Qiuqiang Kong
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 10%
- Developmental Biology top 2%
- Topics
- Music and Audio Processing (54 papers)Speech and Audio Processing (44 papers)Speech Recognition and Synthesis (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of the Acoustical Society of AmericaIEEE Signal Processing Letters
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Qiuqiang Kong
58 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Signal Processing 1.4k
- Computer Vision and Pattern Recognition 709
- Artificial Intelligence 615
- Cognitive Neuroscience 120
- Developmental Biology 113
Countries citing papers authored by Qiuqiang Kong
This map shows the geographic impact of Qiuqiang Kong'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 Qiuqiang Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuqiang Kong more than expected).
Fields of papers citing papers by Qiuqiang Kong
This network shows the impact of papers produced by Qiuqiang Kong. 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 Qiuqiang Kong. The network helps show where Qiuqiang Kong may publish in the future.
Co-authorship network of co-authors of Qiuqiang Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Qiuqiang Kong. A scholar is included among the top collaborators of Qiuqiang Kong 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 Qiuqiang Kong. Qiuqiang Kong 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Researchbreakdown → | 63 |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 25 | |
| 15 | 44 | |
| 16 | 9 | |
| 17 | 54 | |
| 18 | DCASE 2018 Challenge baseline with convolutional neural networks. | 11 |
| 19 | 125 | |
| 20 | 27 |
About Qiuqiang Kong
Qiuqiang Kong is a scholar working on Signal Processing, Developmental Biology and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Music and Audio Processing (54 papers), Speech and Audio Processing (44 papers) and Speech Recognition and Synthesis (19 papers). The work is most often cited by research in Signal Processing (1.4k citations), Developmental Biology (113 citations) and Computer Vision and Pattern Recognition (709 citations). Qiuqiang Kong has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Mark D. Plumbley, Wenwu Wang, Turab Iqbal, Yin Cao, Yuxuan Wang, Yong Xu, Haohe Liu, Xinhao Mei, Björn W. Schuller and Qiang Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Signal Processing Letters.
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.