Yu‐Chuan Chang
About
In The Last Decade
Yu‐Chuan Chang
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 593
- Management Science and Operations Research 403
- Materials Chemistry 400
- Renewable Energy, Sustainability and the Environment 316
- Electrical and Electronic Engineering 256
Countries citing papers authored by Yu‐Chuan Chang
This map shows the geographic impact of Yu‐Chuan Chang'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 Yu‐Chuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chuan Chang more than expected).
Fields of papers citing papers by Yu‐Chuan Chang
This network shows the impact of papers produced by Yu‐Chuan Chang. 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 Yu‐Chuan Chang. The network helps show where Yu‐Chuan Chang may publish in the future.
Co-authorship network of co-authors of Yu‐Chuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chuan Chang. A scholar is included among the top collaborators of Yu‐Chuan Chang 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 Yu‐Chuan Chang. Yu‐Chuan Chang 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 266 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | A new query reweighting method based on genetic algorithms | 1 |
| 19 | A New Method for Query Reweighting for Document Retrieval Based on Neural Networks | 2 |
| 20 | 16 |
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.