Deyu Lu

3.7k citations
95 papers · 3.0k · h-index 28

Impact in

    • Machine Learning in Materials Science
    • Catalytic Processes in Materials Science
    • X-ray Diffraction in Crystallography
  • Catalysis top 5%

Papers in

Deyu Lu

93 papers receiving 3.0k citations

Peers

Deyu Lu
Comparison fields: 5 of 110
  • Materials Chemistry 1.4k
  • Catalysis 218
  • Atomic and Molecular Physics, and Optics 783
  • Radiation 172
  • Renewable Energy, Sustainability and the Environment 319
Replace Lars B. Hansen with:
Lars B. Hansen Denmark
W. A. Shelton United States
Reinhard J. Maurer United Kingdom
Christoph Scheurer Germany
Lixin Sun United States
Ville Havu Finland
P. Havu Finland
Patrick Z. El‐Khoury United States
Felix Hanke United Kingdom
Sergey V. Levchenko Germany
Deyu Lu relative to Lars B. Hansen Denmark Lars B. Hansen's profile →
Citations per field
00.5×4.2×
Lars B. Hansen · 1×
Citations per year

Countries citing papers authored by Deyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020288
2 2017253
3 2020140
4 2010137
5 2009127
6 2002126
7 2019103
8 201892
9 202092
10 201990
11 200984
12 200474
13 201768
14 200368
15 201766
16 202464
17 200664
18 200860
19 200455
20 200554

About Deyu Lu

Deyu Lu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering and Computational Theory and Mathematics, having authored 95 papers that have together received 3.0k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (19 papers), Advanced Chemical Physics Studies (13 papers), X-ray Diffraction in Crystallography (13 papers), Catalytic Processes in Materials Science (12 papers), Advancements in Battery Materials (9 papers), Computational Drug Discovery Methods (8 papers), Graphene research and applications (8 papers) and Advanced Battery Materials and Technologies (8 papers). The work is most often cited by research in Materials Chemistry (1.4k citations), Catalysis (218 citations), Atomic and Molecular Physics, and Optics (783 citations), Radiation (172 citations) and Renewable Energy, Sustainability and the Environment (319 citations). Deyu Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Giulia Galli, Mehmet Topsakal, Klaus Schulten, Dario Rocca, Anatoly I. Frenkel, Janis Timoshenko, Yuewei Lin, Matthew R. Carbone, Yan Li and Feng Wang. Their work appears in journals such as The Journal of Physical Chemistry C, The Journal of Chemical Physics, Physical Review Materials, Physical review. B. and Physical Review Letters.

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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