Cong Han
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
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- Hearing Loss and Rehabilitation
- EEG and Brain-Computer Interfaces
Papers in
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- Speech and Audio Processing 21
- Music and Audio Processing 15
- Blind Source Separation Techniques 3
-
- Speech Recognition and Synthesis 16
- Co-authors
- Nima Mesgarani (22 shared papers)Yi Luo (13 shared papers)Enea Ceolini (1 shared paper)Shih‐Chii Liu (1 shared paper)Ashesh D. Mehta (4 shared papers)Jose L. Herrero (3 shared papers)Ziming Kou (5 shared papers)James O’Sullivan (2 shared papers)
- Journals
- Sensors (2 papers)Applied Sciences (2 papers)Neurocomputing (2 papers)Science Advances (1 paper)Advanced Science (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Cong Han
37 papers receiving 420 citations
Cong Han's Hit Papers
Peers
Comparison fields: 5 of 57
- Signal Processing 262
- Cognitive Neuroscience 95
- Artificial Intelligence 173
- Computational Mechanics 66
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Cong Han
This map shows the geographic impact of Cong Han'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 Cong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Han more than expected).
Fields of papers citing papers by Cong Han
This network shows the impact of papers produced by Cong Han. 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 Cong Han. The network helps show where Cong Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Han, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 27 | |
| 5 | Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation Hit paper breakdown → | 2025 | 22 |
| 6 | 2021 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2025 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Cong Han
Cong Han is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 37 papers that have together received 439 indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (16 papers), Music and Audio Processing (15 papers), Hearing Loss and Rehabilitation (6 papers), Mineral Processing and Grinding (4 papers), Blind Source Separation Techniques (3 papers), Belt Conveyor Systems Engineering (3 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Signal Processing (262 citations), Cognitive Neuroscience (95 citations), Artificial Intelligence (173 citations), Computational Mechanics (66 citations) and Computer Vision and Pattern Recognition (58 citations). Cong Han has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Nima Mesgarani, Yi Luo, Enea Ceolini, Shih‐Chii Liu, Ashesh D. Mehta, Jose L. Herrero, Ziming Kou, James O’Sullivan, Juan Wu and Lei Zuo. Their work appears in journals such as Sensors, Applied Sciences, Neurocomputing, Science Advances and Advanced Science.
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.