Chao-Hong Liu

500 citations
34 papers · 312 indexed · h-index 8
Topics
Natural Language Processing Techniques (18 papers)Topic Modeling (14 papers)Speech and dialogue systems (9 papers)
Partner nations
TaiwanChinaIreland

In The Last Decade

Chao-Hong Liu

31 papers receiving 290 citations

Peers

Chao-Hong Liu
Comparison fields: 5 of 93
  • Artificial Intelligence 129
  • Biomaterials 41
  • Food Science 35
  • Organic Chemistry 28
  • Building and Construction 28
Replace Yanyang Gu with:
Yanyang Gu Australia
Mohammad Gias Uddin Bangladesh
Gilberto Pérez Spain
Yixin Zhu China
Xiaoying Yan China
P Pooja India
Junaid Akhtar Pakistan
Shengli Tian China
Zeyu Sun China
Nishat Anjum United States
Chao-Hong Liu relative to Yanyang Gu Australia Yanyang Gu's profile →
Citations per field
00.5×10×15×19×
Yanyang Gu · 1×
Citations per year

Countries citing papers authored by Chao-Hong Liu

Since Specialization
Citations

This map shows the geographic impact of Chao-Hong Liu'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 Chao-Hong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Hong Liu more than expected).

Fields of papers citing papers by Chao-Hong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Hong Liu. 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 Chao-Hong Liu. The network helps show where Chao-Hong Liu may publish in the future.

Co-authorship network of co-authors of Chao-Hong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Hong Liu. A scholar is included among the top collaborators of Chao-Hong Liu 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 Chao-Hong Liu. Chao-Hong Liu 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
#WorkIndexed citations
1 4
2 3
3 7
4 3
5 9
6 4
7 2
8 0
9 4
10 3
11
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts
3
12 33
13
IJCNLP-2017 Task 4: Customer Feedback Analysis.
6
14 19
15 5
16 102
17 4
18 3
19 34
20 1

About Chao-Hong Liu

Chao-Hong Liu is a scholar working on Artificial Intelligence, Otorhinolaryngology and Signal Processing, having authored 34 papers that have together received 312 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (14 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Artificial Intelligence (129 citations), Health Informatics (5 citations) and Biomaterials (41 citations). Chao-Hong Liu has collaborated with scholars based in Taiwan, China and Ireland. Frequent co-authors include Chung‐Hsien Wu, Yingju Liu, Yang Hu, Zhuohong Yang, Minjie Chen, Liang Yu, Andy Way, Manjunath Manubolu, Chih-Hao Yang and Xin Wang. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Colloids and Surfaces B Biointerfaces.

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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