Dazhen Lin
Impact in
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- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Sentiment Analysis and Opinion Mining 11
- Advanced Text Analysis Techniques 9
- Topic Modeling 7
- Adversarial Robustness in Machine Learning 4
- Anomaly Detection Techniques and Applications 4
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- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 5
- Co-authors
- Donglin Cao (23 shared papers)Shaozi Li (18 shared papers)Rongrong Ji (4 shared papers)Zhiming Luo (11 shared papers)Yanping Lv (7 shared papers)Sheng Lian (3 shared papers)Min Jiang (4 shared papers)Fan Lin (1 shared paper)
In The Last Decade
Dazhen Lin
35 papers receiving 438 citations
Dazhen Lin's Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 171
- Artificial Intelligence 224
- Statistical and Nonlinear Physics 45
- Information Systems 69
- Signal Processing 30
Countries citing papers authored by Dazhen Lin
This map shows the geographic impact of Dazhen Lin'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 Dazhen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dazhen Lin more than expected).
Fields of papers citing papers by Dazhen Lin
This network shows the impact of papers produced by Dazhen Lin. 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 Dazhen Lin. The network helps show where Dazhen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dazhen Lin, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 80 | |
| 2 | Mutual learning with reliable pseudo label for semi-supervised medical image segmentation Hit paper breakdown → | 2024 | 70 |
| 3 | 2014 | 35 | |
| 4 | 2018 | 33 | |
| 5 | 2023 | 32 | |
| 6 | 2016 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 5 |
About Dazhen Lin
Dazhen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Statistical and Nonlinear Physics, having authored 39 papers that have together received 453 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Advanced Text Analysis Techniques (9 papers), Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Artificial Intelligence (224 citations), Statistical and Nonlinear Physics (45 citations), Information Systems (69 citations) and Signal Processing (30 citations). Dazhen Lin has collaborated with scholars based in China, Italy and Taiwan. Frequent co-authors include Donglin Cao, Shaozi Li, Rongrong Ji, Zhiming Luo, Yanping Lv, Sheng Lian, Min Jiang, Fan Lin, Xiangyan Chen and Ben Ma. Their work appears in journals such as Information Sciences, Neurocomputing, Soft Computing, Computers & Security and Multimedia Tools and Applications.
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.