Dandan Song
- Artificial Intelligence top 2%
- Information Systems top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Topics
- Topic Modeling (27 papers)Text and Document Classification Technologies (14 papers)Natural Language Processing Techniques (12 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dandan Song
77 papers receiving 985 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 503
- Information Systems 279
- Molecular Biology 216
- Computer Vision and Pattern Recognition 166
- Signal Processing 113
Countries citing papers authored by Dandan Song
This map shows the geographic impact of Dandan 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 Dandan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Song more than expected).
Fields of papers citing papers by Dandan Song
This network shows the impact of papers produced by Dandan 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 Dandan Song. The network helps show where Dandan Song may publish in the future.
Co-authorship network of co-authors of Dandan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Song. A scholar is included among the top collaborators of Dandan 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 Dandan Song. Dandan 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 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 40 | |
| 9 | 5 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | A Bilingual Lexicon-Based Multi-class SemanticOrientation Analysis for Microblogs | 3 |
| 14 | 28 | |
| 15 | Topic modeling with document relative similarities | 14 |
| 16 | BIT and Purdue at TREC-KBA-CCR Track 2014 | 1 |
| 17 | BIT and MSRA at TREC KBA CCR Track 2013 | 14 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | Neural network approach to predict RNA secondary structures | 1 |
About Dandan Song
Dandan Song is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Text and Document Classification Technologies (14 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (503 citations), Transportation (90 citations) and Information Systems (279 citations). Dandan Song has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lejian Liao, Yang Fang, Kunjie Fan, William K. Cheung, Jing He, Xin Li, Shouyi Yin, Peng Ouyang, Shaojun Wei and Leibo Liu. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and NeuroImage.
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.