Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A statistical model-based voice activity detection
1999886 citationsNam Soo Kim, Wonyong Sung et al.IEEE Signal Processing Lettersprofile →
Structured Pruning of Deep Convolutional Neural Networks
2017423 citationsSajid Anwar, Kyuyeon Hwang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
Park, Jin-Hwan, et al.. (2018). Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. Neural Information Processing Systems. 31. 10620–10630.22 indexed citations
3.
Sung, Wonyong, et al.. (2017). SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks. Neural Information Processing Systems. 30. 5463–5473.12 indexed citations
4.
Hwang, Kyuyeon & Wonyong Sung. (2016). Sequence to sequence training of CTC-RNNs with partial windowing. International Conference on Machine Learning. 2178–2187.9 indexed citations
Anwar, Sajid & Wonyong Sung. (2009). Digital Signal Processing Filtering with GPU. Seoul National University Open Repository (Seoul National University). 985–986.5 indexed citations
Sung, Wonyong, et al.. (2000). Comparison of Effective Constituents of Korean Paeony Roots(Paeoniae radix) Cultivated in Different Regions. Korean Journal of Food Preservation. 7(3). 297–302.1 indexed citations
17.
Kim, Nam Soo, et al.. (1999). A statistical model-based voice activity detection. IEEE Signal Processing Letters. 6(1). 1–3.886 indexed citations breakdown →
18.
Sung, Wonyong & Soonhoi Ha. (1998). Efficient and Flexible Cosimulation Environment for DSP Applications. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(12). 2605–2611.19 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.