Peng Qi
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Signal Processing top 10%
- Co-authors
- Christopher D. ManningYoshua BengioWilliam W. CohenSaizheng ZhangZhilin YangRuslan SalakhutdinovJuan CaoTianyun Yang
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (11 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaOptics ExpressIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peng Qi
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 404
- Information Systems 270
- Sociology and Political Science 206
- Signal Processing 85
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 | 3 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | Open Temporal Relation Extraction for Question Answering | 2 |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. | 6 |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 53 | |
| 15 | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringbreakdown → | 732 |
| 16 | 149 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition | 11 |
| 20 | 3 |
About Peng Qi
Peng Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (404 citations) and Information Systems (270 citations). Peng Qi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Christopher D. Manning, Yoshua Bengio, William W. Cohen, Saizheng Zhang, Zhilin Yang, Ruslan Salakhutdinov, Juan Cao, Tianyun Yang, Junbo Guo and Jintao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Transactions on Medical Imaging.
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.