Changsung Kang
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Management Science and Operations Research
- Topics
- Web Data Mining and Analysis (10 papers)Information Retrieval and Search Behavior (8 papers)Text and Document Classification Technologies (5 papers)
- Journals
- NeurocomputingIEEE Transactions on Knowledge and Data EngineeringJournal of Machine Learning Research
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Changsung Kang
14 papers receiving 216 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 170
- Information Systems 125
- Computer Vision and Pattern Recognition 45
- Signal Processing 28
- Management Science and Operations Research 26
Countries citing papers authored by Changsung Kang
This map shows the geographic impact of Changsung Kang'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 Changsung Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changsung Kang more than expected).
Fields of papers citing papers by Changsung Kang
This network shows the impact of papers produced by Changsung Kang. 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 Changsung Kang. The network helps show where Changsung Kang may publish in the future.
Co-authorship network of co-authors of Changsung Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Changsung Kang. A scholar is included among the top collaborators of Changsung Kang 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 Changsung Kang. Changsung Kang 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 | 5 | |
| 3 | 77 | |
| 4 | 34 | |
| 5 | 39 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | Markov Properties for Linear Causal Models with Correlated Errors | 10 |
| 14 | 4 | |
| 15 | A Hybrid Generative/Discriminative Bayesian Classifier. | 11 |
About Changsung Kang
Changsung Kang is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 15 papers that have together received 235 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (10 papers), Information Retrieval and Search Behavior (8 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Information Systems (125 citations), Artificial Intelligence (170 citations) and Signal Processing (28 citations). Changsung Kang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yi Chang, Dawei Yin, Jiliang Tang, Hua Ouyang, Yuening Hu, Jin Tian, Dawei Yin, Chikashi Nobata, Mianwei Zhou and Jianhui Chen. Their work appears in journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Journal of Machine Learning 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.