Ming–Ting Sun

6.3k total citations
185 papers, 4.1k citations indexed

About

Ming–Ting Sun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ming–Ting Sun has authored 185 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Computer Vision and Pattern Recognition, 107 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Ming–Ting Sun's work include Video Coding and Compression Technologies (98 papers), Advanced Vision and Imaging (67 papers) and Advanced Data Compression Techniques (56 papers). Ming–Ting Sun is often cited by papers focused on Video Coding and Compression Technologies (98 papers), Advanced Vision and Imaging (67 papers) and Advanced Data Compression Techniques (56 papers). Ming–Ting Sun collaborates with scholars based in United States, China and Taiwan. Ming–Ting Sun's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Ming–Ting Sun

183 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ming–Ting Sun United States	35	3.2k	2.1k	520	325	249	185	4.1k
Shao‐Yi Chien Taiwan	29	3.1k 1.0×	1.3k 0.6×	307 0.6×	365 1.1×	202 0.8×	268	4.0k
A.M. Kondoz United Kingdom	25	1.8k 0.5×	1.4k 0.7×	395 0.8×	359 1.1×	371 1.5×	254	2.8k
Ja‐Ling Wu Taiwan	30	3.2k 1.0×	923 0.4×	514 1.0×	252 0.8×	241 1.0×	279	3.9k
Yap‐Peng Tan Singapore	40	4.7k 1.4×	1.2k 0.6×	981 1.9×	627 1.9×	218 0.9×	223	5.4k
Ebroul Izquierdo United Kingdom	25	2.0k 0.6×	713 0.3×	345 0.7×	202 0.6×	252 1.0×	320	2.7k
Zongming Guo China	35	4.1k 1.3×	906 0.4×	289 0.6×	1.0k 3.1×	455 1.8×	196	4.9k
Anthony Vetro United States	35	4.4k 1.3×	3.1k 1.5×	193 0.4×	279 0.9×	433 1.7×	204	5.1k
Yan Lu China	25	2.1k 0.6×	689 0.3×	763 1.5×	198 0.6×	144 0.6×	135	2.8k
Andrew Beng Jin Teoh South Korea	36	4.1k 1.3×	4.5k 2.2×	565 1.1×	244 0.8×	332 1.3×	288	6.2k
Ishwar K. Sethi United States	26	2.0k 0.6×	813 0.4×	862 1.7×	237 0.7×	102 0.4×	140	2.8k

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 of co-authors of Ming–Ting Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ming–Ting Sun. A scholar is included among the top collaborators of Ming–Ting Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming–Ting Sun. Ming–Ting Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Dianqi, Yizhe Zhang, Hao Peng, et al.. (2021). Contextualized Perturbation for Textual Adversarial Attack. 5053–5069. 107 indexed citations

Lin, Kevin, Lijuan Wang, Kun Luo, et al.. (2020). Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 1066–1078. 50 indexed citations

Lin, Kevin, Lijuan Wang, Kun Luo, et al.. (2019). Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation.. arXiv (Cornell University). 3 indexed citations

Chen, Haoming, et al.. (2015). Capture-to-display delay measurement for visual communication applications. APSIPA Transactions on Signal and Information Processing. 4(1). 3 indexed citations

Li, Shuai, Ce Zhu, Yanbo Gao, et al.. (2015). Lagrangian Multiplier Adaptation for Rate-Distortion Optimization With Inter-Frame Dependency. IEEE Transactions on Circuits and Systems for Video Technology. 26(1). 117–129. 71 indexed citations

Xie, Jun, et al.. (2014). Single depth image super resolution and denoising via coupled dictionary learning with local constraints and shock filtering. 29 indexed citations

Bui, L.Q., et al.. (2012). An algorithm for radar power line detection with tracking. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 2 indexed citations

Lou, Jian, Shan Liu, Anthony Vetro, & Ming–Ting Sun. (2010). Trick-Play Optimization for H.264 Video Decoding. J. Inf. Hiding Multim. Signal Process.. 1. 132–144. 9 indexed citations

Lin, Weiyao, Ming–Ting Sun, Radha Poovendran, & Zhengyou Zhang. (2009). Group event detection for video surveillance. 2830–2833. 3 indexed citations

10.

Yang, Jar‐Ferr, et al.. (2006). Efficient rate-distortion estimation for H.264/AVC coders. IEEE Transactions on Circuits and Systems for Video Technology. 16(5). 600–611. 56 indexed citations

11.

Yang, Jar‐Ferr, Hsueh‐Ming Hang, Eckehard Steinbach, & Ming–Ting Sun. (2006). Advanced Video Technologies and Applications for H.264/AVC and Beyond. EURASIP Journal on Advances in Signal Processing. 2006(1). 4 indexed citations

12.

Sun, Ming–Ting, et al.. (2004). Fast variable block-size motion estimation algorithm based on merge and slit procedures for H.264/MPEG-4 AVC. III–725. 45 indexed citations

13.

Gática-Pérez, Daniel & Ming–Ting Sun. (2003). Linking objects in videos by importance sampling. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2. 525–528. 4 indexed citations

14.

Su, Yeping, et al.. (2003). Global motion estimation from coarsely sampled motion vector field and the applications. 2. II–628. 11 indexed citations

15.

Lin, Chia‐Wen, Wenhao Wang, Ming–Ting Sun, & Jenq–Neng Hwang. (2002). Implementation of H.323 multipoint video conference systems with personal presence control. 108–109.

16.

Aramvith, Supavadee, et al.. (2002). Rate-control for retransmission-based video transport over wireless channels. 1. 112–116. 1 indexed citations

17.

Xin, Jun, et al.. (2002). Motion Re-estimation for MPEG-2 to MPEG-4 Simple Profile Transcoding. Climate Risk Management. 36. None–None. 11 indexed citations

18.

Hwang, Jenq–Neng, Jeongnam Youn, Sachin Deshpande, & Ming–Ting Sun. (2002). Video browsing for course-on-demand in distance learning. 530–533. 4 indexed citations

19.

Xin, Jun, et al.. (2002). An HDTV-to-SDTV spatial transcoder. IEEE Transactions on Circuits and Systems for Video Technology. 12(11). 998–1008. 20 indexed citations

20.

Sun, Ming–Ting & Shawmin Lei. (1992). A High-speed Entropy Decoder For Hdt~. 26.3.1–26.3.4. 6 indexed citations

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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