Yuanbin Wu

2.5k citations
70 papers · 1.4k indexed · h-index 18

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Advanced Graph Neural Networks
    • Text and Document Classification Technologies
    • Domain Adaptation and Few-Shot Learning
    • Data Quality and Management

Papers in

Yuanbin Wu

60 papers receiving 1.3k citations

Peers

Yuanbin Wu
Comparison fields: 5 of 99
  • Artificial Intelligence 1.2k
  • Management Science and Operations Research 211
  • Computer Vision and Pattern Recognition 170
  • Information Systems 171
  • Signal Processing 34
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Lifu Huang United States
Hao Fei China
Wenhu Chen United States
Yequan Wang China
Jackie Chi Kit Cheung Canada
Xingcheng Yao China
Xiaozhi Wang China
Oscar Täckström United States
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Jiajun Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Yuanbin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanbin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuanbin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuanbin Wu Line = papers co-authored together Yuanbin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
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11 20238
12 20228
13 202217
14 202142
15 202025
16 201934
17 20151
18
Grammatical Error Correction Using Integer Linear Programming
201315
19
A Survey on Sentiment Analysis
20112
20
Structural Opinion Mining for Graph-based Sentiment Representation
201126

About Yuanbin Wu

Yuanbin Wu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (50 papers), Natural Language Processing Techniques (30 papers), Sentiment Analysis and Opinion Mining (16 papers), Advanced Text Analysis Techniques (12 papers), Advanced Graph Neural Networks (9 papers), Data Quality and Management (8 papers), Text and Document Classification Technologies (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Management Science and Operations Research (211 citations), Computer Vision and Pattern Recognition (170 citations), Information Systems (171 citations) and Signal Processing (34 citations). Yuanbin Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Man Lan, Shiliang Sun, Xuanjing Huang, Qi Zhang, Lide Wu, Xin Mao, Changzhi Sun, Wenting Wang, Junfeng Tian and Yijun Wang. Their work appears in journals such as Expert Systems with Applications, Marine Chemistry, IEEE Aerospace and Electronic Systems Magazine, Information Fusion and Neurocomputing.

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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