Daniel Liu
Impact in
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- Advanced Optical Sensing Technologies
Papers in
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- Algorithms and Data Compression 4
- Machine Learning and Algorithms 2
- Adversarial Robustness in Machine Learning 2
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- 3D IC and TSV technologies 2
- Electronic Packaging and Soldering Technologies 2
- Co-authors
- Ronald Yu (2 shared papers)Hao Su (1 shared paper)Michael P. Fitz (1 shared paper)Ana J. Coito (1 shared paper)Ronald W. Busuttil (1 shared paper)Sergio Duarte (1 shared paper)Hiroyuki Kato (1 shared paper)Martin Steinegger (1 shared paper)
- Journals
- PeerJ (2 papers)American Journal of Pharmaceutical Education (1 paper)Proceedings of the VLDB Endowment (1 paper)Bioinformatics (1 paper)Algorithms for Molecular Biology (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Daniel Liu
21 papers receiving 212 citations
Peers
Comparison fields: 5 of 76
- Instrumentation 18
- Computer Graphics and Computer-Aided Design 12
- Health Informatics 4
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Daniel Liu
This map shows the geographic impact of Daniel Liu'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 Daniel Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Liu more than expected).
Fields of papers citing papers by Daniel Liu
This network shows the impact of papers produced by Daniel Liu. 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 Daniel Liu. The network helps show where Daniel Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Liu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2015 | 27 | |
| 3 | 2019 | 14 | |
| 4 | 2006 | 14 | |
| 5 | 2006 | 9 | |
| 6 | 2023 | 8 | |
| 7 | Adversarial point perturbations on 3D objects | 2019 | 6 |
| 8 | 2009 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2011 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2019 | 3 | |
| 13 | Simulation model of Pacinian corpuscle for haptic system design | 2011 | 3 |
| 14 | 2018 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 2 | |
| 17 | System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. | 2019 | 1 |
| 18 | 2025 | 1 | |
| 19 | Epoxy toughening with nano-sized amphiphilic block copolymer micelles | 2013 | 1 |
| 20 | 2011 | 1 |
About Daniel Liu
Daniel Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications and Management Science and Operations Research, having authored 22 papers that have together received 217 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning and Algorithms (2 papers), 3D IC and TSV technologies (2 papers), Adversarial Robustness in Machine Learning (2 papers), VLSI and Analog Circuit Testing (2 papers), Electronic Packaging and Soldering Technologies (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Instrumentation (18 citations), Computer Graphics and Computer-Aided Design (12 citations), Health Informatics (4 citations), Artificial Intelligence (93 citations) and Computer Vision and Pattern Recognition (37 citations). Daniel Liu has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Ronald Yu, Hao Su, Michael P. Fitz, Ana J. Coito, Ronald W. Busuttil, Sergio Duarte, Hiroyuki Kato, Martin Steinegger, Shanchieh Jay Yang and Hao Su. Their work appears in journals such as PeerJ, American Journal of Pharmaceutical Education, Proceedings of the VLDB Endowment, Bioinformatics and Algorithms for Molecular Biology.
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.