Shiqi Shen
- Artificial Intelligence top 1%
- Information Systems top 5%
- Signal Processing top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Maosong SunZhiyuan LiuYankai LinHuanbo LuanPrateek SaxenaShruti TopleZheng Leong ChuaZhenkai Liang
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Advanced Graph Neural Networks (4 papers)
In The Last Decade
Shiqi Shen
21 papers receiving 961 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 874
- Information Systems 188
- Signal Processing 96
- Management Science and Operations Research 85
- Computer Vision and Pattern Recognition 83
Countries citing papers authored by Shiqi Shen
This map shows the geographic impact of Shiqi Shen'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 Shiqi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqi Shen more than expected).
Fields of papers citing papers by Shiqi Shen
This network shows the impact of papers produced by Shiqi Shen. 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 Shiqi Shen. The network helps show where Shiqi Shen may publish in the future.
Co-authorship network of co-authors of Shiqi Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Shiqi Shen. A scholar is included among the top collaborators of Shiqi Shen 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 Shiqi Shen. Shiqi Shen 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 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints | 2 |
| 14 | 32 | |
| 15 | Neural Nets Can Learn Function Type Signatures From Binaries | 62 |
| 16 | 37 | |
| 17 | 1 | |
| 18 | Neural Relation Extraction with Selective Attention over Instancesbreakdown → | 605 |
| 19 | 118 | |
| 20 | 1 |
About Shiqi Shen
Shiqi Shen is a scholar working on Software, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Artificial Intelligence (874 citations), Software (53 citations) and Signal Processing (96 citations). Shiqi Shen has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Maosong Sun, Zhiyuan Liu, Yankai Lin, Huanbo Luan, Prateek Saxena, Shruti Tople, Zheng Leong Chua, Zhenkai Liang, Shweta Shinde and Zhipeng Wang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Solid State Chemistry and The VLDB Journal.
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.