This map shows the geographic impact of Hao Yu'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 Hao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yu more than expected).
This network shows the impact of papers produced by Hao Yu. 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 Hao Yu. The network helps show where Hao Yu may publish in the future.
Co-authorship network of co-authors of Hao Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yu.
A scholar is included among the top collaborators of Hao Yu 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 Hao Yu. Hao Yu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Shu, et al.. (2013). Semi-supervised Classification of Twitter Messages for Organization Name Disambiguation. International Joint Conference on Natural Language Processing. 869–873.1 indexed citations
10.
Zhang, Shu, et al.. (2012). An Adaptive Method for Organization Name Disambiguation with Feature Reinforcing. Waseda University Repository (Waseda University). 237–245.3 indexed citations
11.
Xia, Yingju, et al.. (2012). Pattern analysis for load forecasting. 1. 339–343.4 indexed citations
12.
Meng, Yao, et al.. (2011). HPB SMT of FRDC Assisted by Paraphrasing for the NTCIR-9 PatentMT.. NTCIR.2 indexed citations
13.
Zhang, Shu & Hao Yu. (2011). Supervised and Semi-supervised Methods based Organization Name Disambiguity. Waseda University Repository (Waseda University). 615–621.
14.
Li, Fangtao, Chao Han, Minlie Huang, et al.. (2010). Structure-Aware Review Mining and Summarization. International Conference on Computational Linguistics. 653–661.175 indexed citations
15.
He, Zhongjun, Yao Meng, & Hao Yu. (2010). Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG. Conference of the Association for Machine Translation in the Americas.7 indexed citations
16.
He, Zhongjun, Yao Meng, & Hao Yu. (2010). Learning Phrase Boundaries for Hierarchical Phrase-based Translation. International Conference on Computational Linguistics. 383–390.3 indexed citations
17.
Xia, Yingju, et al.. (2010). Morpheme-based product features categorization in Chinese reviews mining. 324–329.2 indexed citations
18.
Yang, Yuhang, et al.. (2010). Fault-Tolerant Learning for Term Extraction. Waseda University Repository (Waseda University). 321–330.8 indexed citations
Yu, Hao, et al.. (2005). The Chinese Named Entity Categorization Based on the People's Daily Corpus. 20(6). 639–49.1 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.