Xingyi Song
- Artificial Intelligence top 10%
- Sociology and Political Science
- Mechanical Engineering
- Catalysis
- Biomedical Engineering
- Co-authors
- Ye JiangDiana MaynardJohann PetrakKalina BontchevaMatthew GilbertLinwei HeAngus RobertsPengfei Liu
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (9 papers)Misinformation and Its Impacts (8 papers)
- Partner nations
- United KingdomChinaSwitzerland
In The Last Decade
Xingyi Song
28 papers receiving 429 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 158
- Sociology and Political Science 94
- Mechanical Engineering 70
- Catalysis 64
- Biomedical Engineering 57
Countries citing papers authored by Xingyi Song
This map shows the geographic impact of Xingyi 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 Xingyi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyi Song more than expected).
Fields of papers citing papers by Xingyi Song
This network shows the impact of papers produced by Xingyi 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 Xingyi Song. The network helps show where Xingyi Song may publish in the future.
Co-authorship network of co-authors of Xingyi Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyi Song. A scholar is included among the top collaborators of Xingyi 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 Xingyi Song. Xingyi 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 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 80 | |
| 12 | 1 | |
| 13 | 71 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 37 | |
| 17 | RP-DNN : a Tweet level propagation context based deep neural networks for early rumor detection in social media | 4 |
| 18 | 28 | |
| 19 | 73 | |
| 20 | Regression and Ranking based Optimisation for Sentence Level MT Evaluation | 8 |
About Xingyi Song
Xingyi Song is a scholar working on Artificial Intelligence, General Social Sciences and Information Systems, having authored 32 papers that have together received 448 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Misinformation and Its Impacts (8 papers). The work is most often cited by research in Health Informatics (15 citations), Catalysis (64 citations) and General Social Sciences (17 citations). Xingyi Song has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include Ye Jiang, Diana Maynard, Johann Petrak, Kalina Bontcheva, Matthew Gilbert, Linwei He, Angus Roberts, Pengfei Liu, Xiao Han and Yuanxi Zhang. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.
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.