Weijia Wang
- Aerospace Engineering top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Topics
- Target Tracking and Data Fusion in Sensor Networks (8 papers)Indoor and Outdoor Localization Technologies (7 papers)UAV Applications and Optimization (5 papers)
- Cited by
- Aerospace EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPersonality and Individual Differences
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weijia Wang
28 papers receiving 345 citations
Peers
Comparison fields: 5 of 53
- Aerospace Engineering 227
- Computer Networks and Communications 151
- Computer Vision and Pattern Recognition 122
- Electrical and Electronic Engineering 79
- Artificial Intelligence 66
Countries citing papers authored by Weijia Wang
This map shows the geographic impact of Weijia Wang'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 Weijia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijia Wang more than expected).
Fields of papers citing papers by Weijia Wang
This network shows the impact of papers produced by Weijia Wang. 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 Weijia Wang. The network helps show where Weijia Wang may publish in the future.
Co-authorship network of co-authors of Weijia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Wang. A scholar is included among the top collaborators of Weijia Wang 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 Weijia Wang. Weijia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 107 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 97 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Robust Optimization Model of Elevator Group Scheduling Based on Genetic Algorithm | 2 |
| 20 | 1 |
About Weijia Wang
Weijia Wang is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 355 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and UAV Applications and Optimization (5 papers). The work is most often cited by research in Aerospace Engineering (227 citations), Computer Networks and Communications (151 citations) and Computer Vision and Pattern Recognition (122 citations). Weijia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaolong Liang, Peng Bai, Jiaqiang Zhang, Yubing Wang, Jiaqiang Zhang, Qun Zong, Hao Li, Zezhou Wang, Liping Hu and Yu Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Personality and Individual Differences.
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.