Sang‐goo Lee
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Co-authors
- Taeuk KimKang Min YooSungchan ParkMinsuk KahngHanjoon KimSangKeun LeeJunho ShimYoungki Park
- Topics
- Recommender Systems and Techniques (24 papers)Topic Modeling (19 papers)Natural Language Processing Techniques (15 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Sang‐goo Lee
63 papers receiving 812 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 490
- Information Systems 379
- Computer Vision and Pattern Recognition 185
- Computer Networks and Communications 170
- Signal Processing 74
Countries citing papers authored by Sang‐goo Lee
This map shows the geographic impact of Sang‐goo Lee'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 Sang‐goo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐goo Lee more than expected).
Fields of papers citing papers by Sang‐goo Lee
This network shows the impact of papers produced by Sang‐goo Lee. 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 Sang‐goo Lee. The network helps show where Sang‐goo Lee may publish in the future.
Co-authorship network of co-authors of Sang‐goo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐goo Lee. A scholar is included among the top collaborators of Sang‐goo Lee 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 Sang‐goo Lee. Sang‐goo Lee 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 | 2 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 30 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | Multilingual Zero-shot Constituency Parsing. | 1 |
| 10 | Unsupervised Learning of Task-Specific Tree Structures with Tree-LSTMs | 9 |
| 11 | 6 | |
| 12 | 8 | |
| 13 | Semantic Search and Recommendation of e-Catalog Documents through Concept Network | 1 |
| 14 | Modified Na$\ddot{i}$ve Bayes Classifier for Categorizing Questions in Question-Answering Community | 0 |
| 15 | Feature-based Product Review Summarization Utilizing User Score | 11 |
| 16 | A Sentiment Classification Method Using Context Information in Product Review Summarization | 4 |
| 17 | Developing a Cross Platform Server Monitoring Application | 1 |
| 18 | A Practical Ontology for Product Information Management. | 0 |
| 19 | An Effective Flash Memory Manager for Reliable Flash Memory Space Management | 47 |
| 20 | QVI: Query-based virtual index for distributed information retrieval. | 1 |
About Sang‐goo Lee
Sang‐goo Lee is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 69 papers that have together received 857 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (24 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Information Systems (379 citations), Artificial Intelligence (490 citations) and Computer Vision and Pattern Recognition (185 citations). Sang‐goo Lee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Taeuk Kim, Kang Min Yoo, Sungchan Park, Minsuk Kahng, Hanjoon Kim, SangKeun Lee, Junho Shim, Youngki Park, Woo-Sung Jung and Sangkeun Lee. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.
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.