Dingchen Wang
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
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- Neural Networks and Reservoir Computing
Papers in ⓘ
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- Optical Network Technologies 13
- Photonic Crystal and Fiber Optics 10
- Advanced Memory and Neural Computing 10
- Advanced Fiber Optic Sensors 7
- Advanced Photonic Communication Systems 5
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- Neural Networks and Reservoir Computing 8
- Co-authors
- Licheng Jiao (2 shared papers)Jing Bai (2 shared papers)Hongbo Jiang (1 shared paper)Huaji Zhou (1 shared paper)Zhu Xiao (2 shared papers)Yin Zhang (7 shared papers)Xi Chen (6 shared papers)Zhongrui Wang (10 shared papers)
In The Last Decade
Dingchen Wang
32 papers receiving 299 citations
Peers
Comparison fields: 5 of 51
- Media Technology 30
- Artificial Intelligence 88
- Electrical and Electronic Engineering 144
- Electronic, Optical and Magnetic Materials 45
- Cognitive Neuroscience 32
Countries citing papers authored by Dingchen Wang
This map shows the geographic impact of Dingchen 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 Dingchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingchen Wang more than expected).
Fields of papers citing papers by Dingchen Wang
This network shows the impact of papers produced by Dingchen 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 Dingchen Wang. The network helps show where Dingchen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingchen 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2023 | 54 | |
| 3 | 2020 | 29 | |
| 4 | 2022 | 27 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Dingchen Wang
Dingchen Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Bioengineering, having authored 40 papers that have together received 315 indexed citations. Recurring topics across this work include Optical Network Technologies (13 papers), Photonic Crystal and Fiber Optics (10 papers), Advanced Memory and Neural Computing (10 papers), Neural Networks and Reservoir Computing (8 papers), Advanced Fiber Optic Sensors (7 papers), Magnetic properties of thin films (6 papers), Advanced Photonic Communication Systems (5 papers) and Magnetic and transport properties of perovskites and related materials (3 papers). The work is most often cited by research in Media Technology (30 citations), Artificial Intelligence (88 citations), Electrical and Electronic Engineering (144 citations), Electronic, Optical and Magnetic Materials (45 citations) and Cognitive Neuroscience (32 citations). Dingchen Wang has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Licheng Jiao, Jing Bai, Hongbo Jiang, Huaji Zhou, Zhu Xiao, Yin Zhang, Xi Chen, Zhongrui Wang, Sen Yang and Dashan Shang. Their work appears in journals such as Optics Express, Optical Fiber Technology, Tribology International, Advanced Science and Optics & Laser Technology.
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.