Xin Liang
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 31
-
- Advanced Data Storage Technologies 37
- Distributed systems and fault tolerance 9
- Distributed and Parallel Computing Systems 8
- Computational Mathematics top 10%
- Artificial Intelligence top 2%
- Algorithms and Data Compression 27
-
- Advanced Data Compression Techniques 13
-
- Radiation Effects in Electronics 8
-
- Scientific Computing and Data Management 6
- Journals
- IEEE Transactions on Computers (1 paper)IEEE Internet of Things Journal (1 paper)IEEE Transactions on Visualization and Computer Graphics (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xin Liang
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 536
- Computer Networks and Communications 684
- Computational Mathematics 13
- Computer Graphics and Computer-Aided Design 68
- Artificial Intelligence 575
Countries citing papers authored by Xin Liang
This map shows the geographic impact of Xin Liang'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 Xin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Liang more than expected).
Fields of papers citing papers by Xin Liang
This network shows the impact of papers produced by Xin Liang. 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 Xin Liang. The network helps show where Xin Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 86 | |
| 16 | 2021 | 17 | |
| 17 | FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. | 2020 | 1 |
| 18 | 2018 | 22 | |
| 19 | 2017 | 2 | |
| 20 | 2016 | 4 |
About Xin Liang
Xin Liang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (37 papers), Parallel Computing and Optimization Techniques (31 papers), Algorithms and Data Compression (27 papers), Advanced Data Compression Techniques (13 papers), Distributed systems and fault tolerance (9 papers), Radiation Effects in Electronics (8 papers), Distributed and Parallel Computing Systems (8 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Hardware and Architecture (536 citations), Computer Networks and Communications (684 citations) and Computational Mathematics (13 citations). Xin Liang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Franck Cappello, Zizhong Chen, Dingwen Tao, Sheng Di, Sihuan Li, Kai Zhao, Jieyang Chen, Hanqi Guo, Shaomeng Li and Sheng Di. Their work appears in journals such as IEEE Transactions on Computers, IEEE Internet of Things Journal and IEEE Transactions on Visualization and Computer Graphics.
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.