Bin Dong
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
- Experimental and Cognitive Psychology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Zixing ZhangBjörn W. SchullerFabien RingevalEduardo CoutinhoErik MarchiShanshan JiangXianpei HanLe Sun
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Speech and Audio Processing (3 papers)
- Journals
- Journal of Applied PhysicsMechanical Systems and Signal ProcessingBiomedical Signal Processing and Control
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Dong
19 papers receiving 123 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 27
- Signal Processing 24
- Experimental and Cognitive Psychology 21
- Radiology, Nuclear Medicine and Imaging 13
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-authorship network of co-authors of Bin Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Dong. A scholar is included among the top collaborators of Bin Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Dong. Bin Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | You Only Propagate Once: Painless Adversarial Training Using Maximal Principle | 12 |
| 12 | 16 | |
| 13 | Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View | 3 |
| 14 | 1 | |
| 15 | SRCB Neural Machine Translation Systems in WAT 2018 | 2 |
| 16 | SRCB Entity Discovery and Linking (EDL) and Event Nugget Systems for TAC 2017. | 6 |
| 17 | 8 | |
| 18 | 44 | |
| 19 | 1 | |
| 20 | 2 |
About Bin Dong
Bin Dong is a scholar working on Computational Mathematics, Health Informatics and Artificial Intelligence, 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) and Speech and Audio Processing (3 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (80 citations) and Signal Processing (24 citations). Bin Dong has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zixing Zhang, Björn W. Schuller, Fabien Ringeval, Eduardo Coutinho, Erik Marchi, Shanshan Jiang, Xianpei Han, Le Sun, Yaojie Lu and Hongyu Lin. Their work appears in journals such as Journal of Applied Physics, Mechanical Systems and Signal Processing 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.