Sung-Wen Wang

405 total citations
10 papers, 242 citations indexed

About

Sung-Wen Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sung-Wen Wang has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Sung-Wen Wang's work include Video Coding and Compression Technologies (6 papers), Image and Video Quality Assessment (4 papers) and Advanced Data Compression Techniques (4 papers). Sung-Wen Wang is often cited by papers focused on Video Coding and Compression Technologies (6 papers), Image and Video Quality Assessment (4 papers) and Advanced Data Compression Techniques (4 papers). Sung-Wen Wang collaborates with scholars based in Taiwan and Pakistan. Sung-Wen Wang's co-authors include Ja‐Ling Wu, Yi-Shin Tung, Jun-Cheng Chen, Yi‐Chin Huang, Sy‐Yen Kuo, Ya-Ting Carolyn Yang, Chia‐Ying Li, Chia-Lin Yang and Yating Yang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Consumer Electronics and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Sung-Wen Wang

10 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung-Wen Wang Taiwan	6	171	57	50	28	25	10	242
Luis Pérez-Freire Spain	10	245 1.4×	55 1.0×	57 1.1×	21 0.8×	6 0.2×	19	273
Kou-Hu Tzou United States	10	298 1.7×	62 1.1×	146 2.9×	11 0.4×	29 1.2×	37	351
I. Agi United States	8	146 0.9×	72 1.3×	25 0.5×	9 0.3×	12 0.5×	18	211
Thijs Laarhoven Netherlands	8	119 0.7×	144 2.5×	22 0.4×	31 1.1×	8 0.3×	13	236
Gordon W. Braudaway United States	9	357 2.1×	26 0.5×	34 0.7×	9 0.3×	13 0.5×	21	404
A. Swaminathan United States	7	628 3.7×	34 0.6×	48 1.0×	7 0.3×	106 4.2×	10	676
Davide Cavagnino Italy	11	178 1.0×	54 0.9×	20 0.4×	16 0.6×	17 0.7×	36	249
Yuchen Luo China	4	272 1.6×	92 1.6×	27 0.5×	9 0.3×	8 0.3×	6	305
Eugene T. Lin United States	11	502 2.9×	29 0.5×	91 1.8×	12 0.4×	20 0.8×	19	525

Countries citing papers authored by Sung-Wen Wang

Since Specialization

Citations

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

Fields of papers citing papers by Sung-Wen Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Wen Wang. 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 Sung-Wen Wang. The network helps show where Sung-Wen Wang may publish in the future.

Co-authorship network of co-authors of Sung-Wen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Wen Wang. A scholar is included among the top collaborators of Sung-Wen Wang 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 Sung-Wen Wang. Sung-Wen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Wang, Sung-Wen, et al.. (2008). Memory Efficient Hierarchical Lookup Tables for Mass Arbitrary-Side Growing Huffman Trees Decoding. IEEE Transactions on Circuits and Systems for Video Technology. 18(10). 1335–1346. 5 indexed citations

Wang, Sung-Wen, et al.. (2008). An XQDD-Based Verification Method for Quantum Circuits. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E91-A(2). 584–594. 45 indexed citations

Wang, Sung-Wen, et al.. (2008). A Multi-core Architecture Based Parallel Framework for H.264/AVC Deblocking Filters. Journal of Signal Processing Systems. 57(2). 195–211. 16 indexed citations

Wang, Sung-Wen, et al.. (2007). A Parallel Algorithm for H.264/AVC Deblocking Filter Based on Limited Error Propagation Effect. 5022. 1858–1861. 7 indexed citations

Wang, Sung-Wen, et al.. (2006). An Efficient Memory Construction Scheme for an Arbitrary Side Growing Huffman Table. 5022. 141–144. 3 indexed citations

Tung, Yi-Shin, et al.. (2005). DSP-based multi-format video decoding engine for media adapter applications. 139–140. 4 indexed citations

Huang, Yi‐Chin, Yi-Shin Tung, Jun-Cheng Chen, Sung-Wen Wang, & Ja‐Ling Wu. (2005). An adaptive edge detection based colorization algorithm and its applications. 351–354. 136 indexed citations

Tung, Yi-Shin, et al.. (2005). DSP-based multi-format video decoding engine for media adapter applications. IEEE Transactions on Consumer Electronics. 51(1). 273–280. 12 indexed citations

Wang, Sung-Wen, et al.. (2004). Boundary-energy sensitive visual de-blocking for H.264/AVC coder. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5558. 512–512. 1 indexed citations

10.

Wang, Sung-Wen, Ya-Ting Carolyn Yang, Chia‐Ying Li, Yi-Shin Tung, & Ja‐Ling Wu. (2004). The optimization of H.264/AVC baseline decoder on low-cost TriMedia DSP processor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5558. 524–524. 13 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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