Liang‐Gee Chen

10.4k total citations
471 papers, 7.6k citations indexed

About

Liang‐Gee Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Liang‐Gee Chen has authored 471 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 379 papers in Computer Vision and Pattern Recognition, 282 papers in Signal Processing and 81 papers in Electrical and Electronic Engineering. Recurrent topics in Liang‐Gee Chen's work include Video Coding and Compression Technologies (223 papers), Advanced Data Compression Techniques (203 papers) and Advanced Vision and Imaging (177 papers). Liang‐Gee Chen is often cited by papers focused on Video Coding and Compression Technologies (223 papers), Advanced Data Compression Techniques (203 papers) and Advanced Vision and Imaging (177 papers). Liang‐Gee Chen collaborates with scholars based in Taiwan, United States and China. Liang‐Gee Chen's co-authors include Yu‐Wen Huang, Shao‐Yi Chien, Tung-Chien Chen, Shyh-Yih Ma, Tu-Chih Wang, Po-Chih Tseng, Ching-Yeh Chen, Bing-Yu Hsieh, Chao-Tsung Huang and Chung-Jr Lian and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

In The Last Decade

Liang‐Gee Chen

441 papers receiving 7.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang‐Gee Chen Taiwan	45	6.4k	4.9k	936	582	399	471	7.6k
Shao‐Yi Chien Taiwan	29	3.1k 0.5×	1.3k 0.3×	413 0.4×	365 0.6×	154 0.4×	268	4.0k
Thomas Wiegand Germany	14	7.2k 1.1×	5.9k 1.2×	341 0.4×	451 0.8×	75 0.2×	26	7.8k
H.S. Malvar United States	30	3.7k 0.6×	2.6k 0.5×	616 0.7×	285 0.5×	110 0.3×	101	4.9k
N. Jayant United States	26	2.9k 0.4×	2.0k 0.4×	759 0.8×	175 0.3×	41 0.1×	135	4.0k
Gene Cheung Japan	31	2.2k 0.3×	1.1k 0.2×	442 0.5×	235 0.4×	60 0.2×	259	3.5k
Feng Wu China	40	4.7k 0.7×	2.3k 0.5×	530 0.6×	887 1.5×	22 0.1×	240	5.5k
Debin Zhao China	43	6.6k 1.0×	2.4k 0.5×	546 0.6×	1.4k 2.4×	20 0.1×	349	8.0k
Guangming Lu China	37	3.1k 0.5×	1.8k 0.4×	239 0.3×	660 1.1×	147 0.4×	198	5.4k
Athanassios Skodras Greece	22	2.8k 0.4×	1.1k 0.2×	238 0.3×	241 0.4×	85 0.2×	111	3.5k
Stefano Tubaro Italy	38	4.0k 0.6×	1.8k 0.4×	715 0.8×	425 0.7×	15 0.0×	403	5.8k

Countries citing papers authored by Liang‐Gee Chen

Since Specialization

Citations

This map shows the geographic impact of Liang‐Gee 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 Liang‐Gee Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang‐Gee Chen more than expected).

Fields of papers citing papers by Liang‐Gee Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang‐Gee 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 Liang‐Gee Chen. The network helps show where Liang‐Gee Chen may publish in the future.

Co-authorship network of co-authors of Liang‐Gee Chen

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

All Works

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20 of 20 papers shown

Wang, Yu-Chiang Frank, et al.. (2018). Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies.. British Machine Vision Conference. 124. 10 indexed citations

Huang, Chao-Tsung, et al.. (2016). Fast Physically Correct Refocusing for Sparse Light Fields Using Block-Based Multi-Rate View Interpolation. IEEE Transactions on Image Processing. 26(2). 603–618. 4 indexed citations

CHANG, H, et al.. (2013). An Efficient Architecture of Binary Motion Estimation for MPEG-4 Shape Coding.

Chen, Tung-Chien, et al.. (2012). Channel selection for epilepsy seizure prediction method based on machine learning. PubMed. 2012. 5162–5165. 32 indexed citations

Li, Chung‐Te, et al.. (2012). Brain-Inspired Framework for Fusion of Multiple Depth Cues. IEEE Transactions on Circuits and Systems for Video Technology. 23(7). 1137–1149. 9 indexed citations

Chen, Tung-Chien, et al.. (2011). On-line empirical mode decomposition biomedical microprocessor for Hilbert Huang transform. 420–423. 23 indexed citations

Cheng, Chao‐Chung, Chung‐Te Li, & Liang‐Gee Chen. (2010). 51.3: An Ultra‐Low‐Cost 2‐D/3‐D Video‐Conversion System. SID Symposium Digest of Technical Papers. 41(1). 766–769. 8 indexed citations

Chen, Tung-Chien, et al.. (2007). Fast Algorithm and Architecture Design of Low-Power Integer Motion Estimation for H.264/AVC. IEEE Transactions on Circuits and Systems. 568–577. 1 indexed citations

Chen, Yi‐Hau, et al.. (2007). Bandwidth-Efficient Encoder Framework for H.264/AVC Scalable Extension. 401–406. 1 indexed citations

10.

Huang, Chao-Tsung, Po-Chih Tseng, & Liang‐Gee Chen. (2005). Generic RAM-based architectures for two-dimensional discrete wavelet transform with line-based method. IEEE Transactions on Circuits and Systems. 910–920. 2 indexed citations

11.

Chuang, T. J., Yi‐Hau Chen, Chen‐Han Tsai, & Liang‐Gee Chen. (2005). ANALYSIS AND ARCHITECTURE DESIGN FOR MULTI-TRANSFORM FOR H.264/AVC HIGH PROFILE. 대한전자공학회 ISOCC. 107–110. 1 indexed citations

12.

Tsai, Chen‐Han, et al.. (2005). Analysis and Architecture Design for Multi-Symbol Arithmetic Encoder in H.264/AVC. 대한전자공학회 ISOCC. 60–63. 10 indexed citations

13.

Fang, Hung-Chi, Yu Yu, Tu-Chih Wang, Chung-Jr Lian, & Liang‐Gee Chen. (2005). Parallel embedded block coding architecture for JPEG 2000. IEEE Transactions on Circuits and Systems for Video Technology. 15(9). 1086–1097. 31 indexed citations

14.

Tseng, Po-Chih & Liang‐Gee Chen. (2004). Hardware architecture design for visual processing: present and future. NTUR (臺灣機構典藏). 6–9.

15.

Huang, Chao-Tsung, Po-Chih Tseng, & Liang‐Gee Chen. (2004). Memory analysis and architecture for two-dimensional discrete wavelet transform. NTUR (臺灣機構典藏). 5. V–13. 18 indexed citations

16.

Chen, Liang‐Gee, et al.. (2002). Parallel architectures of 3-step search block-matching algorithm for video coding. NTUR (臺灣機構典藏). 3. 209–212. 5 indexed citations

17.

Chen, Liang‐Gee, et al.. (2002). Object-oriented video coding algorithm for very low bit-rate system. NTUR (臺灣機構典藏). 4. 614–618. 3 indexed citations

18.

Chien, Shao‐Yi, Yu‐Wen Huang, Shyh-Yih Ma, & Liang‐Gee Chen. (2002). A real-time practical video segmentation algorithm for MPEG-4 camera systems. 142–143. 1 indexed citations

19.

Chen, Chien‐Yu, et al.. (2001). A Programmable Parallel VLSI Architecture for 2-D Discrete Wavelet Transform. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 28(3). 151–163. 9 indexed citations

20.

Chen, Liang‐Gee, et al.. (1996). VLSI implementation of a selective median filter. IEEE Transactions on Consumer Electronics. 42(1). 33–42. 25 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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