Liang, Xun. (2009). An Effective Method of Pruning Support Vector Machine Classifiers. IEEE Transactions on Neural Networks. 21(1). 26–38. 20 indexed citations
16.
Liang, Xun, Rong-Chang Chen, & Xinyu Guo. (2008). Pruning Support Vector Machines Without Altering Performances. IEEE Transactions on Neural Networks. 19(10). 1792–1803. 20 indexed citations
17.
Liang, Xun. (2007). Implementation of Papers Management System of Academic Conference with Java. Computer Technology and Development. 1 indexed citations
18.
Liang, Xun. (2005). Removal of Hidden Neurons Based on Least Square Approximation. Microcomputer Development.
19.
Liang, Xun, et al.. (1997). Comments on "Diagonal recurrent neural networks for dynamic systems control". Reproof of theorems 2 and 4 [with reply]. IEEE Transactions on Neural Networks. 8(3). 811–814. 5 indexed citations
20.
Liang, Xun. (1994). Towards Solution of Inequalities in Compensating for Multilayer Perceptrons. International Conference on Neural Information Processing. 3(3). 1726–1730. 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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