Riheng Jia
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Minglu LiFeilong LinZhonglong ZhengJianfeng LuChangbing TangXinbing WangZhongyu ChenXiaohua Tian
- Topics
- Energy Harvesting in Wireless Networks (9 papers)Privacy-Preserving Technologies in Data (9 papers)UAV Applications and Optimization (7 papers)
- Journals
- IEEE AccessIEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Communications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Riheng Jia
41 papers receiving 338 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 119
- Artificial Intelligence 119
- Electrical and Electronic Engineering 85
- Information Systems 61
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Riheng Jia
This map shows the geographic impact of Riheng 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 Riheng Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riheng Jia more than expected).
Fields of papers citing papers by Riheng Jia
This network shows the impact of papers produced by Riheng 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 Riheng Jia. The network helps show where Riheng Jia may publish in the future.
Co-authorship network of co-authors of Riheng Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Riheng Jia. A scholar is included among the top collaborators of Riheng 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 Riheng Jia. Riheng 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 3 |
About Riheng Jia
Riheng Jia is a scholar working on Health Informatics, Acoustics and Ultrasonics and Computer Networks and Communications, having authored 45 papers that have together received 348 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (9 papers), Privacy-Preserving Technologies in Data (9 papers) and UAV Applications and Optimization (7 papers). The work is most often cited by research in Computer Science Applications (48 citations), Computer Networks and Communications (119 citations) and Artificial Intelligence (119 citations). Riheng Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Minglu Li, Feilong Lin, Zhonglong Zheng, Jianfeng Lu, Changbing Tang, Xinbing Wang, Zhongyu Chen, Xiaohua Tian, Jinbei Zhang and Xiong Wang. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.
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.