San‐Yih Hwang
About
In The Last Decade
San‐Yih Hwang
62 papers receiving 888 citations
Peers
Comparison fields: 5 of 69
- Information Systems 672
- Computer Networks and Communications 401
- Artificial Intelligence 365
- Management Information Systems 217
- Sociology and Political Science 111
Countries citing papers authored by San‐Yih Hwang
This map shows the geographic impact of San‐Yih Hwang'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 San‐Yih Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San‐Yih Hwang more than expected).
Fields of papers citing papers by San‐Yih Hwang
This network shows the impact of papers produced by San‐Yih Hwang. 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 San‐Yih Hwang. The network helps show where San‐Yih Hwang may publish in the future.
Co-authorship network of co-authors of San‐Yih Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of San‐Yih Hwang. A scholar is included among the top collaborators of San‐Yih Hwang 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 San‐Yih Hwang. San‐Yih Hwang 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 | Forecasting Company Revenue Trend Using Financial News | 1 |
| 4 | Incorporating Comment Text into Success Prediction of Crowdfunding Campaigns | 12 |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | Combining Coauthorship Network and Content for Literature Recommendation | 1 |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 133 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 8 | |
| 19 | Asynchronous Transaction Commitment in Federated Database Systems | 1 |
| 20 | 3 |
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.