Degen Huang

1.8k total citations
121 papers, 1.0k citations indexed

About

Degen Huang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Degen Huang has authored 121 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Artificial Intelligence, 33 papers in Molecular Biology and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Degen Huang's work include Topic Modeling (85 papers), Natural Language Processing Techniques (73 papers) and Biomedical Text Mining and Ontologies (33 papers). Degen Huang is often cited by papers focused on Topic Modeling (85 papers), Natural Language Processing Techniques (73 papers) and Biomedical Text Mining and Ontologies (33 papers). Degen Huang collaborates with scholars based in China, Japan and United States. Degen Huang's co-authors include Lishuang Li, Kaiyu Huang, Zhuang Liu, Huiwei Zhou, Zhuang Li, Jun Zhao, Li Zou, Fuji Ren, Fulin Shi and Long Chen and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Degen Huang

111 papers receiving 990 citations

Peers

Degen Huang
Comparison fields: 5 of 93
  • Artificial Intelligence 798
  • Molecular Biology 328
  • Management Science and Operations Research 120
  • Information Systems 104
  • Computer Vision and Pattern Recognition 70
Replace Chengjie Sun with:
Chengjie Sun China
Zornitsa Kozareva United States
Qika Lin China
Anthony Fader United States
Jianglei Han Singapore
Cícero dos Santos Brazil
Cunchao Tu China
Xinyan Xiao China
Yungho Leu Taiwan
Yubo Chen China
Chengjie Sun China View profile →
Citations per field, relative to Degen Huang
Degen Huang · 1×
Citations per year, relative to Degen Huang
Degen Huang · 1×

Countries citing papers authored by Degen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Degen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Degen 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 Degen Huang. The network helps show where Degen Huang may publish in the future.

Co-authorship network of co-authors of Degen Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Degen Huang. A scholar is included among the top collaborators of Degen 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 Degen Huang. Degen 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
# Work Indexed citations
1 1
2 0
3 1
4 5
5 2
6 5
7 1
8 1
9 12
10 6
11
Extraction of English Drug Names Based on Bert-CNN Mode.
2
12 4
13
A Distributional Semantics Based Syntagmatic Association Measuring Method.
1
14 1
15 38
16
Improving Feature-Based Biomedical Event Extraction System by Integrating Argument Information
6
17
Mining Large-scale Comparable Corpora from Chinese-English News Collections
6
18
CHINESE LEXICAL ANALYSIS BASED ON HYBRID MMSM MODEL
3
19
HMM and CRF Based Hybrid Model for Chinese Lexical Analysis
2
20
Chinese Dependency Analysis Based on Long-distance Dependency
0

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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