Bin Dong
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Adversarial Robustness in Machine Learning
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
-
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
- Co-authors
- Eduardo Coutinho (1 shared paper)Björn W. Schuller (1 shared paper)Fabien Ringeval (1 shared paper)Erik Marchi (1 shared paper)Zixing Zhang (1 shared paper)Shanshan Jiang (5 shared papers)Hongyu Lin (1 shared paper)Xianpei Han (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)Theory and applications of categories (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Dong
19 papers receiving 123 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 4
- Artificial Intelligence 80
- Signal Processing 24
- Experimental and Cognitive Psychology 21
- 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 | 44 | |
| 2 | 2019 | 16 | |
| 3 | You Only Propagate Once: Painless Adversarial Training Using Maximal Principle | 2019 | 12 |
| 4 | 2021 | 10 | |
| 5 | 2023 | 10 | |
| 6 | 2016 | 8 | |
| 7 | SRCB Entity Discovery and Linking (EDL) and Event Nugget Systems for TAC 2017. | 2017 | 6 |
| 8 | 2020 | 3 | |
| 9 | Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View | 2019 | 3 |
| 10 | 2024 | 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 | 2021 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
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 128 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers), Computational Physics and Python Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (80 citations), Signal Processing (24 citations), Experimental and Cognitive Psychology (21 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 Eduardo Coutinho, Björn W. Schuller, Fabien Ringeval, Erik Marchi, Zixing Zhang, Shanshan Jiang, Hongyu Lin, Xianpei Han, Yiping Lu and Yaojie Lu. 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 Theory and applications of categories.
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.