Heung Seok Chae
- Information Systems top 2%
- Software top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 10%
- Co-authors
- Yong Rae KwonKeunhyuk YeomMikyeong MoonJung Ho BaeDoo‐Hwan BaeSuk‐Hee LeeTae‐Yeon KimJoon Sang Lee
- Topics
- Software Engineering Research (23 papers)Software Reliability and Analysis Research (17 papers)Advanced Software Engineering Methodologies (12 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Heung Seok Chae
45 papers receiving 445 citations
Peers
Comparison fields: 5 of 45
- Information Systems 428
- Software 255
- Artificial Intelligence 221
- Computer Networks and Communications 124
- Computer Science Applications 31
Countries citing papers authored by Heung Seok Chae
This map shows the geographic impact of Heung Seok Chae'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 Heung Seok Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heung Seok Chae more than expected).
Fields of papers citing papers by Heung Seok Chae
This network shows the impact of papers produced by Heung Seok Chae. 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 Heung Seok Chae. The network helps show where Heung Seok Chae may publish in the future.
Co-authorship network of co-authors of Heung Seok Chae
This figure shows the co-authorship network connecting the top 25 collaborators of Heung Seok Chae. A scholar is included among the top collaborators of Heung Seok Chae 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 Heung Seok Chae. Heung Seok Chae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 48 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 6 | |
| 9 | A Prediction Model for Software Change using Object-oriented Metrics | 1 |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | Load balancing for RFID middlewares based on agent technology | 1 |
| 16 | 5 | |
| 17 | 32 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | A Cohesion Measure for Classes in Object-Oriented SystemsYong Rae Kwon | 9 |
About Heung Seok Chae
Heung Seok Chae is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 46 papers that have together received 502 indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (17 papers) and Advanced Software Engineering Methodologies (12 papers). The work is most often cited by research in Software (255 citations), Information Systems (428 citations) and Artificial Intelligence (221 citations). Heung Seok Chae has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yong Rae Kwon, Keunhyuk Yeom, Mikyeong Moon, Jung Ho Bae, Doo‐Hwan Bae, Suk‐Hee Lee, Tae‐Yeon Kim, Joon Sang Lee, Jae‐Seung Lee and Won‐Young Kim. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and Applied Sciences.
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.