Caiwen Ding
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
-
- Adversarial Robustness in Machine Learning 14
- Topic Modeling 10
- Privacy-Preserving Technologies in Data 10
- Advanced Graph Neural Networks 10
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- Advanced Neural Network Applications 42
- Co-authors
- Yanzhi Wang (37 shared papers)Qinru Qiu (12 shared papers)Bo Yuan (12 shared papers)Zhe Li (11 shared papers)Ao Ren (13 shared papers)Xuehai Qian (8 shared papers)Ji Li (10 shared papers)Yun Liang (2 shared papers)
- Journals
- Microscopy and Microanalysis (3 papers)Scientific Reports (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Design and Test (2 papers)ACM SIGPLAN Notices (2 papers)
- Partner nations
- United StatesMexicoChina
In The Last Decade
Caiwen Ding
111 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Hardware and Architecture 223
- Computer Vision and Pattern Recognition 626
- Artificial Intelligence 851
- Computational Mathematics 14
- Computer Networks and Communications 350
Countries citing papers authored by Caiwen Ding
This map shows the geographic impact of Caiwen Ding'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 Caiwen Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiwen Ding more than expected).
Fields of papers citing papers by Caiwen Ding
This network shows the impact of papers produced by Caiwen Ding. 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 Caiwen Ding. The network helps show where Caiwen Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Caiwen Ding, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 162 | |
| 2 | 2020 | 139 | |
| 3 | 2017 | 109 | |
| 4 | 2021 | 79 | |
| 5 | 2019 | 79 | |
| 6 | 2018 | 68 | |
| 7 | 2017 | 64 | |
| 8 | 2017 | 52 | |
| 9 | 2021 | 43 | |
| 10 | 2017 | 43 | |
| 11 | 2023 | 39 | |
| 12 | 2022 | 38 | |
| 13 | 2018 | 37 | |
| 14 | 2021 | 36 | |
| 15 | 2017 | 34 | |
| 16 | 2020 | 30 | |
| 17 | 2018 | 30 | |
| 18 | 2020 | 26 | |
| 19 | 2021 | 24 | |
| 20 | 2018 | 23 |
About Caiwen Ding
Caiwen Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications, having authored 117 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (42 papers), Advanced Memory and Neural Computing (33 papers), Adversarial Robustness in Machine Learning (14 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Topic Modeling (10 papers), Privacy-Preserving Technologies in Data (10 papers), Advanced Graph Neural Networks (10 papers) and Advanced Battery Technologies Research (9 papers). The work is most often cited by research in Hardware and Architecture (223 citations), Computer Vision and Pattern Recognition (626 citations), Artificial Intelligence (851 citations), Computational Mathematics (14 citations) and Computer Networks and Communications (350 citations). Caiwen Ding has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Yanzhi Wang, Qinru Qiu, Bo Yuan, Zhe Li, Ao Ren, Xuehai Qian, Ji Li, Yun Liang, Ning Liu and Tong Geng. Their work appears in journals such as Microscopy and Microanalysis, Scientific Reports, IEEE Robotics and Automation Letters, IEEE Design and Test and ACM SIGPLAN Notices.
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.