Lide Wu

2.1k citations
99 papers · 1.6k · h-index 20

Impact in

    • Video Analysis and Summarization
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies

Papers in

    • Natural Language Processing Techniques 19
    • Topic Modeling 19
    • Neural Networks and Applications 14
    • Advanced Text Analysis Techniques 12
    • Advanced Image and Video Retrieval Techniques 23
    • Video Analysis and Summarization 21
    • Image Retrieval and Classification Techniques 19
    • Face and Expression Recognition 11

Lide Wu

89 papers receiving 1.4k citations

Peers

Lide Wu
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 706
  • Artificial Intelligence 876
  • Signal Processing 199
  • Computer Graphics and Computer-Aided Design 35
  • Media Technology 78
Replace L. Hagen with:
L. Hagen United States
Nandakishore Kambhatla United States
Elke Achtert Germany
Fenlin Liu China
Simon Tong United States
Marco Bressan Italy
Xiuyi Jia China
Martin Pfeifle Germany
Mehdi Hosseinzadeh Aghdam Iran
K. Chidananda Gowda India
Lide Wu relative to L. Hagen United States L. Hagen's profile →
Citations per field
00.5×2.7×
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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009287
2 2002118
3 2005106
4
Semantic Orientation Computing Based on HowNet
200682
5 200575
6 198268
7 200867
8
Structural Opinion Mining for Graph-based Sentiment Representation
201141
9 199833
10 200628
11 200528
12 199028
13 199926
14 200126
15 200524
16 200423
17 199722
18 199821
19 200921
20 200119

About Lide Wu

Lide Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Information Systems, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (23 papers), Video Analysis and Summarization (21 papers), Natural Language Processing Techniques (19 papers), Topic Modeling (19 papers), Image Retrieval and Classification Techniques (19 papers), Neural Networks and Applications (14 papers), Advanced Text Analysis Techniques (12 papers) and Face and Expression Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Artificial Intelligence (876 citations), Signal Processing (199 citations), Computer Graphics and Computer-Aided Design (35 citations) and Media Technology (78 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, Zhe Feng, Shijin Li and Xindong Wu. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition and Lecture notes in computer science.

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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