Binqing Wu
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Traffic Prediction and Management Techniques 3
-
- Air Quality Monitoring and Forecasting 3
- Co-authors
- Zhao Chunliu (7 shared papers)Ling Chen (4 shared papers)Ben Xu (2 shared papers)Yina Li (1 shared paper)Donghui Chen (1 shared paper)Bo Wen (1 shared paper)Wei Zhang (1 shared paper)Juan Kang (3 shared papers)
- Journals
- Optical Fiber Technology (1 paper)Optical Engineering (1 paper)Journal of Lightwave Technology (1 paper)Sensors and Actuators B Chemical (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Binqing Wu
14 papers receiving 334 citations
Binqing Wu's Hit Papers
Peers
Comparison fields: 5 of 60
- Bioengineering 40
- Signal Processing 70
- Management Science and Operations Research 44
- Building and Construction 44
- Electrical and Electronic Engineering 164
Countries citing papers authored by Binqing Wu
This map shows the geographic impact of Binqing Wu'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 Binqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binqing Wu more than expected).
Fields of papers citing papers by Binqing Wu
This network shows the impact of papers produced by Binqing Wu. 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 Binqing Wu. The network helps show where Binqing Wu may publish in the future.
Co-authors
The 22 scholars most cited alongside Binqing Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting Hit paper breakdown → | 2023 | 137 |
| 2 | 2017 | 102 | |
| 3 | 2023 | 39 | |
| 4 | 2017 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2019 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2017 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2026 | 0 |
About Binqing Wu
Binqing Wu is a scholar working on Building and Construction, Environmental Engineering, Transportation, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (7 papers), Photonic and Optical Devices (4 papers), Air Quality Monitoring and Forecasting (3 papers), Traffic Prediction and Management Techniques (3 papers), Air Quality and Health Impacts (2 papers), Mechanical and Optical Resonators (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Bioengineering (40 citations), Signal Processing (70 citations), Management Science and Operations Research (44 citations), Building and Construction (44 citations) and Electrical and Electronic Engineering (164 citations). Binqing Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhao Chunliu, Ling Chen, Ben Xu, Yina Li, Donghui Chen, Bo Wen, Wei Zhang, Juan Kang, D. N. Wang and Sung Hun Kim. Their work appears in journals such as Optical Fiber Technology, Optical Engineering, Journal of Lightwave Technology, Sensors and Actuators B Chemical and ACM Transactions on Knowledge Discovery from Data.
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.