Jaejin Cho
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Speech and Audio Processing 8
- Genetics 10
- Mesenchymal stem cell research 10
- Co-authors
- Shinji WatanabeNajim DehakTakaaki HoriRaghavendra PappagariLaureano Moro-VelázquezTae‐Joon ChoJesús VillalbaGene Lee
- Journals
- Magnetic Resonance in Medicine (9 papers)Xenotransplantation (4 papers)Molecules and Cells (2 papers)Journal of Cellular Physiology (2 papers)Toxicological Research (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaejin Cho
71 papers receiving 992 citations
Peers
Comparison fields: 5 of 120
- Signal Processing 177
- Genetics 126
- Hepatology 72
- Artificial Intelligence 263
- Experimental and Cognitive Psychology 77
Countries citing papers authored by Jaejin Cho
This map shows the geographic impact of Jaejin Cho'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 Jaejin Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaejin Cho more than expected).
Fields of papers citing papers by Jaejin Cho
This network shows the impact of papers produced by Jaejin Cho. 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 Jaejin Cho. The network helps show where Jaejin Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaejin Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 37 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 26 | |
| 14 | 2018 | 61 | |
| 15 | 2011 | 54 | |
| 16 | Rolling Shutter Distortion Correction for Stop Motion Picture | 2010 | 0 |
| 17 | 2007 | 5 | |
| 18 | Hormonal effects of several chemicals in recombinant yeast, MCF-7 cells and uterotrophic assays in mice | 2000 | 10 |
| 19 | Antigenicity test of cis-Malonato[(4R,5R)-4,5-bis(aminomethyl)-2-isopropyl-1,3-dioxolane]platinum(II)(SKI 2053R) in Guinea Pigs and Mice | 1992 | 2 |
| 20 | Subacute toxicity of cis-Malonato[(4R,5R)-4,5-bis(aminomethyl)-2-isopropyl-1,3-dioxolane]platinum(II)(SKI 2053R) in Beagle Dogs | 1992 | 7 |
About Jaejin Cho
Jaejin Cho is a scholar working on Signal Processing, Genetics, Radiology, Nuclear Medicine and Imaging, Structural Biology and Hepatology, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (18 papers), Speech Recognition and Synthesis (13 papers), Mesenchymal stem cell research (10 papers), Speech and Audio Processing (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Atomic and Subatomic Physics Research (7 papers), Medical Imaging Techniques and Applications (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (177 citations), Genetics (126 citations), Hepatology (72 citations), Artificial Intelligence (263 citations) and Experimental and Cognitive Psychology (77 citations). Jaejin Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Shinji Watanabe, Najim Dehak, Takaaki Hori, Raghavendra Pappagari, Laureano Moro-Velázquez, Tae‐Joon Cho, Jesús Villalba, Gene Lee, Dong‐Sup Lee and Murali Karthick Baskar. Their work appears in journals such as Magnetic Resonance in Medicine, Xenotransplantation, Molecules and Cells, Journal of Cellular Physiology and Toxicological Research.
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.