Shu‐Ching Chen
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- Video Analysis and Summarization 81
- Advanced Image and Video Retrieval Techniques 76
- Image Retrieval and Classification Techniques 59
- Geology top 0.5%
- Signal Processing top 0.5%
- Data Management and Algorithms 31
- Music and Audio Processing 27
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications 39
- Text and Document Classification Technologies 22
- Environmental Engineering top 1%
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- Multimedia Communication and Technology 18
Shu‐Ching Chen
287 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 2.3k
- Geology 502
- Signal Processing 821
- Artificial Intelligence 2.4k
- Environmental Engineering 922
Countries citing papers authored by Shu‐Ching Chen
This map shows the geographic impact of Shu‐Ching Chen'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 Shu‐Ching Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ching Chen more than expected).
Fields of papers citing papers by Shu‐Ching Chen
This network shows the impact of papers produced by Shu‐Ching Chen. 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 Shu‐Ching Chen. The network helps show where Shu‐Ching Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu‐Ching Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 145 | |
| 14 | 2018 | 63 | |
| 15 | A Survey on Deep Learningbreakdown → | 2018 | 915 |
| 16 | 2018 | 39 | |
| 17 | Data-Driven Techniques in Disaster Information Managementbreakdown → | 2017 | 250 |
| 18 | 2017 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2008 | 5 |
About Shu‐Ching Chen
Shu‐Ching Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Geology, having authored 299 papers that have together received 6.8k indexed citations. Recurring topics across this work include Video Analysis and Summarization (81 papers), Advanced Image and Video Retrieval Techniques (76 papers), Image Retrieval and Classification Techniques (59 papers), Anomaly Detection Techniques and Applications (39 papers), Data Management and Algorithms (31 papers), Music and Audio Processing (27 papers), Text and Document Classification Technologies (22 papers) and Multimedia Communication and Technology (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Geology (502 citations), Signal Processing (821 citations), Artificial Intelligence (2.4k citations) and Environmental Engineering (922 citations). Shu‐Ching Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mei‐Ling Shyu, Chengcui Zhang, Samira Pouyanfar, Haiman Tian, S. S. Iyengar, Yudong Tao, Keqi Zhang, Jianhua Yan, Yilin Yan and Min Chen. Their work appears in journals such as IEEE Multimedia, Multimedia Tools and Applications, ACM Computing Surveys, IEEE Transactions on Multimedia and World Wide Web.
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.