Godwin Shen

407 total citations
13 papers, 289 citations indexed

About

Godwin Shen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Godwin Shen has authored 13 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 5 papers in Computational Mechanics. Recurrent topics in Godwin Shen's work include Advanced Data Compression Techniques (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Sparse and Compressive Sensing Techniques (4 papers). Godwin Shen is often cited by papers focused on Advanced Data Compression Techniques (9 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Sparse and Compressive Sensing Techniques (4 papers). Godwin Shen collaborates with scholars based in United States and South Korea. Godwin Shen's co-authors include Antonio Ortega, Sunil K. Narang, Wooshik Kim, Marco F. Duarte, Richard G. Baraniuk, Sundeep Pattem, Bhaskar Krishnamachari, Sam Dolinar, Aaron Kiely and Hua Xie and has published in prestigious journals such as IEEE Transactions on Signal Processing, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and RECERCAT (Consorci de Serveis Universitaris de Catalunya).

In The Last Decade

Godwin Shen

12 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Godwin Shen United States	11	155	97	83	78	56	13	289
Vassilis Kalofolias Switzerland	5	72 0.5×	18 0.2×	25 0.3×	113 1.4×	63 1.1×	6	207
Mehrdad Khani Finland	5	92 0.6×	102 1.1×	49 0.6×	129 1.7×	12 0.2×	6	340
Roberto Viola Spain	9	77 0.5×	337 3.5×	46 0.6×	53 0.7×	29 0.5×	38	455
Paul Tune Australia	12	14 0.1×	254 2.6×	38 0.5×	115 1.5×	57 1.0×	27	331
Kwok-Tung Lo Hong Kong	9	349 2.3×	20 0.2×	119 1.4×	65 0.8×	6 0.1×	28	396
Ayaz Hassan Moon India	8	122 0.8×	101 1.0×	24 0.3×	55 0.7×	4 0.1×	23	261
Phil Chou United States	8	83 0.5×	212 2.2×	131 1.6×	37 0.5×	42 0.8×	13	365
Wenbin Guo China	8	22 0.1×	69 0.7×	49 0.6×	32 0.4×	47 0.8×	34	312

Countries citing papers authored by Godwin Shen

Since Specialization

Citations

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

Fields of papers citing papers by Godwin Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Godwin Shen. 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 Godwin Shen. The network helps show where Godwin Shen may publish in the future.

Co-authorship network of co-authors of Godwin Shen

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

All Works

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13 of 13 papers shown

Shen, Godwin. (2015). Lifting transforms on graphs: theory and applications. University of Southern California Digital Library.

Duarte, Marco F., Godwin Shen, Antonio Ortega, & Richard G. Baraniuk. (2011). Signal compression in wireless sensor networks. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1958). 118–135. 27 indexed citations

Narang, Sunil K., Godwin Shen, & Antonio Ortega. (2010). Unidirectional graph-based wavelet transforms for efficient data gathering in sensor networks. 2902–2905. 26 indexed citations

Shen, Godwin & Antonio Ortega. (2010). Transform-Based Distributed Data Gathering. IEEE Transactions on Signal Processing. 58(7). 3802–3815. 40 indexed citations

Shen, Godwin, et al.. (2010). Edge-aware intra prediction for depth-map coding. 3393–3396. 43 indexed citations

Shen, Godwin, Sunil K. Narang, & Antonio Ortega. (2009). Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks. 2225–2228. 17 indexed citations

Shen, Godwin, Sundeep Pattem, & Antonio Ortega. (2009). Energy-efficient graph-based wavelets for distributed coding in Wireless Sensor Networks. 2253–2256. 13 indexed citations

Shen, Godwin, et al.. (2009). Edge-preserving depth-map coding using graph-based wavelets. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 578–582. 29 indexed citations

Shen, Godwin & Antonio Ortega. (2009). Tree-based wavelets for image coding: Orthogonalization and tree selection. 1–4. 14 indexed citations

10.

Shen, Godwin & Antonio Ortega. (2008). Joint Routing and 2D Transform Optimization for Irregular Sensor Network Grids Using Wavelet Lifting. 2. 183–194. 16 indexed citations

11.

Shen, Godwin, Yeonho Lee, Sundeep Pattem, et al.. (2008). Novel distributed wavelet transforms and routing algorithms for efficient data gathering in sensor webs. 5 indexed citations

12.

Shen, Godwin & Antonio Ortega. (2008). Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2. 2513–2516. 49 indexed citations

13.

Shen, Godwin & Antonio Ortega. (2008). Comopact image representation using wavelet lifting along arbitrary trees. 2808–2811. 10 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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