Siting Liu

79 papers receiving 1.3k citations

Peers

Siting Liu
Comparison fields: 5 of 128
  • Hardware and Architecture 133
  • Computer Networks and Communications 325
  • Water Science and Technology 144
  • Artificial Intelligence 330
  • Renewable Energy, Sustainability and the Environment 151
Replace Stefano Di Carlo with:
Stefano Di Carlo Italy
Raja Das India
Cheng Yi China
Jingwen Wang China
Jifu Zhang China
Dan Zhang China
Antonio José Calderón Spain
Yuan-Fang Wang United States
Martin Horn Austria
Siting Liu relative to Stefano Di Carlo Italy Stefano Di Carlo's profile →
Citations per field
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Stefano Di Carlo · 1×
Citations per year

Countries citing papers authored by Siting Liu

Since Specialization
Citations

This map shows the geographic impact of Siting 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 Siting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siting Liu more than expected).

Fields of papers citing papers by Siting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siting 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 Siting Liu. The network helps show where Siting Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Siting Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siting Liu Line = papers co-authored together Siting Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020134
2 2017125
3 201784
4 201683
5 201878
6 201869
7 201743
8 202135
9 201832
10 201730
11 202227
12 202127
13 202227
14 201726
15 202126
16 202225
17 202223
18 202023
19 202421
20 202220

About Siting Liu

Siting Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (10 papers), Error Correcting Code Techniques (9 papers), Stochastic Gradient Optimization Techniques (5 papers), Low-power high-performance VLSI design (5 papers), Quantum Computing Algorithms and Architecture (5 papers), VLSI and Analog Circuit Testing (5 papers), Numerical methods in inverse problems (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Hardware and Architecture (133 citations), Computer Networks and Communications (325 citations), Water Science and Technology (144 citations), Artificial Intelligence (330 citations) and Renewable Energy, Sustainability and the Environment (151 citations). Siting Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Han, Fabrizio Lombardi, Yanzhi Wang, Michaël Bensimon, C. Pulgarín, Anna Carratalà, Stefanos Giannakis, Sami Rtimi, Bei Yu and Stanley Osher. Their work appears in journals such as Journal of Computational Physics, Research in the Mathematical Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Power Sources and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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.

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