Yingchun Song
- Co-authors
- Zhongwei LvXiaqing YuSimin LiuTingting QiaoQiong LuoDan LiMin LiuFei Xu
- Topics
- MicroRNA in disease regulation (3 papers)Advanced Computational Techniques and Applications (3 papers)Cancer-related molecular mechanisms research (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yingchun Song
20 papers receiving 383 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 194
- Cancer Research 88
- Pathology and Forensic Medicine 74
- Surgery 68
- Genetics 51
Countries citing papers authored by Yingchun Song
This map shows the geographic impact of Yingchun Song'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 Yingchun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingchun Song more than expected).
Fields of papers citing papers by Yingchun Song
This network shows the impact of papers produced by Yingchun Song. 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 Yingchun Song. The network helps show where Yingchun Song may publish in the future.
Co-authorship network of co-authors of Yingchun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yingchun Song. A scholar is included among the top collaborators of Yingchun Song 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 Yingchun Song. Yingchun Song 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 | 1 | |
| 3 | 27 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 70 | |
| 8 | 11 | |
| 9 | 64 | |
| 10 | 30 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 40 | |
| 14 | [Parameters of S1 screw fixation for percutaneous screw fixation of the sacroiliac joint using a targeting device: a digital model-based study]. | 2 |
| 15 | Calculation and Search for the Spatio-temporal Topological Relation of Spatio-temporal Object | 0 |
| 16 | A Bayes filter algorithm with non-Gaussian noises based on location of vehicular GPS | 3 |
| 17 | Effect of Treatment on high turbidity wastewater by using chitosan coated bentonite | 0 |
| 18 | 68 | |
| 19 | 2 | |
| 20 | Current Statistics Model and Adaptive Kalman Filter in GPS Navigation | 1 |
About Yingchun Song
Yingchun Song is a scholar working on Cancer Research, Developmental Neuroscience and Numerical Analysis, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Advanced Computational Techniques and Applications (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Parasitology (46 citations), Cancer Research (88 citations) and Pathology and Forensic Medicine (74 citations). Yingchun Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhongwei Lv, Xiaqing Yu, Simin Liu, Tingting Qiao, Qiong Luo, Dan Li, Min Liu, Fei Xu, Donald P. McManus and Wen Jiang. Their work appears in journals such as Chemosphere, The Journal of Infectious Diseases and Thyroid.
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.