Ming–Ting Sun

6.3k citations
185 papers · 4.1k indexed · h-index 35

Ming–Ting Sun

183 papers receiving 3.9k citations

Peers

Ming–Ting Sun
Comparison fields: 5 of 112
  • Signal Processing 2.1k
  • Computer Vision and Pattern Recognition 3.2k
  • Media Technology 325
  • Human-Computer Interaction 129
  • Artificial Intelligence 520
Replace Ja‐Ling Wu with:
Ja‐Ling Wu Taiwan
Yap‐Peng Tan Singapore
Ebroul Izquierdo United Kingdom
Marco Bertini Italy
Bülent Sankur Türkiye
Shao‐Yi Chien Taiwan
Shiguo Lian China
Ivan V. Bajić Canada
Yan Lu China
Yitong Wang China
Ming–Ting Sun relative to Ja‐Ling Wu Taiwan Ja‐Ling Wu's profile →
Citations per field
00.5×1.5×2.4×
Ja‐Ling Wu · 1×
Citations per year

Countries citing papers authored by Ming–Ting Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming–Ting Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Ting Sun. 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 Ming–Ting Sun. The network helps show where Ming–Ting Sun may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2021107
2
Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation.
20193
3 201571
4 201447
5 20142
6
An algorithm for radar power line detection with tracking
20122
7 20127
8 201234
9 201128
10 20115
11
Trick-Play Optimization for H.264 Video Decoding
20109
12 20093
13 20064
14 200445
15 20031
16
Multi-path Transport of FGS Video
200310
17 20034
18 200211
19 20020
20 19985

About Ming–Ting Sun

Ming–Ting Sun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 185 papers that have together received 4.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (98 papers), Advanced Vision and Imaging (67 papers), Advanced Data Compression Techniques (56 papers), Image and Video Quality Assessment (47 papers), Advanced Image Processing Techniques (20 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Video Analysis and Summarization (16 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Vision and Pattern Recognition (3.2k citations) and Media Technology (325 citations). Ming–Ting Sun has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chia‐Wen Lin, Rogério Feris, Jun Xin, Jeongnam Youn, Yeping Su, Ching‐Yung Lin, Jun Xie, Weiyao Lin, Xiaodan Song and Jar‐Ferr Yang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Journal of Visual Communication and Image Representation, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Transactions on Broadcasting.

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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