Haseung Chung
- Automotive Engineering top 2%
- Mechanical Engineering top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Suman DasSang Won LeeChenhui ShaoYuquan MengYuhang YangSuman Kalyan DasP. Vijay KumarPatrick Kwon
- Topics
- Additive Manufacturing and 3D Printing Technologies (22 papers)Additive Manufacturing Materials and Processes (13 papers)Manufacturing Process and Optimization (11 papers)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Haseung Chung
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Automotive Engineering 435
- Mechanical Engineering 425
- Biomedical Engineering 340
- Electrical and Electronic Engineering 236
- Industrial and Manufacturing Engineering 197
Countries citing papers authored by Haseung Chung
This map shows the geographic impact of Haseung Chung'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 Haseung Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haseung Chung more than expected).
Fields of papers citing papers by Haseung Chung
This network shows the impact of papers produced by Haseung Chung. 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 Haseung Chung. The network helps show where Haseung Chung may publish in the future.
Co-authorship network of co-authors of Haseung Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Haseung Chung. A scholar is included among the top collaborators of Haseung Chung 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 Haseung Chung. Haseung Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 56 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 80 | |
| 19 | Processing and properties of functionally graded polymer composites produced by selective laser sintering. | 8 |
| 20 | 2 |
About Haseung Chung
Haseung Chung is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (22 papers), Additive Manufacturing Materials and Processes (13 papers) and Manufacturing Process and Optimization (11 papers). The work is most often cited by research in Automotive Engineering (435 citations), Industrial and Manufacturing Engineering (197 citations) and Mechanical Engineering (425 citations). Haseung Chung has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Suman Das, Sang Won Lee, Chenhui Shao, Yuquan Meng, Yuhang Yang, Suman Kalyan Das, P. Vijay Kumar, Patrick Kwon, Dae Hoon Kim and Jung Soo Nam. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and IEEE Transactions on Information Theory.
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.