Yi‐Jun Chang
About
In The Last Decade
Yi‐Jun Chang
54 papers receiving 449 citations
Peers
Comparison fields: 5 of 40
- Atomic and Molecular Physics, and Optics 219
- Artificial Intelligence 172
- Computational Theory and Mathematics 170
- Computer Networks and Communications 142
- Electrical and Electronic Engineering 83
Countries citing papers authored by Yi‐Jun Chang
This map shows the geographic impact of Yi‐Jun 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 Yi‐Jun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Jun Chang more than expected).
Fields of papers citing papers by Yi‐Jun Chang
This network shows the impact of papers produced by Yi‐Jun 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 Yi‐Jun Chang. The network helps show where Yi‐Jun Chang may publish in the future.
Co-authorship network of co-authors of Yi‐Jun Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Jun Chang. A scholar is included among the top collaborators of Yi‐Jun 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 Yi‐Jun Chang. Yi‐Jun 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 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 16 | |
| 16 | 75 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | Application of Framelet Transform to the MS-based Proteomics Data Preprocessing. | 1 |
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.