Dan Su
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and Audio Processing 67
- Music and Audio Processing 62
-
- Speech Recognition and Synthesis 77
- Natural Language Processing Techniques 25
- Topic Modeling 20
- Speech and dialogue systems 8
- Co-authors
- Pascale Fung (15 shared papers)Tiezheng Yu (7 shared papers)Ziwei Ji (3 shared papers)Yan Xu (2 shared papers)Etsuko Ishii (2 shared papers)Andrea Madotto (2 shared papers)Nayeon Lee (1 shared paper)Rita Frieske (1 shared paper)
- Journals
- Journal of Molecular Liquids (2 papers)Journal of China Tourism Research (2 papers)Planta Medica (1 paper)Industrial Crops and Products (1 paper)Energies (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dan Su
150 papers receiving 4.8k citations
Dan Su's Hit Papers
Peers
Comparison fields: 5 of 189
- Health Informatics 433
- Signal Processing 1.2k
- Artificial Intelligence 3.0k
- Computer Science Applications 125
- Computer Vision and Pattern Recognition 471
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan Su'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 Dan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan Su. 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 Dan Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Su, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Survey of Hallucination in Natural Language Generation Hit paper breakdown → | 2022 | 2184 |
| 2 | A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Hit paper breakdown → | 2023 | 484 |
| 3 | 2021 | 150 | |
| 4 | 2021 | 128 | |
| 5 | 2020 | 64 | |
| 6 | 2019 | 64 | |
| 7 | 2022 | 63 | |
| 8 | 2020 | 61 | |
| 9 | 2019 | 60 | |
| 10 | 2018 | 57 | |
| 11 | 2018 | 49 | |
| 12 | 2019 | 49 | |
| 13 | Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network Hit paper breakdown → | 2025 | 48 |
| 14 | 2019 | 47 | |
| 15 | 2020 | 45 | |
| 16 | 2018 | 43 | |
| 17 | 2022 | 43 | |
| 18 | 2020 | 42 | |
| 19 | Resonant tunneling diode cellular neural network with memristor coupling and its application in police forensic digital image protection Hit paper breakdown → | 2025 | 42 |
| 20 | 2021 | 34 |
About Dan Su
Dan Su is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Water Science and Technology and Cancer Research, having authored 161 papers that have together received 5.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (77 papers), Speech and Audio Processing (67 papers), Music and Audio Processing (62 papers), Natural Language Processing Techniques (25 papers), Topic Modeling (20 papers), Speech and dialogue systems (8 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Algorithms and Applications (4 papers). The work is most often cited by research in Health Informatics (433 citations), Signal Processing (1.2k citations), Artificial Intelligence (3.0k citations), Computer Science Applications (125 citations) and Computer Vision and Pattern Recognition (471 citations). Dan Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pascale Fung, Tiezheng Yu, Ziwei Ji, Yan Xu, Etsuko Ishii, Andrea Madotto, Nayeon Lee, Rita Frieske, Dong Yu and Chao Weng. Their work appears in journals such as Journal of Molecular Liquids, Journal of China Tourism Research, Planta Medica, Industrial Crops and Products and Energies.
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.