Shengchen Li
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Music and Audio Processing 14
- Speech and Audio Processing 7
-
- High Entropy Alloys Studies 4
- Advanced machining processes and optimization 4
- Co-authors
- Defu Liu (6 shared papers)Tao Chen (3 shared papers)Jian Liu (2 shared papers)Mark D. Plumbley (4 shared papers)Shunli Shi (6 shared papers)Chao Chen (6 shared papers)Haojun Ai (4 shared papers)Qiuqiang Kong (2 shared papers)
- Journals
- The International Journal of Advanced Manufacturing Technology (4 papers)Applied Surface Science (2 papers)Applied Sciences (2 papers)International Journal of Intelligent Systems (2 papers)Ceramics International (2 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Shengchen Li
41 papers receiving 326 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 72
- Developmental Biology 10
- Mechanical Engineering 110
- Automotive Engineering 32
- Catalysis 14
Countries citing papers authored by Shengchen Li
This map shows the geographic impact of Shengchen Li'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 Shengchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengchen Li more than expected).
Fields of papers citing papers by Shengchen Li
This network shows the impact of papers produced by Shengchen Li. 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 Shengchen Li. The network helps show where Shengchen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengchen Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 29 | |
| 2 | 2022 | 26 | |
| 3 | 2020 | 23 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 6 |
About Shengchen Li
Shengchen Li is a scholar working on Signal Processing, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 331 indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Speech and Audio Processing (7 papers), Music Technology and Sound Studies (5 papers), Speech Recognition and Synthesis (5 papers), Catalytic Processes in Materials Science (4 papers), Advanced Machining and Optimization Techniques (4 papers), High Entropy Alloys Studies (4 papers) and Advanced machining processes and optimization (4 papers). The work is most often cited by research in Signal Processing (72 citations), Developmental Biology (10 citations), Mechanical Engineering (110 citations), Automotive Engineering (32 citations) and Catalysis (14 citations). Shengchen Li has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Defu Liu, Tao Chen, Jian Liu, Mark D. Plumbley, Shunli Shi, Chao Chen, Haojun Ai, Qiuqiang Kong, Jian Liu and Tao Chen. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Applied Surface Science, Applied Sciences, International Journal of Intelligent Systems and Ceramics International.
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.