Kang Dai
About
In The Last Decade
Kang Dai
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 579
- Materials Chemistry 238
- Oncology 194
- Endocrine and Autonomic Systems 170
- Mechanical Engineering 148
Countries citing papers authored by Kang Dai
This map shows the geographic impact of Kang Dai'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 Kang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Dai more than expected).
Fields of papers citing papers by Kang Dai
This network shows the impact of papers produced by Kang Dai. 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 Kang Dai. The network helps show where Kang Dai may publish in the future.
Co-authorship network of co-authors of Kang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Kang Dai. A scholar is included among the top collaborators of Kang Dai 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 Kang Dai. Kang Dai 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 多重衝突環境でのエネルギー移動; 理論の実験的試験: H2(0;0)中のLiH(10;2) | 1 |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 15 | |
| 19 | 36 | |
| 20 | 154 |
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.