Bin Tian
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
Papers in
-
- Image and Signal Denoising Methods 5
- Visual Attention and Saliency Detection 2
- Advanced Neural Network Applications 2
- Co-authors
- M.R. Azimi-Sadjadi (5 shared papers)Thomas H. Vonder Haar (2 shared papers)Mohammad Abuzar Shaikh (2 shared papers)D. Reinke (1 shared paper)Xin Liao (1 shared paper)Bo Cai (1 shared paper)Yinglong Li (1 shared paper)Wei Wei (1 shared paper)
- Journals
- Scientific Reports (2 papers)Knowledge-Based Systems (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Atmosphere (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bin Tian
24 papers receiving 298 citations
Peers
Comparison fields: 5 of 67
- Media Technology 80
- Computer Vision and Pattern Recognition 78
- Radiology, Nuclear Medicine and Imaging 54
- Artificial Intelligence 83
- Health Informatics 3
Countries citing papers authored by Bin Tian
This map shows the geographic impact of Bin Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Tian more than expected).
Fields of papers citing papers by Bin Tian
This network shows the impact of papers produced by Bin Tian. 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 Tian. The network helps show where Bin Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Tian, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 137 | |
| 2 | 2019 | 38 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 21 | |
| 5 | 2005 | 14 | |
| 6 | 2001 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2002 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2003 | 2 | |
| 18 | 2007 | 2 | |
| 19 | Performance studies for MSE-OFDM, OFDM and Single-Carrier systems in frequency selective fading channels | 2006 | 1 |
| 20 | 2022 | 1 |
About Bin Tian
Bin Tian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Ecology, having authored 27 papers that have together received 315 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Remote Sensing in Agriculture (3 papers), Advanced Image Fusion Techniques (3 papers), Hydrological Forecasting Using AI (2 papers), Sparse and Compressive Sensing Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Media Technology (80 citations), Computer Vision and Pattern Recognition (78 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Artificial Intelligence (83 citations) and Health Informatics (3 citations). Bin Tian has collaborated with scholars based in China and United States. Frequent co-authors include M.R. Azimi-Sadjadi, Thomas H. Vonder Haar, Mohammad Abuzar Shaikh, D. Reinke, Xin Liao, Bo Cai, Yinglong Li, Wei Wei, Yilin Luo and Chen Li. Their work appears in journals such as Scientific Reports, Knowledge-Based Systems, Computer Methods and Programs in Biomedicine, Atmosphere and Computers in Biology and Medicine.
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.