Zhu Jia
- Water Science and Technology top 10%
- Nature and Landscape Conservation
- Ecology
- Environmental Engineering
- Industrial and Manufacturing Engineering
- Topics
- Gender and Technology in Education (4 papers)Online Learning and Analytics (3 papers)Teaching and Learning Programming (3 papers)
- Cited by
- Water Science and TechnologyNature and Landscape ConservationIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited StatesCambodia
In The Last Decade
Zhu Jia
21 papers receiving 304 citations
Peers
Comparison fields: 5 of 78
- Water Science and Technology 154
- Nature and Landscape Conservation 58
- Ecology 54
- Environmental Engineering 45
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Zhu Jia
This map shows the geographic impact of Zhu 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 Zhu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhu Jia more than expected).
Fields of papers citing papers by Zhu Jia
This network shows the impact of papers produced by Zhu 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 Zhu Jia. The network helps show where Zhu Jia may publish in the future.
Co-authorship network of co-authors of Zhu Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Zhu Jia. A scholar is included among the top collaborators of Zhu 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 Zhu Jia. Zhu 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 | 6 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 53 | |
| 14 | Text sentiment analysis based on ensemble learning method | 0 |
| 15 | 1 | |
| 16 | On the Revision of Digital Products of Fundamental Geographic Information 1:5000 1:10000 1:25000 1:50000 1:100000 Digital Elevation Model | 4 |
| 17 | Application of telecentric lens in rotary workpiece measurement system | 1 |
| 18 | 1 | |
| 19 | Multi-Parameter Equipment Cost Estimation Based on a Support Vector Machine | 1 |
| 20 | Study of Least Squares Support Vector Machines | 3 |
About Zhu Jia
Zhu Jia is a scholar working on Computer Science Applications, Health Informatics and Business and International Management, having authored 28 papers that have together received 318 indexed citations. Recurring topics across this work include Gender and Technology in Education (4 papers), Online Learning and Analytics (3 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Water Science and Technology (154 citations), Nature and Landscape Conservation (58 citations) and Industrial and Manufacturing Engineering (40 citations). Zhu Jia has collaborated with scholars based in China, United States and Cambodia. Frequent co-authors include Shili Zhao, Ran Zhao, Song Zhang, He Wang, Jincun Liu, Daoliang Li, Hua Sun, Guangxing Wang, Monique Ross and Zhihong Huang. Their work appears in journals such as The Science of The Total Environment, Aquaculture and Remote Sensing.
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.