Haichen Liu

762 citations
36 papers · 556 · 1 hit paper · h-index 10

Impact in

Papers in

Haichen Liu

33 papers receiving 546 citations

Haichen Liu's Hit Papers

A gated graph convolutional network with multi-sensor signals for remaining useful life prediction 2022 · 125 citations
1250+1+2Years since publication4080120

Peers

Haichen Liu
Comparison fields: 5 of 89
  • Analytical Chemistry 122
  • Medical Laboratory Technology 8
  • Mechanics of Materials 141
  • Geophysics 60
  • Control and Systems Engineering 104
Replace Chaohui Chen with:
Chaohui Chen China
Saeid Sadeghnejad Iran
Zhuang Zhuo China
Fengzhong Dong China
Bin Liang China
Thomas Boucher United States
Haichen Liu relative to Chaohui Chen China Chaohui Chen's profile →
Citations per field
00.5×1.5×2.3×
Chaohui Chen · 1×
Citations per year

Countries citing papers authored by Haichen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haichen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000165
2
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
Hit paper breakdown →
2022125
3 200045
4 201132
5 202221
6 202321
7 202217
8 20239
9 20229
10 20239
11 20019
12 20218
13 19998
14 19997
15 20227
16 20197
17 20246
18 19986
19 20226
20 20235

About Haichen Liu

Haichen Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanics of Materials, Atmospheric Science and Water Science and Technology, having authored 36 papers that have together received 556 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (11 papers), Multilevel Inverters and Converters (8 papers), Advanced DC-DC Converters (5 papers), HVDC Systems and Fault Protection (4 papers), Geochemistry and Geologic Mapping (4 papers), Geology and Paleoclimatology Research (3 papers), Geological and Geochemical Analysis (3 papers) and Laser-induced spectroscopy and plasma (3 papers). The work is most often cited by research in Analytical Chemistry (122 citations), Medical Laboratory Technology (8 citations), Mechanics of Materials (141 citations), Geophysics (60 citations) and Control and Systems Engineering (104 citations). Haichen Liu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xianglei Mao, O. V. Borisov, R. E. Russo, Hongrui Cao, Hao Xu, Lei Wang, Tiefu Zhao, Jiale Zhou, Richard E. Russo and Stephen Shuttleworth. Their work appears in journals such as Journal of Analytical Atomic Spectrometry, Powder Technology, Sustainability, Applied Surface Science and Water.

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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