Jianfei Chen
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Topic Modeling 5
- Bayesian Methods and Mixture Models 5
- Gaussian Processes and Bayesian Inference 5
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- Face and Expression Recognition 6
- Image and Signal Denoising Methods 5
- General Social Sciences top 1%
- Global and Planetary Change top 10%
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- Soil Moisture and Remote Sensing 12
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- Microwave Imaging and Scattering Analysis 5
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- Sparse and Compressive Sensing Techniques 4
- Co-authors
- Jun ZhuKang‐Tsung ChangShi‐Xia LiuDávid KarácsonyiXiaolin ZhangXiting WangBaining GuoHai-Tao Zheng
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jianfei Chen
69 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 28
- Artificial Intelligence 514
- Computer Vision and Pattern Recognition 282
- General Social Sciences 36
- Global and Planetary Change 142
Countries citing papers authored by Jianfei Chen
This map shows the geographic impact of Jianfei Chen'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 Jianfei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianfei Chen more than expected).
Fields of papers citing papers by Jianfei Chen
This network shows the impact of papers produced by Jianfei Chen. 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 Jianfei Chen. The network helps show where Jianfei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianfei Chen, 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 | 2025 | 1 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | Parameter-efficient fine-tuning of large-scale pre-trained language modelsbreakdown → | 2023 | 420 |
| 10 | 2023 | 3 | |
| 11 | ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training | 2021 | 3 |
| 12 | VFlow: More Expressive Generative Flows with Variational Data Augmentation | 2020 | 2 |
| 13 | Stochastic Training of Graph Convolutional Networks with Variance Reduction | 2018 | 57 |
| 14 | Stochastic Expectation Maximization with Variance Reduction | 2018 | 12 |
| 15 | Population Matching Discrepancy and Applications in Deep Learning | 2017 | 4 |
| 16 | WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation. | 2015 | 3 |
| 17 | 2014 | 6 | |
| 18 | Bayesian Max-margin Multi-Task Learning with Data Augmentation | 2014 | 11 |
| 19 | Scalable Inference for Logistic-Normal Topic Models | 2013 | 35 |
| 20 | 2001 | 25 |
About Jianfei Chen
Jianfei Chen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Artificial Intelligence, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (12 papers), Face and Expression Recognition (6 papers), Topic Modeling (5 papers), Image and Signal Denoising Methods (5 papers), Bayesian Methods and Mixture Models (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Microwave Imaging and Scattering Analysis (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Health Informatics (28 citations), Artificial Intelligence (514 citations) and Computer Vision and Pattern Recognition (282 citations). Jianfei Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Zhu, Kang‐Tsung Chang, Shi‐Xia Liu, Dávid Karácsonyi, Xiaolin Zhang, Xiting Wang, Baining Guo, Hai-Tao Zheng, Zonghan Yang and Yujia Qin.
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.