Citations per year, relative to Changning Huang Changning Huang (= 1×)
peers
Tsutomu Hirao
Countries citing papers authored by Changning Huang
Since
Specialization
Citations
This map shows the geographic impact of Changning Huang'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 Changning Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changning Huang more than expected).
This network shows the impact of papers produced by Changning Huang. 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 Changning Huang. The network helps show where Changning Huang may publish in the future.
Co-authorship network of co-authors of Changning Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Changning Huang.
A scholar is included among the top collaborators of Changning Huang 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 Changning Huang. Changning Huang 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.
Gao, Jianfeng, Jian‐Yun Nie, Endong Xun, et al.. (2017). Improving Query Translation for CLIR Using Statistical Models. International ACM SIGIR Conference on Research and Development in Information Retrieval.
2.
Huang, Changning, et al.. (2009). Extracting Keyphrases from Chinese News Articles Using TextRank and Query Log Knowledge. Waseda University Repository (Waseda University). 2. 733–740.4 indexed citations
3.
Huang, Changning, et al.. (2008). The Character-based CRF Segmenter of MSRA&NEU for the 4th Bakeoff. International Joint Conference on Natural Language Processing. 98–101.2 indexed citations
4.
Huang, Changning. (2007). Three Complements to Make Better Guideline of Chinese Word Segmentation. Zhongwen xinxi xuebao.
5.
Huang, Changning & Hai Zhao. (2006). Which Is Essential for Chinese Word Segmentation: Character versus Word. Waseda University Repository (Waseda University). 1–12.8 indexed citations
6.
Zhao, Hai, Changning Huang, & Mu Li. (2006). An Improved Chinese Word Segmentation System with Conditional Random Field. Meeting of the Association for Computational Linguistics. 162–165.117 indexed citations
7.
Zhao, Hai, Changning Huang, Mu Li, & Bao‐Liang Lu. (2006). Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling. Pacific Asia Conference on Language, Information, and Computation. 87–94.65 indexed citations
8.
Li, Hongqiao, Changning Huang, Jianfeng Gao, & Xiaozhong Fan. (2004). Chinese Chunking with Another Type of Spec. Meeting of the Association for Computational Linguistics. 41–48.11 indexed citations
Wang, Wei, et al.. (2001). Finding Target Language Correspondence for Lexicalized EBMT System.. 455–460.4 indexed citations
12.
Huang, Changning, et al.. (2001). Span-based Statistical Dependency Parsing of Chinese.. 677–684.2 indexed citations
13.
Sun, Maosong, et al.. (2000). Hua Yu: A Word-segmented and Part-Of-Speech Tagged Chinese Corpus. Language Resources and Evaluation.1 indexed citations
14.
Huang, Changning. (2000). A language model for word sense disambiguation. Applied Linguistics.
15.
Gao, Jianfeng, Jian‐Yun Nie, Jian Zhang, et al.. (2000). TREC-9 CLIR Experiments at MSRCN.. Text REtrieval Conference. 14(1). 3042–3042.16 indexed citations
16.
Huang, Changning. (1999). Algorithm for solving 3 character crossing ambiguities in Chinese word segmentation. Journal of Tsinghua University(Science and Technology).5 indexed citations
Ji, Donghong, Jun He, & Changning Huang. (1997). Learning New Compositions from Given Ones. 25–32.1 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.