Siting Liu

77 papers receiving 1.2k citations

Peers

Siting Liu
Comparison fields: 5 of 129
  • Hardware and Architecture 132
  • Computer Networks and Communications 313
  • Water Science and Technology 144
  • Artificial Intelligence 315
  • Renewable Energy, Sustainability and the Environment 148
Replace Stefano Di Carlo with:
Stefano Di Carlo Italy
Raja Das India
Cheng Yi China
Miroslav Fikar Slovakia
Tae-Hyoung Kim South Korea
Antonio José Calderón Spain
Yuan-Fang Wang United States
Gabriele Pannocchia Italy
Hongyue Zhang China
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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 2020124
3 201781
4 201681
5 201876
6 201865
7 201742
8 202136
9 201730
10 201829
11 202126
12 202226
13 202126
14 201725
15 202224
16 202224
17 202021
18 202220
19 202220
20 202019

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 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (9 papers), Error Correcting Code Techniques (8 papers), Stochastic Gradient Optimization Techniques (5 papers), VLSI and Analog Circuit Testing (5 papers), Quantum Computing Algorithms and Architecture (4 papers), Advanced battery technologies research (4 papers), Navier-Stokes equation solutions (4 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Hardware and Architecture (132 citations), Computer Networks and Communications (313 citations), Water Science and Technology (144 citations), Artificial Intelligence (315 citations) and Renewable Energy, Sustainability and the Environment (148 citations). Siting Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Han, Fabrizio Lombardi, Yanzhi Wang, C. Pulgarín, Stefanos Giannakis, Michaël Bensimon, Sami Rtimi, Anna Carratalà, 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 Hazardous Materials and Journal of Power Sources.

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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