Jongmo Sung

403 citations
23 papers · 306 · h-index 9

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Jongmo Sung

20 papers receiving 288 citations

Peers

Jongmo Sung
Comparison fields: 5 of 35
  • Software 86
  • Signal Processing 130
  • Computer Networks and Communications 103
  • Computer Vision and Pattern Recognition 79
  • Artificial Intelligence 69
Replace Mahmoud Kalash with:
Mahmoud Kalash Canada
Ramesh Bhakthavatchalu India
Banu Günel United Kingdom
Celso B. Carvalho Brazil
Reid Gershbein United States
Junae Kim Australia
Heping Song China
Jongmo Sung relative to Mahmoud Kalash Canada Mahmoud Kalash's profile →
Citations per field
00.5×1.5×2×2.4×
Mahmoud Kalash · 1×
Citations per year

Countries citing papers authored by Jongmo Sung

Since Specialization
Citations

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

Fields of papers citing papers by Jongmo Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jongmo Sung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongmo Sung Line = papers co-authored together Jongmo Sung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002118
2 201933
3 202024
4 202122
5 202015
6 200613
7 200611
8 200711
9 201510
10 20218
11 20117
12 20227
13 20067
14
EPC Sensor Network for RFID and USN Integrated Infrastructure
20074
15 20234
16 20224
17 20233
18 20162
19
UPnP Sensor Network Architecture and Context Aware Services
20052
20 20241

About Jongmo Sung

Jongmo Sung is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications and Artificial Intelligence, having authored 23 papers that have together received 306 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Advanced Data Compression Techniques (6 papers), Speech Recognition and Synthesis (5 papers), Image and Signal Denoising Methods (4 papers), Molecular Communication and Nanonetworks (4 papers), Wireless Body Area Networks (4 papers), Advanced Adaptive Filtering Techniques (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Software (86 citations), Signal Processing (130 citations), Computer Networks and Communications (103 citations), Computer Vision and Pattern Recognition (79 citations) and Artificial Intelligence (69 citations). Jongmo Sung has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Seungkwon Beack, Philip John Koopman, Daniel P. Siewiorek, Minje Kim, Kai Zhen, Mi Suk Lee, Young-Cheol Park, Jung‐Hwan Hwang, Jung Hwan Hwang and Daeyoung Kim. Their work appears in journals such as ETRI Journal, IEEE Signal Processing Letters, IEEE Antennas and Wireless Propagation Letters, IEEE/ACM Transactions on Audio Speech and Language Processing and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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