Kuang‐Hua Chen

2.5k citations
81 papers · 1.8k indexed · h-index 20
Topics
Natural Language Processing Techniques (20 papers)Topic Modeling (17 papers)Advanced Text Analysis Techniques (7 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Kuang‐Hua Chen

76 papers receiving 1.7k citations

Peers

Kuang‐Hua Chen
Comparison fields: 5 of 153
  • Molecular Biology 482
  • Biochemistry 371
  • Artificial Intelligence 351
  • Physiology 330
  • Economics and Econometrics 233
Replace Robert M. Oliver with:
Robert M. Oliver United States
Waqas Nawaz China
Jukka Luoma Finland
Arpita Chatterjee United States
Kun Ho Kim South Korea
John Erickson United States
Yuping Zhang China
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Kuang‐Hua Chen relative to Robert M. Oliver United States Robert M. Oliver's profile →
Citations per field
00.5×4.7×
Robert M. Oliver · 1×
Citations per year

Countries citing papers authored by Kuang‐Hua Chen

Since Specialization
Citations

This map shows the geographic impact of Kuang‐Hua Chen'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 Kuang‐Hua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang‐Hua Chen more than expected).

Fields of papers citing papers by Kuang‐Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Hua Chen. 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 Kuang‐Hua Chen. The network helps show where Kuang‐Hua Chen may publish in the future.

Co-authorship network of co-authors of Kuang‐Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Hua Chen. A scholar is included among the top collaborators of Kuang‐Hua Chen 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 Kuang‐Hua Chen. Kuang‐Hua Chen 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 3
2 3
3 2
4 37
5
The construction of a Chinese collocational knowledge resource and its application for second language acquisition
1
6 30
7 0
8
Overview of the NTCIR-7 ACLIA IR4QA Task
22
9
Overview of the NTCIR-6 Cross-Lingual Question Answering (CLQA) Task
19
10
Proceedings of the 19th Conference on Computational Linguistics and Speech Processing
15
11 31
12
Overview of the NTCIR-5 Cross-Lingual Question Answering Task (CLQA1)
18
13 10
14 2
15
The Chinese Text Retrieval Tasks of NTCIR Workshop 2.
8
16 0
17 1
18
AMINONUCLEOSIDE RENAL DISEASE IN THE TAIWAN MONKEYS.
0
19
Molecular cloning and sequence analysis of two distinct types of Xenopus laevis protein kinase C.
20
20 14

About Kuang‐Hua Chen

Kuang‐Hua Chen is a scholar working on Microbiology, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (17 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Biochemistry (371 citations), General Energy (20 citations) and Physiology (330 citations). Kuang‐Hua Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hsin‐Hsi Chen, Benny Hung‐Junn Chang, Lawrence Chan, Alexandre Lapillonne, John Anderson, David G. Gorenstein, Michael J. Quast, Javier Martı́nez-Botas, Roger F. McFeeters and Pei‐Yu Liao. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

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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