Hyunchul Jang
- Complementary and alternative medicine top 5%
- Molecular Biology
- Pharmacology
- Dermatology top 10%
- Artificial Intelligence
- Co-authors
- Sang‐Kyun KimAnna KimHi‐Joon ParkJeong-Ju LeeJoonho LimKyu-Chul LeeIn‐Seon LeeSeonhee Park
- Topics
- Traditional Chinese Medicine Studies (13 papers)Biomedical Text Mining and Ontologies (10 papers)Semantic Web and Ontologies (7 papers)
- Partner nations
- South Korea
In The Last Decade
Hyunchul Jang
31 papers receiving 297 citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 120
- Molecular Biology 117
- Pharmacology 71
- Dermatology 40
- Artificial Intelligence 39
Countries citing papers authored by Hyunchul Jang
This map shows the geographic impact of Hyunchul Jang'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 Hyunchul Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunchul Jang more than expected).
Fields of papers citing papers by Hyunchul Jang
This network shows the impact of papers produced by Hyunchul Jang. 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 Hyunchul Jang. The network helps show where Hyunchul Jang may publish in the future.
Co-authorship network of co-authors of Hyunchul Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyunchul Jang. A scholar is included among the top collaborators of Hyunchul Jang 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 Hyunchul Jang. Hyunchul Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | Study on Weak Children Information Collection Using Personal Health Record (PHR) | 2 |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | A Literature Review of the East-West Medical Combined Treatment | 4 |
| 12 | An Online Terminology Dictionary of Traditional Korean Medicine | 1 |
| 13 | Mapping Korean Medicinal Material Concepts to UMLS | 7 |
| 14 | 3 | |
| 15 | The Review on the Traditional Medicine Concepts in the UMLS | 1 |
| 16 | Research Trend Analysis of Traditional Korean Medicine Supported by the Government - on the Research Reports from 2002 to 2007 Year - | 0 |
| 17 | Reasoning and Learning Methods for Diagnosis in Oriental Medicine | 1 |
| 18 | A Study on Reasoning based on Herb and Formula Ontologies | 3 |
| 19 | Analysis of Studies on Combined Medication of the Oriental and the Western Medicines | 1 |
| 20 | 2 |
About Hyunchul Jang
Hyunchul Jang is a scholar working on Complementary and alternative medicine, Immunology and Allergy and Dermatology, having authored 42 papers that have together received 326 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Complementary and alternative medicine (120 citations), Dermatology (40 citations) and Pharmacology (71 citations). Hyunchul Jang has collaborated with scholars based in South Korea. Frequent co-authors include Sang‐Kyun Kim, Anna Kim, Hi‐Joon Park, Jeong-Ju Lee, Joonho Lim, Kyu-Chul Lee, In‐Seon Lee, Seonhee Park, Younbyoung Chae and Mi‐Young Song. Their work appears in journals such as Bioinformatics, Scientific Reports and Evidence-based Complementary and Alternative Medicine.
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.