Junseong Bang
Impact in
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Advanced Data Processing Techniques
Papers in
-
- Speech and dialogue systems 2
- Natural Language Processing Techniques 2
- Co-authors
- Pangun Park (5 shared papers)Piergiuseppe Di Marco (2 shared papers)Jinsu Lee (1 shared paper)Yong-Tae Lee (3 shared papers)Hyun-Ho Choi (1 shared paper)Kisong Lee (1 shared paper)Byung‐Tak Lee (3 shared papers)Youngho Lee (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)ETRI Journal (1 paper)Knowledge-Based Systems (1 paper)Applied Sciences (1 paper)Computer Speech & Language (1 paper)
- Partner nations
- South KoreaItaly
In The Last Decade
Junseong Bang
23 papers receiving 291 citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 113
- Health Informatics 6
- Human-Computer Interaction 15
- Computer Vision and Pattern Recognition 53
- Industrial and Manufacturing Engineering 25
Countries citing papers authored by Junseong Bang
This map shows the geographic impact of Junseong Bang'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 Junseong Bang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junseong Bang more than expected).
Fields of papers citing papers by Junseong Bang
This network shows the impact of papers produced by Junseong Bang. 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 Junseong Bang. The network helps show where Junseong Bang may publish in the future.
Co-authors
The 24 scholars most cited alongside Junseong Bang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2017 | 27 | |
| 3 | 2022 | 16 | |
| 4 | 2019 | 16 | |
| 5 | 2020 | 14 | |
| 6 | 2021 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2016 | 2 |
About Junseong Bang
Junseong Bang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 310 indexed citations. Recurring topics across this work include Diverse Approaches in Healthcare and Education Studies (4 papers), Ethics and Social Impacts of AI (4 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Optical Network Technologies (3 papers), Diverse Topics in Contemporary Research (3 papers), Advanced Photonic Communication Systems (2 papers), Speech and dialogue systems (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (113 citations), Health Informatics (6 citations), Human-Computer Interaction (15 citations), Computer Vision and Pattern Recognition (53 citations) and Industrial and Manufacturing Engineering (25 citations). Junseong Bang has collaborated with scholars based in South Korea and Italy. Frequent co-authors include Pangun Park, Piergiuseppe Di Marco, Jinsu Lee, Yong-Tae Lee, Hyun-Ho Choi, Kisong Lee, Byung‐Tak Lee, Youngho Lee, Youngjun Kim and Seonghyun Kim. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ETRI Journal, Knowledge-Based Systems, Applied Sciences and Computer Speech & Language.
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.