Junping Wang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Domain Adaptation and Few-Shot Learning 3
- Data Stream Mining Techniques 3
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- IoT and Edge/Fog Computing 3
- Co-authors
- Zhangbing Zhou (3 shared papers)Jiajia Zhang (1 shared paper)Liangbao Yang (4 shared papers)Pan Li (4 shared papers)Yan Ma (1 shared paper)Walid Gaaloul (1 shared paper)Dewen Wang (5 shared papers)Haohong Chen (2 shared papers)
- Journals
- Analytical and Bioanalytical Chemistry (2 papers)Analytical Chemistry (2 papers)Personal and Ubiquitous Computing (2 papers)IEEE Access (2 papers)Ceramics International (1 paper)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Junping Wang
30 papers receiving 342 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 32
- Behavioral Neuroscience 15
- Computer Networks and Communications 86
- Neurology 28
- Electronic, Optical and Magnetic Materials 49
Countries citing papers authored by Junping Wang
This map shows the geographic impact of Junping 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 Junping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junping Wang more than expected).
Fields of papers citing papers by Junping Wang
This network shows the impact of papers produced by Junping 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 Junping Wang. The network helps show where Junping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junping 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2020 | 35 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 29 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 26 | |
| 7 | 2013 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2015 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2015 | 3 |
About Junping Wang
Junping Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electronic, Optical and Magnetic Materials, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 33 papers that have together received 350 indexed citations. Recurring topics across this work include Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Tryptophan and brain disorders (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), IoT and Edge/Fog Computing (3 papers), Glass properties and applications (3 papers), Data Stream Mining Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Magneto-Optical Properties and Applications (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Behavioral Neuroscience (15 citations), Computer Networks and Communications (86 citations), Neurology (28 citations) and Electronic, Optical and Magnetic Materials (49 citations). Junping Wang has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Zhangbing Zhou, Jiajia Zhang, Liangbao Yang, Pan Li, Yan Ma, Walid Gaaloul, Dewen Wang, Haohong Chen, Shiwei Wang and Mu Wang. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Analytical Chemistry, Personal and Ubiquitous Computing, IEEE Access and Ceramics International.
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.