This map shows the geographic impact of Donghui 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 Donghui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Lin more than expected).
This network shows the impact of papers produced by Donghui 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 Donghui Lin. The network helps show where Donghui Lin may publish in the future.
Co-authorship network of co-authors of Donghui Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Donghui Lin.
A scholar is included among the top collaborators of Donghui 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 Donghui Lin. Donghui Lin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lin, Donghui, Yohei Murakami, & Toru Ishida. (2018). A Framework for Multi-Language Service Design with the Language Grid. Language Resources and Evaluation. 3276–3281.1 indexed citations
8.
Murakami, Yohei, Donghui Lin, Nancy Ide, & James Pustejovsky. (2016). Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies (WLSI/OIAF4HLT2016).. International Conference on Computational Linguistics.2 indexed citations
9.
Ishida, Toru, et al.. (2014). Bilingual Dictionary Induction as an Optimization Problem. Language Resources and Evaluation. 2122–2129.4 indexed citations
10.
Lin, Donghui, et al.. (2014). Crowdsourcing for Evaluating Machine Translation Quality. Language Resources and Evaluation. 3456–3463.7 indexed citations
11.
Murakami, Yohei, et al.. (2014). Integration of Workflow and Pipeline for Language Service Composition. Language Resources and Evaluation. 3829–3836.2 indexed citations
Deng, Xuewei, Qihua Zhu, Wanguo Zheng, et al.. (2014). Research and construction progress of SG-III laser facility. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9266. 926607–926607.9 indexed citations
14.
Lin, Donghui, et al.. (2013). Interactivity Modeling for Machine Translation Mediated Communication. 112(435). 33–38.1 indexed citations
15.
Murakami, Yohei, et al.. (2013). Interoperability between Service Composition and Processing Pipeline: Case Study on the Language Grid and UIMA. International Joint Conference on Natural Language Processing. 1052–1056.1 indexed citations
Lin, Donghui, et al.. (2012). Two Phase Evaluation for Selecting Machine Translation Services. Language Resources and Evaluation. 1771–1778.2 indexed citations
18.
Lin, Donghui, et al.. (2012). Service Composition Scenarios for Task-Oriented Translation. Language Resources and Evaluation. 2951–2958.2 indexed citations
19.
Lin, Donghui, et al.. (2010). Composing Human and Machine Translation Services: Language Grid for Improving Localization Processes.. Language Resources and Evaluation. 500–506.11 indexed citations
20.
Murakami, Yohei, et al.. (2010). Language Service Management with the Language Grid. Language Resources and Evaluation. 3526–3531.4 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.