Hong Qu
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Information Systems top 2%
- Co-authors
- Yi ZhangMingsheng FuMalu ZhangXiurui XieLiwei HuangLi LuYi ChenAmmar Belatreche
- Topics
- Neural dynamics and brain function (33 papers)Advanced Memory and Neural Computing (32 papers)Topic Modeling (15 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hong Qu
113 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 753
- Electrical and Electronic Engineering 551
- Computer Vision and Pattern Recognition 548
- Cognitive Neuroscience 408
- Information Systems 265
Countries citing papers authored by Hong Qu
This map shows the geographic impact of Hong Qu'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 Hong Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Qu more than expected).
Fields of papers citing papers by Hong Qu
This network shows the impact of papers produced by Hong Qu. 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 Hong Qu. The network helps show where Hong Qu may publish in the future.
Co-authorship network of co-authors of Hong Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Qu. A scholar is included among the top collaborators of Hong Qu 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 Hong Qu. Hong Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 27 | |
| 16 | 16 | |
| 17 | Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks | 15 |
| 18 | 171 | |
| 19 | 131 | |
| 20 | 29 |
About Hong Qu
Hong Qu is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (33 papers), Advanced Memory and Neural Computing (32 papers) and Topic Modeling (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (548 citations), Artificial Intelligence (753 citations) and Cognitive Neuroscience (408 citations). Hong Qu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yi Zhang, Mingsheng Fu, Malu Zhang, Xiurui Xie, Liwei Huang, Li Lu, Yi Chen, Ammar Belatreche, Simon X. Yang and Allan R. Willms. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.
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.