Haifeng Sang
About
In The Last Decade
Haifeng Sang
33 papers receiving 204 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 117
- Automotive Engineering 89
- Safety, Risk, Reliability and Quality 49
- Artificial Intelligence 48
- Building and Construction 28
Countries citing papers authored by Haifeng Sang
This map shows the geographic impact of Haifeng Sang'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 Haifeng Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Sang more than expected).
Fields of papers citing papers by Haifeng Sang
This network shows the impact of papers produced by Haifeng Sang. 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 Haifeng Sang. The network helps show where Haifeng Sang may publish in the future.
Co-authorship network of co-authors of Haifeng Sang
This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Sang. A scholar is included among the top collaborators of Haifeng Sang 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 Haifeng Sang. Haifeng Sang 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 18 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | Palmprint recognition based on wavelet decomposition and PCA | 1 |
| 20 | End-Point Temperature Prediction Based on Neural Network for Vacuum Induction Melting | 2 |
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.