Xia Sheng

3.9k citations
99 papers · 3.2k · 1 hit paper · h-index 28

Impact in

Papers in

Xia Sheng

97 papers receiving 3.1k citations

Xia Sheng's Hit Papers

Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks 2020 · 327 citations
3270+2+4Years since publication100200300

Peers

Xia Sheng
Comparison fields: 5 of 73
  • Renewable Energy, Sustainability and the Environment 971
  • Electrical and Electronic Engineering 1.3k
  • Surfaces, Coatings and Films 137
  • Materials Chemistry 592
  • Hardware and Architecture 114
Replace Joan Daniel Prades with:
Joan Daniel Prades Spain
Jinhua Hong China
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Zitao Chen China
Junho Lee South Korea
Michael Guillorn United States
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Xia Sheng relative to Joan Daniel Prades Spain Joan Daniel Prades's profile →
Citations per field
00.5×2×4×6.5×
Joan Daniel Prades · 1×
Citations per year

Countries citing papers authored by Xia Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
Hit paper breakdown →
2020327
2 2018242
3 2017228
4 2020144
5 2020140
6 2014131
7 2014127
8 199598
9 201998
10 201994
11 202091
12 199985
13 201979
14 201474
15 201769
16 200765
17 201654
18 201854
19 202253
20 201942

About Xia Sheng

Xia Sheng is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Hardware and Architecture, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include TiO2 Photocatalysis and Solar Cells (17 papers), Luminescence Properties of Advanced Materials (13 papers), Advanced Memory and Neural Computing (13 papers), Chalcogenide Semiconductor Thin Films (10 papers), Silicon Nanostructures and Photoluminescence (9 papers), Advanced Photocatalysis Techniques (7 papers), Photocathodes and Microchannel Plates (5 papers) and Electrocatalysts for Energy Conversion (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (971 citations), Electrical and Electronic Engineering (1.3k citations), Surfaces, Coatings and Films (137 citations), Materials Chemistry (592 citations) and Hardware and Architecture (114 citations). Xia Sheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinjian Feng, Lei Jiang, John Paul Strachan, Tao Xu, Can Li, Liping Chen, Zhen Liu, Catherine E. Graves, Nobuyoshi Koshida and Martin Foltín. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Chemical Communications, Journal of the American Chemical Society, Nature Communications and Optics Express.

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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