Junwei Cheng
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Reservoir Computing
- Advanced Graph Neural Networks
Papers in
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- Neural Networks and Reservoir Computing 17
- Advanced Graph Neural Networks 10
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- Complex Network Analysis Techniques 10
- Nonlinear Waves and Solitons 2
- Co-authors
- Jianji Dong (20 shared papers)Hailong Zhou (17 shared papers)Xinliang Zhang (16 shared papers)Wenchan Dong (3 shared papers)Yichen Shen (1 shared paper)Zhichao Ruan (1 shared paper)Chaoran Huang (1 shared paper)Miṅ Gu (1 shared paper)
- Journals
- ACS Photonics (3 papers)Photonics Research (3 papers)Nanophotonics (2 papers)Environmental Science and Pollution Research (2 papers)Neurocomputing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junwei Cheng
55 papers receiving 842 citations
Junwei Cheng's Hit Papers
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 628
- Acoustics and Ultrasonics 11
- Statistical and Nonlinear Physics 54
- Electrical and Electronic Engineering 228
- Pollution 40
Countries citing papers authored by Junwei Cheng
This map shows the geographic impact of Junwei Cheng'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 Junwei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Cheng more than expected).
Fields of papers citing papers by Junwei Cheng
This network shows the impact of papers produced by Junwei Cheng. 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 Junwei Cheng. The network helps show where Junwei Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Cheng, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Photonic matrix multiplication lights up photonic accelerator and beyond Hit paper breakdown → | 2022 | 398 |
| 2 | 2021 | 52 | |
| 3 | 2022 | 52 | |
| 4 | 2022 | 44 | |
| 5 | 2023 | 39 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 28 | |
| 8 | 2023 | 28 | |
| 9 | 2024 | 28 | |
| 10 | 2023 | 19 | |
| 11 | 2006 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2024 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2023 | 8 |
About Junwei Cheng
Junwei Cheng is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Pollution, Electrical and Electronic Engineering and Geophysics, having authored 61 papers that have together received 957 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (17 papers), Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (10 papers), Heavy metals in environment (7 papers), Photonic and Optical Devices (5 papers), Nonlinear Waves and Solitons (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Advanced Photonic Communication Systems (2 papers). The work is most often cited by research in Artificial Intelligence (628 citations), Acoustics and Ultrasonics (11 citations), Statistical and Nonlinear Physics (54 citations), Electrical and Electronic Engineering (228 citations) and Pollution (40 citations). Junwei Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianji Dong, Hailong Zhou, Xinliang Zhang, Wenchan Dong, Yichen Shen, Zhichao Ruan, Chaoran Huang, Miṅ Gu, Qiming Zhang and HongSheng Chen. Their work appears in journals such as ACS Photonics, Photonics Research, Nanophotonics, Environmental Science and Pollution Research and Neurocomputing.
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.