Weichen Liu

3.3k citations
203 papers · 2.5k · h-index 27

Impact in

Papers in

Weichen Liu

188 papers receiving 2.5k citations

Peers

Weichen Liu
Comparison fields: 5 of 116
  • Hardware and Architecture 752
  • Computer Networks and Communications 939
  • Electrical and Electronic Engineering 1.3k
  • Transportation 97
  • Artificial Intelligence 441
Replace Chung‐Wei Lin with:
Chung‐Wei Lin Taiwan
Oliver Bringmann Germany
Goran Konjevod United States
Zhen Liu China
Feng Liang China
Teresa Riesgo Spain
Naehyuck Chang South Korea
Lúıs Almeida Portugal
Hongbin Sun China
Sérgio Bampi Brazil
Weichen Liu relative to Chung‐Wei Lin Taiwan Chung‐Wei Lin's profile →
Citations per field
00.5×10×16×
Chung‐Wei Lin · 1×
Citations per year

Countries citing papers authored by Weichen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weichen 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 Weichen Liu Line = papers co-authored together Weichen Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018151
2 201099
3 202097
4 201196
5 201388
6 201968
7 201265
8 201063
9 201460
10 201250
11 201249
12 201448
13 201846
14 201346
15 201945
16 200839
17 201439
18 201037
19 201736
20 201832

About Weichen Liu

Weichen Liu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 203 papers that have together received 2.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (63 papers), Interconnection Networks and Systems (58 papers), Photonic and Optical Devices (34 papers), Advanced Neural Network Applications (25 papers), Embedded Systems Design Techniques (24 papers), Real-Time Systems Scheduling (24 papers), Optical Network Technologies (24 papers) and Advanced Memory and Neural Computing (23 papers). The work is most often cited by research in Hardware and Architecture (752 citations), Computer Networks and Communications (939 citations), Electrical and Electronic Engineering (1.3k citations), Transportation (97 citations) and Artificial Intelligence (441 citations). Weichen Liu has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Jiang Xu, Yaoyao Ye, Xiaowen Wu, Wei Zhang, Nan Guan, Mahdi Nikdast, Xuan Wang, Liang Feng, Lei Yang and Mengquan Li. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Parallel and Distributed 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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