Jun Feng
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Transportation top 10%
- Management Science and Operations Research
- Topics
- Soil and Unsaturated Flow (4 papers)Grouting, Rheology, and Soil Mechanics (4 papers)Geotechnical Engineering and Soil Mechanics (2 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Jun Feng
22 papers receiving 317 citations
Peers
Comparison fields: 5 of 62
- Information Systems 144
- Artificial Intelligence 130
- Computer Vision and Pattern Recognition 88
- Transportation 44
- Management Science and Operations Research 35
Countries citing papers authored by Jun Feng
This map shows the geographic impact of Jun Feng'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 Jun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Feng more than expected).
Fields of papers citing papers by Jun Feng
This network shows the impact of papers produced by Jun Feng. 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 Jun Feng. The network helps show where Jun Feng may publish in the future.
Co-authorship network of co-authors of Jun Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Feng. A scholar is included among the top collaborators of Jun Feng 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 Jun Feng. Jun Feng 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Knowledge graph embedding by flexible translation | 42 |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 184 | |
| 13 | 20 | |
| 14 | A Hydrology Metadata Visualization Method Based on XML Schema | 2 |
| 15 | Optimization on construction method of spoil silt in dredging engineering of the Yangtze Estuary | 1 |
| 16 | Text categorization method based on fuzzy support vector machine | 2 |
| 17 | 1 | |
| 18 | 8 | |
| 19 | [QRS complexes detection based on Mexican-hat wavelet]. | 8 |
| 20 | Game theory with ordinal data inputs | 0 |
About Jun Feng
Jun Feng is a scholar working on Civil and Structural Engineering, Geochemistry and Petrology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 328 indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (4 papers), Grouting, Rheology, and Soil Mechanics (4 papers) and Geotechnical Engineering and Soil Mechanics (2 papers). The work is most often cited by research in Transportation (44 citations), Information Systems (144 citations) and Computer Vision and Pattern Recognition (88 citations). Jun Feng has collaborated with scholars based in China and United Kingdom. Frequent co-authors include 将尚 渡辺, Yuyu Zhang, Hanjun Dai, Taifeng Wang, Tie‐Yan Liu, Bin Wang, Chang Xu, Mingdong Wang, Yu Hao and Xiaoyan Zhu. Their work appears in journals such as Optics Express, Remote Sensing and Natural Hazards.
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.