Junda Wang
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geology top 5%
- Geological and Geophysical Studies
Papers in
-
- Geomagnetism and Paleomagnetism Studies 5
- Co-authors
- Huamei Li (6 shared papers)A. Patzelt (1 shared paper)Erwin Appel (1 shared paper)Decheng Wang (1 shared paper)Xiangning Chen (1 shared paper)William Lowrie (1 shared paper)Friedrich Heller (1 shared paper)Yanyan Li (1 shared paper)
- Journals
- ACS Sensors (2 papers)Tectonophysics (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)Chinese Geographical Science (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Junda Wang
39 papers receiving 854 citations
Peers
Comparison fields: 5 of 132
- Geophysics 261
- Geology 94
- Paleontology 114
- Media Technology 103
- Atmospheric Science 162
Countries citing papers authored by Junda Wang
This map shows the geographic impact of Junda 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 Junda Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junda Wang more than expected).
Fields of papers citing papers by Junda Wang
This network shows the impact of papers produced by Junda 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 Junda Wang. The network helps show where Junda Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junda 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 227 | |
| 2 | 2021 | 126 | |
| 3 | 1988 | 79 | |
| 4 | 2021 | 57 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 34 | |
| 7 | 1994 | 29 | |
| 8 | 2024 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 1989 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 1998 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 11 |
About Junda Wang
Junda Wang is a scholar working on Molecular Biology, Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering and Geology, having authored 42 papers that have together received 897 indexed citations. Recurring topics across this work include Geological and Geophysical Studies (6 papers), Geomagnetism and Paleomagnetism Studies (5 papers), Paleontology and Stratigraphy of Fossils (4 papers), Electromagnetic Compatibility and Noise Suppression (4 papers), Advanced machining processes and optimization (3 papers), 3D IC and TSV technologies (3 papers), Electronic Packaging and Soldering Technologies (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Geophysics (261 citations), Geology (94 citations), Paleontology (114 citations), Media Technology (103 citations) and Atmospheric Science (162 citations). Junda Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huamei Li, A. Patzelt, Erwin Appel, Decheng Wang, Xiangning Chen, William Lowrie, Friedrich Heller, Yanyan Li, Wengang Fan and Jiebo Luo. Their work appears in journals such as ACS Sensors, Tectonophysics, The International Journal of Advanced Manufacturing Technology, Chinese Geographical Science and Engineering Applications of Artificial Intelligence.
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.