Meina Song
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Transportation top 10%
- Topics
- Service-Oriented Architecture and Web Services (25 papers)Topic Modeling (23 papers)Recommender Systems and Techniques (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Meina Song
111 papers receiving 762 citations
Peers
Comparison fields: 5 of 86
- Information Systems 430
- Artificial Intelligence 308
- Computer Networks and Communications 243
- Computer Vision and Pattern Recognition 148
- Transportation 58
Countries citing papers authored by Meina Song
This map shows the geographic impact of Meina 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 Meina Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meina Song more than expected).
Fields of papers citing papers by Meina Song
This network shows the impact of papers produced by Meina 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 Meina Song. The network helps show where Meina Song may publish in the future.
Co-authorship network of co-authors of Meina Song
This figure shows the co-authorship network connecting the top 25 collaborators of Meina Song. A scholar is included among the top collaborators of Meina 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 Meina Song. Meina 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 21 | |
| 18 | Research on Conditional Random Fields Based Mongolian Word Segmentation | 1 |
| 19 | 4 | |
| 20 | Research on SLA management model in service operation support system | 1 |
About Meina Song
Meina Song is a scholar working on Information Systems, Computer Networks and Communications and Computational Mathematics, having authored 128 papers that have together received 802 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (25 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (19 papers). The work is most often cited by research in Information Systems (430 citations), Computational Mathematics (11 citations) and Computer Networks and Communications (243 citations). Meina Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include E Haihong, Junde Song, Zhonghong Ou, Jiang Liu, Jing Han, Xiaolin Zheng, Xuejun Zhao, Wentian Cui, Shu Zhang and Cong Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.