This map shows the geographic impact of Shouxun 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 Shouxun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouxun Lin more than expected).
This network shows the impact of papers produced by Shouxun 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 Shouxun Lin. The network helps show where Shouxun Lin may publish in the future.
Co-authorship network of co-authors of Shouxun Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Shouxun Lin.
A scholar is included among the top collaborators of Shouxun 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 Shouxun Lin. Shouxun 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
1.
Xie, Jun, et al.. (2014). RED: A Reference Dependency Based MT Evaluation Metric. International Conference on Computational Linguistics. 2042–2051.10 indexed citations
2.
Liu, Qun, Zhaopeng Tu, & Shouxun Lin. (2013). A Novel Graph-based Compact Representation of Word Alignment. Meeting of the Association for Computational Linguistics. 358–363.
3.
Xiao, Xinyan, Deyi Xiong, Min Zhang, Qun Liu, & Shouxun Lin. (2012). A Topic Similarity Model for Hierarchical Phrase-based Translation. Meeting of the Association for Computational Linguistics. 750–758.22 indexed citations
4.
Tu, Zhaopeng, et al.. (2012). Combining Multiple Alignments to Improve Machine Translation. International Conference on Computational Linguistics. 1249–1260.11 indexed citations
5.
Tu, Zhaopeng, Yifan He, Jennifer Foster, et al.. (2012). Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification. Arrow@dit (Dublin Institute of Technology). 2. 338–343.12 indexed citations
6.
Xiao, Xinyan, Deyi Xiong, Yang Liu, Qun Liu, & Shouxun Lin. (2012). Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation. International Conference on Computational Linguistics. 2883–2898.3 indexed citations
7.
Tu, Zhaopeng, Yang Liu, Qun Liu, & Shouxun Lin. (2011). Extracting Hierarchical Rules from a Weighted Alignment Matrix. International Joint Conference on Natural Language Processing. 1294–1303.5 indexed citations
8.
Xiao, Xinyan, Yang Liu, Qun Liu, & Shouxun Lin. (2011). Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training. Empirical Methods in Natural Language Processing. 880–888.7 indexed citations
Xiong, Deyi, M. Zhang, AiTi Aw, et al.. (2008). Refinements in BTG-based Statistical Machine Translation. International Joint Conference on Natural Language Processing. 505–512.9 indexed citations
15.
Lin, Shouxun. (2008). A Survey of Syntax-based Statistical Machine Translation. Zhongwen xinxi xuebao.1 indexed citations
16.
Liu, Yang, Yun Huang, Qun Liu, & Shouxun Lin. (2007). Forest-to-String Statistical Translation Rules. Meeting of the Association for Computational Linguistics. 704–711.35 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.