Di Jia
- Civil and Structural Engineering top 5%
- Mechanics of Materials
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Building and Construction top 10%
- Co-authors
- Hong ZhuSong Wei-dongPeiyu YanJianguo HanLin GaoHaichao LiLong ZhangDe’an Sun
- Topics
- Advanced Vision and Imaging (8 papers)Composite Structure Analysis and Optimization (7 papers)Medical Image Segmentation Techniques (5 papers)
- Cited by
- Civil and Structural EngineeringBuilding and ConstructionComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaConstruction and Building MaterialsIEEE Access
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Di Jia
43 papers receiving 540 citations
Peers
Comparison fields: 5 of 64
- Civil and Structural Engineering 380
- Mechanics of Materials 78
- Mechanical Engineering 73
- Computer Vision and Pattern Recognition 67
- Building and Construction 49
Countries citing papers authored by Di Jia
This map shows the geographic impact of Di Jia'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 Di Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Jia more than expected).
Fields of papers citing papers by Di Jia
This network shows the impact of papers produced by Di Jia. 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 Di Jia. The network helps show where Di Jia may publish in the future.
Co-authorship network of co-authors of Di Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Di Jia. A scholar is included among the top collaborators of Di Jia 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 Di Jia. Di Jia 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 | 3 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 66 | |
| 14 | 3 | |
| 15 | Color Image Edge Detection Combining with Gauss Manhattan Distance Map in RGB Space | 2 |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 2 |
About Di Jia
Di Jia is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Civil and Structural Engineering, having authored 47 papers that have together received 555 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Composite Structure Analysis and Optimization (7 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Civil and Structural Engineering (380 citations), Building and Construction (49 citations) and Computer Vision and Pattern Recognition (67 citations). Di Jia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Zhu, Song Wei-dong, Peiyu Yan, Jianguo Han, Lin Gao, Haichao Li, Long Zhang, De’an Sun, Fuzhen Pang and Cong Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and IEEE Access.
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.