Lide Wu

2.1k citations
85 papers · 1.3k · h-index 19

Impact in

    • Video Analysis and Summarization
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Face and Expression Recognition
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

    • Advanced Image and Video Retrieval Techniques 18
    • Video Analysis and Summarization 17
    • Image Retrieval and Classification Techniques 16
    • Face and Expression Recognition 11
    • Topic Modeling 14
    • Neural Networks and Applications 13
    • Natural Language Processing Techniques 12
    • Advanced Text Analysis Techniques 11

Lide Wu

77 papers receiving 1.2k citations

Peers

Lide Wu
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 602
  • Artificial Intelligence 703
  • Signal Processing 171
  • Media Technology 69
  • Computer Graphics and Computer-Aided Design 27
Replace L. Hagen with:
L. Hagen United States
Kaspar Riesen Switzerland
P.W. Grant United Kingdom
Fenlin Liu China
Mehdi Hosseinzadeh Aghdam Iran
Simon Tong United States
Patrick M. Murphy United States
H. B. Kekre India
Xiangyang Luo China
Lide Wu relative to L. Hagen United States L. Hagen's profile →
Citations per field
00.5×2.6×
L. Hagen · 1×
Citations per year

Countries citing papers authored by Lide Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lide Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lide 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 Lide Wu Line = papers co-authored together Lide Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009227
2 2002114
3 200590
4 200567
5
Semantic Orientation Computing Based on HowNet
200665
6 200859
7 198252
8 199832
9 200627
10
Structural Opinion Mining for Graph-based Sentiment Representation
201126
11 200525
12 199024
13 200524
14 200123
15 199923
16 199722
17 200420
18 200919
19 199819
20 200318

About Lide Wu

Lide Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Information Systems, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Video Analysis and Summarization (17 papers), Image Retrieval and Classification Techniques (16 papers), Topic Modeling (14 papers), Neural Networks and Applications (13 papers), Natural Language Processing Techniques (12 papers), Face and Expression Recognition (11 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (602 citations), Artificial Intelligence (703 citations), Signal Processing (171 citations), Media Technology (69 citations) and Computer Graphics and Computer-Aided Design (27 citations). Lide Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuanjing Huang, Qi Zhang, Yuanbin Wu, Xue-Bin Liang, Xingquan Zhu, Xipeng Qiu, Ahmed K. Elmagarmid, Youguang Guo, Zhe Feng and Jingyu Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and Signal Processing Image Communication.

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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