Jianian Li
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Signal Processing top 10%
- Plant Science
- Topics
- Smart Agriculture and AI (9 papers)Irrigation Practices and Water Management (4 papers)Wireless Sensor Networks and IoT (4 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jianian Li
32 papers receiving 411 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 113
- Radiology, Nuclear Medicine and Imaging 108
- Biomedical Engineering 89
- Signal Processing 67
- Plant Science 61
Countries citing papers authored by Jianian Li
This map shows the geographic impact of Jianian Li'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 Jianian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianian Li more than expected).
Fields of papers citing papers by Jianian Li
This network shows the impact of papers produced by Jianian Li. 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 Jianian Li. The network helps show where Jianian Li may publish in the future.
Co-authorship network of co-authors of Jianian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jianian Li. A scholar is included among the top collaborators of Jianian Li 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 Jianian Li. Jianian Li 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 | 0 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 20 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | Comparison of Two Small Circularly Polarized Antennas for Focused Microwave Hyperthermia | 6 |
| 15 | Development of rapid identification device for variety of macronutrient water soluble fertilizers based on dielectric characteristic frequency. | 2 |
| 16 | Design and experiment of low pressure Venturi injector based on double fertilizer inlets. | 6 |
| 17 | Design and implementation of low powered drip irrigation controller for citrus orchard. | 3 |
| 18 | Test of wireless sensor network radio frequency signal propagation based on different node deployments in citrus orchards. | 5 |
| 19 | Path-loss prediction for radio frequency signal of wireless sensor network in field based on artificial neural network. | 1 |
| 20 | Design and realization of remote monitoring system for soil moisture in citrus orchards. | 1 |
About Jianian Li
Jianian Li is a scholar working on Process Chemistry and Technology, Soil Science and Analytical Chemistry, having authored 36 papers that have together received 429 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Irrigation Practices and Water Management (4 papers) and Wireless Sensor Networks and IoT (4 papers). The work is most often cited by research in Ophthalmology (58 citations), Signal Processing (67 citations) and Computer Vision and Pattern Recognition (113 citations). Jianian Li has collaborated with scholars based in China and United States. Frequent co-authors include Hui Ma, Xiong Wang, Dongdong Zhao, Yan Xu, Xiaomei Liu, Baosheng Wang, Chenzhe Li, Xiangjun Zou, Ji‐Lei Wang and Chenglin Wang. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.
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.