Zining Wang
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Optical measurement and interference techniques 5
- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
-
- Remote Sensing and LiDAR Applications 6
- Co-authors
- Masayoshi Tomizuka (3 shared papers)Lijun Xu (6 shared papers)Xiaolu Li (6 shared papers)Wei Zhan (1 shared paper)Duan Li (4 shared papers)Alexander M. Milner (1 shared paper)Kieran Khamis (1 shared paper)Thomas J. Matthews (1 shared paper)
- Journals
- IEEE Sensors Journal (2 papers)Measurement (2 papers)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zining Wang
14 papers receiving 292 citations
Peers
Comparison fields: 5 of 65
- Instrumentation 61
- Environmental Engineering 98
- Geology 37
- Computer Vision and Pattern Recognition 116
- Nature and Landscape Conservation 45
Countries citing papers authored by Zining Wang
This map shows the geographic impact of Zining 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 Zining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zining Wang more than expected).
Fields of papers citing papers by Zining Wang
This network shows the impact of papers produced by Zining 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 Zining Wang. The network helps show where Zining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zining Wang, 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 | 2018 | 60 | |
| 2 | 2020 | 57 | |
| 3 | 2018 | 55 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 |
About Zining Wang
Zining Wang is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Instrumentation, Artificial Intelligence and Automotive Engineering, having authored 15 papers that have together received 297 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (6 papers), Optical measurement and interference techniques (5 papers), Advanced Optical Sensing Technologies (5 papers), Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Video Surveillance and Tracking Methods (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Instrumentation (61 citations), Environmental Engineering (98 citations), Geology (37 citations), Computer Vision and Pattern Recognition (116 citations) and Nature and Landscape Conservation (45 citations). Zining Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Masayoshi Tomizuka, Lijun Xu, Xiaolu Li, Wei Zhan, Duan Li, Alexander M. Milner, Kieran Khamis, Thomas J. Matthews, Thomas W. H. Aspin and Mark E. Ledger. Their work appears in journals such as IEEE Sensors Journal, Measurement, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.