K.-M. Yang

476 total citations
11 papers, 321 citations indexed

About

K.-M. Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, K.-M. Yang has authored 11 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in K.-M. Yang's work include Video Coding and Compression Technologies (9 papers), Advanced Data Compression Techniques (7 papers) and Digital Filter Design and Implementation (3 papers). K.-M. Yang is often cited by papers focused on Video Coding and Compression Technologies (9 papers), Advanced Data Compression Techniques (7 papers) and Digital Filter Design and Implementation (3 papers). K.-M. Yang collaborates with scholars based in United States and Canada. K.-M. Yang's co-authors include M.-T. Sun, Long Wu, Masashi Maruyama, M.L. Liou, Hiroshi Fujiwara, Michael Mills, Lyndia C. Wu, Ming–Ting Sun, Lance Wu and Didier J. LeGall and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and IEEE Transactions on Circuits and Systems.

In The Last Decade

K.-M. Yang

9 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.-M. Yang United States	4	285	278	28	23	22	11	321
Tsu-Ming Liu Taiwan	10	288 1.0×	305 1.1×	40 1.4×	38 1.7×	53 2.4×	34	346
Dajiang Zhou Japan	10	272 1.0×	262 0.9×	15 0.5×	38 1.7×	44 2.0×	30	302
M.J. Garrido Spain	11	237 0.8×	235 0.8×	56 2.0×	37 1.6×	43 2.0×	35	307
Karsten Sühring Germany	5	672 2.4×	667 2.4×	19 0.7×	16 0.7×	35 1.6×	6	712
H.-J. Stolberg Germany	11	134 0.5×	162 0.6×	136 4.9×	99 4.3×	48 2.2×	23	289
Michael Isnardi United States	8	86 0.3×	83 0.3×	14 0.5×	28 1.2×	14 0.6×	18	145
C. Chrysafis United States	8	406 1.4×	253 0.9×	8 0.3×	20 0.9×	11 0.5×	13	425
W. Kwok United States	6	608 2.1×	485 1.7×	4 0.1×	53 2.3×	47 2.1×	12	655
Félix Henry France	7	387 1.4×	357 1.3×	8 0.3×	7 0.3×	14 0.6×	19	413
Catherine Lamy–Bergot France	8	133 0.5×	114 0.4×	6 0.2×	89 3.9×	106 4.8×	30	224

Countries citing papers authored by K.-M. Yang

Since Specialization

Citations

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

Fields of papers citing papers by K.-M. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-M. Yang. 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 K.-M. Yang. The network helps show where K.-M. Yang may publish in the future.

Co-authorship network of co-authors of K.-M. Yang

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

All Works

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11 of 11 papers shown

1.

Yang, K.-M., Lyndia C. Wu, & Michael Mills. (2003). Fractal based image coding scheme using Peano scan. 2301–2304. 13 indexed citations

2.

Yang, K.-M., et al.. (2003). Very high efficiency VLSI chip-pair for full search block matching with fractional precision. International Conference on Acoustics, Speech, and Signal Processing. ii. 2437–2440.

3.

Sun, M.-T. & K.-M. Yang. (2003). A flexible VLSI architecture for full-search block-matching motion-vector estimation. ii. 179–182. 3 indexed citations

4.

Yang, K.-M., et al.. (2002). A flexible motion-vector estimation chip for real-time video codecs. 17.5/1–17.5/4. 1 indexed citations

5.

Yang, K.-M., et al.. (2002). VLSI architecture design of a versatile variable length decoding chip for real-time video codecs. 551–554. 2 indexed citations

6.

Fujiwara, Hiroshi, et al.. (1992). An all-ASIC implementation of a low bit-rate video codec. IEEE Transactions on Circuits and Systems for Video Technology. 2(2). 123–134. 40 indexed citations

7.

Yang, K.-M. & Didier J. LeGall. (1990). Hardware design of a motion video decoder for 1–1.5 Mbps rate applications. Signal Processing Image Communication. 2(2). 117–126. 1 indexed citations

8.

Yang, K.-M., Sharad Singhal, & Didier J. LeGall. (1990). <title>Design of a multifunction video decoder based on a motion-compensated predictive-interpolative coder</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1360. 1530–1539. 1 indexed citations

9.

Yang, K.-M., M.-T. Sun, & Long Wu. (1989). A family of VLSI designs for the motion compensation block-matching algorithm. IEEE Transactions on Circuits and Systems. 36(10). 1317–1325. 247 indexed citations

10.

Yang, K.-M., Lance Wu, & Michael Mills. (1988). FRACTAL BASED IMAGE C ODING S CHEME USING PEANO SCAN. 1 indexed citations

11.

Yang, K.-M., et al.. (1988). VLSI Implementation Of Motion Compensation Full-Search Block-Matching Algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 892–892. 12 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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