Lan-Hong Dai

1.6k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Lan-Hong Dai is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Lan-Hong Dai has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 14 papers in Aerospace Engineering and 4 papers in Materials Chemistry. Recurrent topics in Lan-Hong Dai's work include High Entropy Alloys Studies (16 papers), High-Temperature Coating Behaviors (14 papers) and Additive Manufacturing Materials and Processes (8 papers). Lan-Hong Dai is often cited by papers focused on High Entropy Alloys Studies (16 papers), High-Temperature Coating Behaviors (14 papers) and Additive Manufacturing Materials and Processes (8 papers). Lan-Hong Dai collaborates with scholars based in China, United States and Australia. Lan-Hong Dai's co-authors include Cheng Wen, Yan Zhang, Yanjing Su, Yang Bai, Stoichko Antonov, Turab Lookman, Dezhen Xue, Changxin Wang, Yan Chen and Fuhua Cao and has published in prestigious journals such as Acta Materialia, Science Advances and Materials Science and Engineering A.

In The Last Decade

Lan-Hong Dai

19 papers receiving 1.2k citations

Hit Papers

Machine learning assisted design of high entropy alloys w... 2019 2026 2021 2023 2019 200 400 600

Peers

Lan-Hong Dai
Comparison fields: 5 of 55
  • Mechanical Engineering 1.0k
  • Aerospace Engineering 574
  • Materials Chemistry 458
  • Mechanics of Materials 214
  • Biomedical Engineering 109
Replace Prithiv Thoudden Sukumar with:
Prithiv Thoudden Sukumar Germany
Ziyuan Rao Germany
Julia Kundin Germany
Ziqiang Dong China
Ruiwen Xie Germany
Adam Creuziger United States
Thomas Dorin Australia
Yilun Gong United Kingdom
Ting Dai China
Prithiv Thoudden Sukumar Germany View profile →
Citations per field, relative to Lan-Hong Dai
Lan-Hong Dai · 1×
Citations per year, relative to Lan-Hong Dai
Lan-Hong Dai · 1×

Countries citing papers authored by Lan-Hong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lan-Hong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan-Hong Dai. 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 Lan-Hong Dai. The network helps show where Lan-Hong Dai may publish in the future.

Co-authorship network of co-authors of Lan-Hong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Lan-Hong Dai. A scholar is included among the top collaborators of Lan-Hong Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan-Hong Dai. Lan-Hong Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 3
5 2
6 1
7 10
8 73
9 5
10 18
11 22
12 31
13 56
14 0
15 15
16 29
17 87
18
Machine learning assisted design of high entropy alloys with desired property breakdown →
687
19 7
20 127

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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