Peng Qi
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Safety Research top 10%
- Molecular Biology
- Health Informatics top 2%
- Co-authors
- Christopher D. ManningTimothy DozatBowen ZhouYuhao ZhangBo LiShuai DiBo LiuJinfeng Yi
- Topics
- Topic Modeling (10 papers)Natural Language Processing Techniques (7 papers)Adaptive optics and wavefront sensing (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peng Qi
26 papers receiving 639 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 486
- Computer Vision and Pattern Recognition 89
- Safety Research 63
- Molecular Biology 56
- Health Informatics 51
Countries citing papers authored by Peng Qi
This map shows the geographic impact of Peng Qi'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 Peng Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Qi more than expected).
Fields of papers citing papers by Peng Qi
This network shows the impact of papers produced by Peng Qi. 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 Peng Qi. The network helps show where Peng Qi may publish in the future.
Co-authorship network of co-authors of Peng Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qi. A scholar is included among the top collaborators of Peng Qi 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 Peng Qi. Peng Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 72 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 132 | |
| 12 | 111 | |
| 13 | Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. | 2 |
| 14 | Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. | 3 |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | Status and Problem and Countermeasures of Brewing Sorghum in Guizhou | 2 |
| 19 | Application of Bayesian network in tylosin fermentation. | 1 |
| 20 | A 3-D composite model for numerical simulation of nonlinear waves | 2 |
About Peng Qi
Peng Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 692 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Adaptive optics and wavefront sensing (3 papers). The work is most often cited by research in Health Informatics (51 citations), Artificial Intelligence (486 citations) and Safety Research (63 citations). Peng Qi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Christopher D. Manning, Timothy Dozat, Bowen Zhou, Yuhao Zhang, Bo Li, Shuai Di, Bo Liu, Jinfeng Yi, Jingen Liu and Curtis P. Langlotz. Their work appears in journals such as Materials Science and Engineering A, ACM Computing Surveys and Neural Computation.
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.