Myunggwon Hwang
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Management Science and Operations Research
- Co-authors
- Pankoo KimHanmin JungChang ChoiJinhyung KimWon-Kyung SungIk‐Soo ShinSa-Kwang SongLuong Vuong Nguyen
- Topics
- Semantic Web and Ontologies (17 papers)Natural Language Processing Techniques (13 papers)Topic Modeling (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
- Partner nations
- South KoreaUnited States
In The Last Decade
Myunggwon Hwang
47 papers receiving 329 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 186
- Information Systems 109
- Computer Vision and Pattern Recognition 68
- Computer Networks and Communications 61
- Management Science and Operations Research 34
Countries citing papers authored by Myunggwon Hwang
This map shows the geographic impact of Myunggwon Hwang'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 Myunggwon Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myunggwon Hwang more than expected).
Fields of papers citing papers by Myunggwon Hwang
This network shows the impact of papers produced by Myunggwon Hwang. 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 Myunggwon Hwang. The network helps show where Myunggwon Hwang may publish in the future.
Co-authorship network of co-authors of Myunggwon Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Myunggwon Hwang. A scholar is included among the top collaborators of Myunggwon Hwang 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 Myunggwon Hwang. Myunggwon Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information | 2 |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | A method for enhancing image retrieval based on annotation using modified WUP similarity in WordNet | 8 |
| 12 | Emerging Agents Discovery Model based on Big Data Analysis for Science & Technology Literature | 1 |
| 13 | 1 | |
| 14 | Semantic Context Extraction from Wikipedia Document. | 1 |
| 15 | 21 | |
| 16 | 36 | |
| 17 | The Study on the Semantic Image Retrieval based on the Personalized Ontology | 5 |
| 18 | 17 | |
| 19 | 6 | |
| 20 | 4 |
About Myunggwon Hwang
Myunggwon Hwang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 370 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (17 papers), Natural Language Processing Techniques (13 papers) and Topic Modeling (10 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Information Systems (109 citations) and Computer Vision and Pattern Recognition (68 citations). Myunggwon Hwang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Pankoo Kim, Hanmin Jung, Chang Choi, Jinhyung Kim, Won-Kyung Sung, Ik‐Soo Shin, Sa-Kwang Song, Luong Vuong Nguyen, Jason J. Jung and Yuna Jeong. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.