Bin Dong
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Adversarial Robustness in Machine Learning
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- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Topic Modeling 7
- Natural Language Processing Techniques 6
- Speech Recognition and Synthesis 3
- Computational Physics and Python Applications 2
- Advanced Clustering Algorithms Research 1
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- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 2
- Co-authors
- Fabien Ringeval (1 shared paper)Björn W. Schuller (1 shared paper)Zixing Zhang (1 shared paper)Eduardo Coutinho (1 shared paper)Erik Marchi (1 shared paper)Shanshan Jiang (5 shared papers)Hongyu Lin (1 shared paper)Yaojie Lu (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)Journal of Applied Physics (1 paper)Mechanical Systems and Signal Processing (1 paper)Frontiers in Medicine (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Dong
20 papers receiving 129 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 79
- Signal Processing 23
- Experimental and Cognitive Psychology 22
- Health Informatics 2
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Bin Dong
This map shows the geographic impact of Bin Dong'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 Bin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dong more than expected).
Fields of papers citing papers by Bin Dong
This network shows the impact of papers produced by Bin Dong. 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 Bin Dong. The network helps show where Bin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2019 | 17 | |
| 3 | You Only Propagate Once: Painless Adversarial Training Using Maximal Principle | 2019 | 12 |
| 4 | 2023 | 11 | |
| 5 | 2021 | 10 | |
| 6 | 2016 | 8 | |
| 7 | SRCB Entity Discovery and Linking (EDL) and Event Nugget Systems for TAC 2017. | 2017 | 6 |
| 8 | 2024 | 5 | |
| 9 | Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View | 2019 | 3 |
| 10 | 2020 | 3 | |
| 11 | SRCB Neural Machine Translation Systems in WAT 2018 | 2018 | 2 |
| 12 | 2021 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2013 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Bin Dong
Bin Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging and Statistical and Nonlinear Physics, having authored 20 papers that have together received 134 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (3 papers), Computational Physics and Python Applications (2 papers), Advanced Neural Network Applications (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (79 citations), Signal Processing (23 citations), Experimental and Cognitive Psychology (22 citations), Health Informatics (2 citations) and Computer Vision and Pattern Recognition (27 citations). Bin Dong has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Fabien Ringeval, Björn W. Schuller, Zixing Zhang, Eduardo Coutinho, Erik Marchi, Shanshan Jiang, Hongyu Lin, Yaojie Lu, Yiping Lu and Xianpei Han. Their work appears in journals such as INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, Journal of Applied Physics, Mechanical Systems and Signal Processing, Frontiers in Medicine and Biomedical Signal Processing and Control.
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.