Wonyong Sung
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 5%
- Topics
- Parallel Computing and Optimization Techniques (33 papers)Error Correcting Code Techniques (26 papers)Speech Recognition and Synthesis (25 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Signal Processing MagazineIEEE Transactions on Computers
- Partner nations
- South KoreaUnited StatesAustria
In The Last Decade
Wonyong Sung
132 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 1.4k
- Signal Processing 1.1k
- Computer Vision and Pattern Recognition 777
- Computer Networks and Communications 776
- Electrical and Electronic Engineering 660
Countries citing papers authored by Wonyong Sung
This map shows the geographic impact of Wonyong Sung'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 Wonyong Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonyong Sung more than expected).
Fields of papers citing papers by Wonyong Sung
This network shows the impact of papers produced by Wonyong Sung. 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 Wonyong Sung. The network helps show where Wonyong Sung may publish in the future.
Co-authorship network of co-authors of Wonyong Sung
This figure shows the co-authorship network connecting the top 25 collaborators of Wonyong Sung. A scholar is included among the top collaborators of Wonyong Sung 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 Wonyong Sung. Wonyong Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices | 22 |
| 3 | SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks | 12 |
| 4 | Sequence to sequence training of CTC-RNNs with partial windowing | 9 |
| 5 | 132 | |
| 6 | 17 | |
| 7 | Digital Signal Processing Filtering with GPU | 5 |
| 8 | 68 | |
| 9 | 27 | |
| 10 | 135 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | Comparison of Effective Constituents of Korean Paeony Roots(Paeoniae radix) Cultivated in Different Regions | 1 |
| 17 | A statistical model-based voice activity detectionbreakdown → | 886 |
| 18 | Efficient and Flexible Cosimulation Environment for DSP Applications | 19 |
| 19 | 17 | |
| 20 | 10 |
About Wonyong Sung
Wonyong Sung is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 138 papers that have together received 3.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Error Correcting Code Techniques (26 papers) and Speech Recognition and Synthesis (25 papers). The work is most often cited by research in Signal Processing (1.1k citations), Hardware and Architecture (429 citations) and Artificial Intelligence (1.4k citations). Wonyong Sung has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Kyuyeon Hwang, Nam Soo Kim, Sajid Anwar, Donghwan Lee, Junho Cho, Wei Liu, Sungho Shin, Hyojin Choi, Wei Liu and Soonhoi Ha. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and IEEE Transactions on Computers.
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.