Peng Qian
- Information Systems top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Cognitive Neuroscience
- Management Information Systems top 10%
- Co-authors
- Qinming HeZhenguang LiuXiang WangYuan ZhuangQi LiuRoger LévyRoger ZimmermannRichard Futrell
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (14 papers)Blockchain Technology Applications and Security (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Peng Qian
42 papers receiving 875 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Information Systems 472
- Artificial Intelligence 380
- Signal Processing 141
- Cognitive Neuroscience 96
- Management Information Systems 79
Countries citing papers authored by Peng Qian
This map shows the geographic impact of Peng Qian'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 Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Qian more than expected).
Fields of papers citing papers by Peng Qian
This network shows the impact of papers produced by Peng Qian. 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 Qian. The network helps show where Peng Qian may publish in the future.
Co-authorship network of co-authors of Peng Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Qian. A scholar is included among the top collaborators of Peng Qian 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 Qian. Peng Qian 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 | 4 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 61 | |
| 15 | A Systematic Assessment of Syntactic Generalization in Neural Language Models | 18 |
| 16 | On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. | 1 |
| 17 | 132 | |
| 18 | 1 | |
| 19 | Bridging LSTM architecture and the neural dynamics during reading | 2 |
| 20 | Issues in Specifying Requirements for Adaptive Software Systems | 1 |
About Peng Qian
Peng Qian is a scholar working on Fluid Flow and Transfer Processes, Information Systems and Artificial Intelligence, having authored 45 papers that have together received 907 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Blockchain Technology Applications and Security (11 papers). The work is most often cited by research in Information Systems (472 citations), Signal Processing (141 citations) and Artificial Intelligence (380 citations). Peng Qian has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qinming He, Zhenguang Liu, Xiang Wang, Yuan Zhuang, Qi Liu, Roger Lévy, Roger Zimmermann, Richard Futrell, Ethan Wilcox and Xun Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.