Jinghe Wang
Impact in
- Computational Mechanics top 5%
- Laser Material Processing Techniques
- Aerospace Engineering top 5%
- Radar Systems and Signal Processing
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 14
- Co-authors
- Shi Jin (9 shared papers)Wei Yi (13 shared papers)Lingjiang Kong (12 shared papers)Xiao Li (8 shared papers)Mingjun Chen (3 shared papers)Kai Cheng (1 shared paper)Jian Cheng (13 shared papers)Chao-Kai Wen (3 shared papers)
- Journals
- Scientific Reports (5 papers)IEEE Transactions on Communications (2 papers)Applied Surface Science (2 papers)Optics Express (2 papers)International Journal of Circuit Theory and Applications (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jinghe Wang
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Computational Mechanics 191
- Aerospace Engineering 220
- General Engineering 9
- Plant Science 245
- Artificial Intelligence 177
Countries citing papers authored by Jinghe Wang
This map shows the geographic impact of Jinghe 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 Jinghe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinghe Wang more than expected).
Fields of papers citing papers by Jinghe Wang
This network shows the impact of papers produced by Jinghe 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 Jinghe Wang. The network helps show where Jinghe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinghe 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
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 201 | |
| 2 | 2007 | 78 | |
| 3 | 2021 | 76 | |
| 4 | 2017 | 66 | |
| 5 | 2020 | 59 | |
| 6 | 2018 | 55 | |
| 7 | 2022 | 47 | |
| 8 | 2024 | 43 | |
| 9 | 2021 | 41 | |
| 10 | 2023 | 37 | |
| 11 | 2022 | 31 | |
| 12 | 2017 | 30 | |
| 13 | 2011 | 28 | |
| 14 | 2021 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2023 | 25 | |
| 17 | 2019 | 21 | |
| 18 | 2010 | 21 | |
| 19 | 2021 | 19 | |
| 20 | 2023 | 19 |
About Jinghe Wang
Jinghe Wang is a scholar working on Artificial Intelligence, Mechanics of Materials, Aerospace Engineering, Computational Mechanics and Biomedical Engineering, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Laser Material Processing Techniques (12 papers), Advanced Surface Polishing Techniques (10 papers), Fault Detection and Control Systems (8 papers), Advanced Wireless Communication Technologies (7 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Ocular and Laser Science Research (6 papers) and Radar Systems and Signal Processing (6 papers). The work is most often cited by research in Computational Mechanics (191 citations), Aerospace Engineering (220 citations), General Engineering (9 citations), Plant Science (245 citations) and Artificial Intelligence (177 citations). Jinghe Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shi Jin, Wei Yi, Lingjiang Kong, Xiao Li, Mingjun Chen, Kai Cheng, Jian Cheng, Chao-Kai Wen, Raju Datla and Daoquan Xiang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Communications, Applied Surface Science, Optics Express and International Journal of Circuit Theory and Applications.
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.