Mei‐Ling Shyu

6.9k citations
257 papers · 5.3k · 1 hit paper · h-index 36

Impact in

    • Video Analysis and Summarization
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Video Surveillance and Tracking Methods
    • Anomaly Detection Techniques and Applications
    • Text and Document Classification Technologies
    • Imbalanced Data Classification Techniques

Papers in

Mei‐Ling Shyu

243 papers receiving 5.0k citations

Mei‐Ling Shyu's Hit Papers

A Survey on Deep Learning 2018 · 1.0k citations
1.0k0+2+5Years since publication2505007501000

Peers

Mei‐Ling Shyu
Comparison fields: 5 of 186
  • Computer Vision and Pattern Recognition 2.2k
  • Artificial Intelligence 2.5k
  • Signal Processing 790
  • Computer Networks and Communications 843
  • Information Systems 706
Replace Mohammed Azmi Al‐Betar with:
Mohammed Azmi Al‐Betar Jordan
Robi Polikar United States
S. S. Iyengar United States
Joshua Zhexue Huang China
Sung‐Bae Cho South Korea
Luca Oneto Italy
Rui Zhang China
Hieu Pham United States
Bo Liu China
Abbes Amira United Kingdom
Mei‐Ling Shyu relative to Mohammed Azmi Al‐Betar Jordan Mohammed Azmi Al‐Betar's profile →
Citations per field
00.5×1.5×2.1×
Mohammed Azmi Al‐Betar · 1×
Citations per year

Countries citing papers authored by Mei‐Ling Shyu

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Ling Shyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Ling Shyu. 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 Mei‐Ling Shyu. The network helps show where Mei‐Ling Shyu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on Deep Learning
Hit paper breakdown →
20181028
2
A Novel Anomaly Detection Scheme Based on Principal Component Classifier
2003428
3 2018165
4 2015127
5 2018124
6 2008106
7 201183
8 201866
9 201661
10 201957
11 200855
12 200453
13 200349
14 201148
15 200448
16 200647
17 200547
18 201845
19 200743
20 200842

About Mei‐Ling Shyu

Mei‐Ling Shyu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Information Systems, having authored 257 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (84 papers), Video Analysis and Summarization (76 papers), Image Retrieval and Classification Techniques (64 papers), Anomaly Detection Techniques and Applications (30 papers), Music and Audio Processing (24 papers), Data Management and Algorithms (23 papers), Text and Document Classification Technologies (22 papers) and Data Mining Algorithms and Applications (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Artificial Intelligence (2.5k citations), Signal Processing (790 citations), Computer Networks and Communications (843 citations) and Information Systems (706 citations). Mei‐Ling Shyu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shu‐Ching Chen, Yudong Tao, Samira Pouyanfar, Yilin Yan, Haiman Tian, S. S. Iyengar, Saad Sadiq, Min Chen, Chengcui Zhang and LiWu Chang. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Multimedia, Information Systems Frontiers and Multimedia Tools and Applications.

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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