This map shows the geographic impact of Boxing Chen'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 Boxing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxing Chen more than expected).
This network shows the impact of papers produced by Boxing Chen. 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 Boxing Chen. The network helps show where Boxing Chen may publish in the future.
Co-authorship network of co-authors of Boxing Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Boxing Chen.
A scholar is included among the top collaborators of Boxing Chen 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 Boxing Chen. Boxing Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Boxing, Roland Kühn, George Foster, Colin Cherry, & Fei Huang. (2016). Bilingual Methods for Adaptive Training Data Selection for Machine Translation. Conference of the Association for Machine Translation in the Americas. 93–106.16 indexed citations
Chen, Boxing, Roland Kühn, & George Foster. (2014). A Comparison of Mixture and Vector Space Techniques for Translation Model Adaptation. Conference of the Association for Machine Translation in the Americas. 124–138.3 indexed citations
12.
Chen, Boxing, George Foster, & Roland Kühn. (2013). Adaptation of Reordering Models for Statistical Machine Translation. NPARC. 938–946.13 indexed citations
13.
Chen, Boxing, et al.. (2012). PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning. NPARC. 930–939.20 indexed citations
14.
Chen, Boxing & Roland Kühn. (2011). AMBER: A Modified BLEU, Enhanced Ranking Metric. NPARC. 71–77.20 indexed citations
15.
Chen, Boxing, Roland Kühn, & George Foster. (2011). Semantic smoothing and fabrication of phrase pairs for SMT. NPARC. 144–150.3 indexed citations
16.
Chen, Boxing, George Foster, & Roland Kühn. (2010). Bilingual Sense Similarity for Statistical Machine Translation. NPARC. 834–843.8 indexed citations
17.
Chen, Boxing, George Foster, Ulrich Germann, et al.. (2010). Lessons from NRC's Portage System at WMT 2010. NPARC. 127–132.16 indexed citations
18.
Kühn, Roland, et al.. (2010). Phrase Clustering for Smoothing TM Probabilities - or, How to Extract Paraphrases from Phrase Tables. NPARC. 608–616.10 indexed citations
19.
Chen, Boxing, et al.. (2008). I 2 R Multi-Pass Machine Translation System for IWSLT 2008. IWSLT. 46–51.2 indexed citations
20.
Chen, Boxing, Jun Sun, Hongfei Jiang, Min Zhang, & Ai Ti Aw. (2007). I 2 R Chinese-English Translation System for IWSLT 2007. IWSLT. 55–60.6 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.