Changning Huang

1.5k total citations
51 papers, 897 citations indexed

About

Changning Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Changning Huang has authored 51 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Changning Huang's work include Natural Language Processing Techniques (47 papers), Topic Modeling (32 papers) and Advanced Computational Techniques and Applications (9 papers). Changning Huang is often cited by papers focused on Natural Language Processing Techniques (47 papers), Topic Modeling (32 papers) and Advanced Computational Techniques and Applications (9 papers). Changning Huang collaborates with scholars based in China, United States and United Kingdom. Changning Huang's co-authors include Mu Li, Jianfeng Gao, Hai Zhao, Ming Zhou, Andi Wu, Endong Xun, Bao‐Liang Lu, Lei Zhang, Mu Li and Hai Zhao and has published in prestigious journals such as Applied Linguistics, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Changning Huang

46 papers receiving 772 citations

Peers

Changning Huang
Comparison fields: 5 of 56
  • Artificial Intelligence 847
  • Information Systems 159
  • Computer Vision and Pattern Recognition 146
  • Molecular Biology 60
  • Management Science and Operations Research 23
Tsutomu Hirao Japan
Timothy Chklovski United States
Alfio Gliozzo United States
Masayuki Asahara Japan
Taro Watanabe Japan
Eric K. Ringger United States
Danilo Giampiccolo Israel
Keh‐Yih Su Taiwan
Vasin Punyakanok United States
Kira Griffitt United States
Tsutomu Hirao Japan View profile →
Citations per field, relative to Changning Huang
Changning Huang · 1×
Citations per year, relative to Changning Huang
Changning Huang · 1×

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).

Fields of papers citing papers by Changning Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
# Title Journal Authors Indexed citations
1 Improving Query Translation for CLIR Using Statistical Models International ACM SIGIR Conference on Research and Development in Information Retrieval Jianfeng Gao, Jian‐Yun Nie et al. 0
2 Extracting Keyphrases from Chinese News Articles Using TextRank and Query Log Knowledge Waseda University Repository (Waseda University) Changning Huang, Mu Li et al. 4
3 The Character-based CRF Segmenter of MSRA&NEU for the 4th Bakeoff International Joint Conference on Natural Language Processing Changning Huang, Jingbo Zhu et al. 2
4 Three Complements to Make Better Guideline of Chinese Word Segmentation Zhongwen xinxi xuebao Changning Huang 0
5 Which Is Essential for Chinese Word Segmentation: Character versus Word Waseda University Repository (Waseda University) Changning Huang, Hai Zhao 8
6 An Improved Chinese Word Segmentation System with Conditional Random Field Meeting of the Association for Computational Linguistics Hai Zhao, Changning Huang et al. 117
7 Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling Pacific Asia Conference on Language, Information, and Computation Hai Zhao, Changning Huang et al. 65
8 Chinese Chunking with Another Type of Spec Meeting of the Association for Computational Linguistics Hongqiao Li, Changning Huang et al. 11
9 Adaptive Chinese word segmentation Jianfeng Gao, Andi Wu et al. 39
10 Finding the better indexing units for Chinese information retrieval Jianfeng Gao, Changning Huang et al. 1
11 Finding Target Language Correspondence for Lexicalized EBMT System. Wei Wang, Ming Zhou et al. 4
12 Span-based Statistical Dependency Parsing of Chinese. Changning Huang, Ming Zhou et al. 2
13 Hua Yu: A Word-segmented and Part-Of-Speech Tagged Chinese Corpus Language Resources and Evaluation Maosong Sun, Changning Huang et al. 1
14 A language model for word sense disambiguation Applied Linguistics Changning Huang 0
15 TREC-9 CLIR Experiments at MSRCN. Text REtrieval Conference Jianfeng Gao, Jian‐Yun Nie et al. 16
16 Algorithm for solving 3 character crossing ambiguities in Chinese word segmentation Journal of Tsinghua University(Science and Technology) Changning Huang 5
17 Combining a Chinese thesaurus with a Chinese dictionary Changning Huang et al. 1
18 Combining a Chinese thesaurus with a Chinese dictionary The COCOON platform (University of Paris) Changning Huang et al. 1
19 A quasi-dependency model for structural analysis of Chinese BaseNPs Jun Zhao, Changning Huang 1
20 Learning New Compositions from Given Ones Donghong Ji, Jun He et al. 1

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.

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