Qipeng Guo
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Xipeng QiuXiangyang XueZheng ZhangRuotian MaLinyang LiYunfan ShaoHang YanTao Gui
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (10 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- ACM Computing SurveysIEEE/ACM Transactions on Audio Speech and Language ProcessingScience China Information Sciences
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qipeng Guo
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 907
- Computer Vision and Pattern Recognition 219
- Information Systems 118
- Signal Processing 102
- Management Science and Operations Research 68
Countries citing papers authored by Qipeng Guo
This map shows the geographic impact of Qipeng Guo'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 Qipeng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qipeng Guo more than expected).
Fields of papers citing papers by Qipeng Guo
This network shows the impact of papers produced by Qipeng Guo. 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 Qipeng Guo. The network helps show where Qipeng Guo may publish in the future.
Co-authorship network of co-authors of Qipeng Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Qipeng Guo. A scholar is included among the top collaborators of Qipeng Guo 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 Qipeng Guo. Qipeng Guo 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 173 | |
| 12 | 20 | |
| 13 | BERT-ATTACK: Adversarial Attack Against BERT Using BERTbreakdown → | 306 |
| 14 | 97 | |
| 15 | 47 | |
| 16 | 16 | |
| 17 | 102 | |
| 18 | Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs | 260 |
| 19 | 23 | |
| 20 | SegTree Transformer: Iterative refinement of hierarchical features | 1 |
About Qipeng Guo
Qipeng Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (907 citations), Computer Vision and Pattern Recognition (219 citations) and Signal Processing (102 citations). Qipeng Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xipeng Qiu, Xiangyang Xue, Zheng Zhang, Ruotian Ma, Linyang Li, Yunfan Shao, Hang Yan, Tao Gui, Junqi Dai and Pengfei Liu. Their work appears in journals such as ACM Computing Surveys, IEEE/ACM Transactions on Audio Speech and Language Processing and Science China Information Sciences.
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.