Ling-Yun Dai
- Co-authors
- Jin‐Xing LiuRong ZhuJunliang ShangJuan WangShasha YuanYing-Lian GaoXiang-Zhen KongYong Wang
- Topics
- Gene expression and cancer classification (23 papers)Bioinformatics and Genomic Networks (19 papers)Machine Learning in Bioinformatics (10 papers)
- Partner nations
- China
In The Last Decade
Ling-Yun Dai
36 papers receiving 314 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 185
- Cancer Research 105
- Cognitive Neuroscience 61
- Artificial Intelligence 40
- Signal Processing 33
Countries citing papers authored by Ling-Yun Dai
This map shows the geographic impact of Ling-Yun 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 Ling-Yun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Yun Dai more than expected).
Fields of papers citing papers by Ling-Yun Dai
This network shows the impact of papers produced by Ling-Yun 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 Ling-Yun Dai. The network helps show where Ling-Yun Dai may publish in the future.
Co-authorship network of co-authors of Ling-Yun Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Yun Dai. A scholar is included among the top collaborators of Ling-Yun 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 Ling-Yun Dai. Ling-Yun 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 47 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 31 | |
| 18 | 4 | |
| 19 | 23 | |
| 20 | 5 |
About Ling-Yun Dai
Ling-Yun Dai is a scholar working on Computational Mathematics, Cancer Research and Signal Processing, having authored 42 papers that have together received 318 indexed citations. Recurring topics across this work include Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (19 papers) and Machine Learning in Bioinformatics (10 papers). The work is most often cited by research in Computational Mathematics (5 citations), Cancer Research (105 citations) and Cognitive Neuroscience (61 citations). Ling-Yun Dai has collaborated with scholars based in China. Frequent co-authors include Jin‐Xing Liu, Rong Zhu, Junliang Shang, Juan Wang, Shasha Yuan, Ying-Lian Gao, Xiang-Zhen Kong, Yong Wang, Xiang Liu and Ying Guo. Their work appears in journals such as BMC Bioinformatics, BMC Genomics and Experimental Biology and Medicine.
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.