Bing Hu
- Industrial and Manufacturing Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Civil and Structural Engineering
- Artificial Intelligence
- Topics
- Industrial Vision Systems and Defect Detection (4 papers)AI in cancer detection (3 papers)Spectroscopy Techniques in Biomedical and Chemical Research (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE AccessIEEE Transactions on Biomedical EngineeringIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bing Hu
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 62
- Industrial and Manufacturing Engineering 203
- Computer Vision and Pattern Recognition 173
- Electrical and Electronic Engineering 39
- Civil and Structural Engineering 36
- Artificial Intelligence 35
Countries citing papers authored by Bing Hu
This map shows the geographic impact of Bing Hu'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 Bing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Hu more than expected).
Fields of papers citing papers by Bing Hu
This network shows the impact of papers produced by Bing Hu. 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 Bing Hu. The network helps show where Bing Hu may publish in the future.
Co-authorship network of co-authors of Bing Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Hu. A scholar is included among the top collaborators of Bing Hu 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 Bing Hu. Bing Hu 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 | 1 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 214 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 27 | |
| 16 | 14 |
About Bing Hu
Bing Hu is a scholar working on Industrial and Manufacturing Engineering, Biophysics and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 324 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), AI in cancer detection (3 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (203 citations), Computer Vision and Pattern Recognition (173 citations) and Media Technology (35 citations). Bing Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianhui Wang, Guitao Cao, Pengfei Shi, Yuanguo Bi, Simon Liao, Jianhui Wang, Zheng Liu, Kuan Zhang, Zhenzhi He and Xiaoling Zhang. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Intelligent Transportation Systems.
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.