Lanyi Wang

1.7k citations
61 papers · 1.3k · 1 hit paper · h-index 21

Impact in

Papers in

Lanyi Wang

58 papers receiving 1.2k citations

Lanyi Wang's Hit Papers

Physics-guided machine learning frameworks for fatigue life prediction of AM materials 2023 · 95 citations
950+1+2Years since publication255075

Peers

Lanyi Wang
Comparison fields: 5 of 66
  • Catalysis 630
  • Materials Chemistry 907
  • Renewable Energy, Sustainability and the Environment 289
  • Mechanical Engineering 429
  • Metals and Alloys 20
Replace Joakim Andersson with:
Joakim Andersson Sweden
Jun Shu China
А. З. Жук Russia
Liying Sun China
Shin‐Kun Ryi South Korea
Claudio Corgnale United States
Cevahir Tarhan Türkiye
Mehmet Ali Çil Türkiye
Hervé Barthélémy France
Andrzej Kołodziej Poland
Lanyi Wang relative to Joakim Andersson Sweden Joakim Andersson's profile →
Citations per field
00.5×1.5×2.3×
Joakim Andersson · 1×
Citations per year

Countries citing papers authored by Lanyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lanyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physics-guided machine learning frameworks for fatigue life prediction of AM materials
Hit paper breakdown →
202395
2 201991
3 202083
4 202271
5 202162
6 202457
7 202253
8 202152
9 202150
10 202343
11 202337
12 202332
13 200832
14 202330
15 202130
16 202230
17 202329
18 202427
19 202226
20 202523

About Lanyi Wang

Lanyi Wang is a scholar working on Materials Chemistry, Catalysis, Mechanical Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (51 papers), Catalysis and Oxidation Reactions (42 papers), Industrial Gas Emission Control (12 papers), Electrocatalysts for Energy Conversion (9 papers), Catalysis and Hydrodesulfurization Studies (8 papers), Non-Destructive Testing Techniques (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Zeolite Catalysis and Synthesis (4 papers). The work is most often cited by research in Catalysis (630 citations), Materials Chemistry (907 citations), Renewable Energy, Sustainability and the Environment (289 citations), Mechanical Engineering (429 citations) and Metals and Alloys (20 citations). Lanyi Wang has collaborated with scholars based in China, Hong Kong and Poland. Frequent co-authors include Zhen Zhao, Xuehua Yu, Di Yu, Jian Liu, Xiaoqiang Fan, Yuechang Wei, Shun‐Peng Zhu, Chunlei Zhang, Changqi Luo and Chao Peng. Their work appears in journals such as Applied Catalysis B: Environmental, Journal of Materials Chemistry A, ACS Catalysis, Catalysis Science & Technology and Catalysts.

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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