Taewook Kim
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Finance top 10%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Topics
- Financial Markets and Investment Strategies (2 papers)Machine Learning in Bioinformatics (2 papers)Stock Market Forecasting Methods (2 papers)
- Partner nations
- South KoreaHong KongUnited Kingdom
In The Last Decade
Taewook Kim
6 papers receiving 262 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Management Science and Operations Research 189
- Electrical and Electronic Engineering 90
- Finance 68
- Economics and Econometrics 68
- Artificial Intelligence 43
Countries citing papers authored by Taewook Kim
This map shows the geographic impact of Taewook Kim'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 Taewook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taewook Kim more than expected).
Fields of papers citing papers by Taewook Kim
This network shows the impact of papers produced by Taewook Kim. 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 Taewook Kim. The network helps show where Taewook Kim may publish in the future.
Co-authorship network of co-authors of Taewook Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Taewook Kim. A scholar is included among the top collaborators of Taewook Kim 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 Taewook Kim. Taewook Kim 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 | Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same databreakdown → | 223 |
| 3 | 22 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | + Prediction of Protein Function from Protein-Protein Interaction Network by Weighted Graph Mining | 1 |
| 8 | 0 |
About Taewook Kim
Taewook Kim is a scholar working on Finance, Management Science and Operations Research and Management Information Systems, having authored 8 papers that have together received 273 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (2 papers), Machine Learning in Bioinformatics (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (189 citations), Finance (68 citations) and Signal Processing (28 citations). Taewook Kim has collaborated with scholars based in South Korea, Hong Kong and United Kingdom. Frequent co-authors include Ha Young Kim, Ha Young Kim, Ziming Wu, Xiaojuan Ma, Quan Li, Caroline Jay, Meijing Li, Keun Ho Ryu, Ho Sun Shon and Jungpil Shin. Their work appears in journals such as PLoS ONE, Complexity and Proceedings of the ACM on Human-Computer Interaction.
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.