Weide Liu

889 citations
41 papers · 484 · h-index 13

Impact in

Papers in

    • Advanced Neural Network Applications 10
    • Advanced Image and Video Retrieval Techniques 7
    • Visual Attention and Saliency Detection 6
    • Image and Video Quality Assessment 5
    • Multimodal Machine Learning Applications 4
    • Domain Adaptation and Few-Shot Learning 8

Weide Liu

34 papers receiving 482 citations

Peers

Weide Liu
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 348
  • Media Technology 64
  • Artificial Intelligence 209
  • Radiology, Nuclear Medicine and Imaging 49
  • Computer Graphics and Computer-Aided Design 7
Replace Mingjie Sun with:
Mingjie Sun China
Seong‐O Shim Saudi Arabia
Allah Bux Sargano Pakistan
Sérgio M. M. de Faria Portugal
Sara Sabour United States
Se Hyun Park South Korea
Alvin Wan United States
Asad Malik China
Nicholas Frosst United States
Rongyao Fang Hong Kong
Weide Liu relative to Mingjie Sun China Mingjie Sun's profile →
Citations per field
00.5×1.5×2.3×
Mingjie Sun · 1×
Citations per year

Countries citing papers authored by Weide Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weide Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 202049
3 202229
4 202227
5 202021
6 202121
7 202220
8 202317
9 202316
10 202315
11 202115
12 202314
13 202214
14 202312
15 202312
16 20117
17 20237
18 20245
19 20244
20 20243

About Weide Liu

Weide Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Computer Networks and Communications, having authored 41 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Visual Attention and Saliency Detection (6 papers), Image and Video Quality Assessment (5 papers), COVID-19 diagnosis using AI (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (348 citations), Media Technology (64 citations), Artificial Intelligence (209 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Computer Graphics and Computer-Aided Design (7 citations). Weide Liu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Guosheng Lin, Fayao Liu, Chi Zhang, Tzu-Yi Hung, Jingwen Hou, Henghui Ding, Zichuan Liu, Yuming Fang, Weisi Lin and Jun Cheng. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, IEEE Transactions on Multimedia, IEEE Journal of Biomedical and Health Informatics and International Journal of Computer Vision.

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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