Moxian Song
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Topics
- Machine Learning in Healthcare (7 papers)Time Series Analysis and Forecasting (6 papers)Neural Networks and Reservoir Computing (3 papers)
- Journals
- Pattern RecognitionInformation SciencesIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Moxian Song
21 papers receiving 374 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 199
- Management Science and Operations Research 52
- Statistical and Nonlinear Physics 50
- Electrical and Electronic Engineering 50
- Signal Processing 46
Countries citing papers authored by Moxian Song
This map shows the geographic impact of Moxian 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 Moxian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moxian Song more than expected).
Fields of papers citing papers by Moxian Song
This network shows the impact of papers produced by Moxian 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 Moxian Song. The network helps show where Moxian Song may publish in the future.
Co-authorship network of co-authors of Moxian Song
This figure shows the co-authorship network connecting the top 25 collaborators of Moxian Song. A scholar is included among the top collaborators of Moxian 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 Moxian Song. Moxian 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 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 35 | |
| 9 | 45 | |
| 10 | 3 | |
| 11 | 32 | |
| 12 | 41 | |
| 13 | 12 | |
| 14 | 25 | |
| 15 | 27 | |
| 16 | 23 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 26 | |
| 20 | 19 |
About Moxian Song
Moxian Song is a scholar working on Signal Processing, Artificial Intelligence and Complementary and alternative medicine, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Time Series Analysis and Forecasting (6 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Artificial Intelligence (199 citations), Health Informatics (8 citations) and Signal Processing (46 citations). Moxian Song has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Shenda Hong, Hongyan Li, Chenxi Sun, Wen Jiang, Chunhe Xie, Deyun Zhou, Tao Wen, Zhenjie Wang, Junyuan Shang and Yuxi Zhou. Their work appears in journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.
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.