Cheng Wen

2.5k citations
37 papers · 2.1k · 3 hit papers · h-index 16

Impact in

Papers in

Cheng Wen

33 papers receiving 2.0k citations

Cheng Wen's Hit Papers

Modeling solid solution strengthening in high entropy alloys using machine learning 2021 · 185 citations
1850+2+4Years since publication200400600

Peers

Cheng Wen
Comparison fields: 5 of 89
  • Metals and Alloys 118
  • Mechanical Engineering 1.2k
  • Materials Chemistry 1.0k
  • Aerospace Engineering 515
  • Biomedical Engineering 430
Replace Jianqiao Yang with:
Jianqiao Yang China
S. Sridhar United States
Prashant Singh United States
Cong Zhang China
A. Heinzel Germany
Tengfei Ma China
Taotao Li China
Yang Chen China
Jing Wei China
Meng Jiang China
Cheng Wen relative to Jianqiao Yang China Jianqiao Yang's profile →
Citations per field
00.5×1.5×2.3×
Jianqiao Yang · 1×
Citations per year

Countries citing papers authored by Cheng Wen

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning assisted design of high entropy alloys with desired property
Hit paper breakdown →
2019687
2
Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
Hit paper breakdown →
2019348
3 1977271
4
Modeling solid solution strengthening in high entropy alloys using machine learning
Hit paper breakdown →
2021185
5 202099
6 202172
7 202065
8 202049
9 202033
10 202033
11 202029
12 202423
13 202223
14 202221
15 202418
16 202417
17 202015
18 202015
19 202313
20 20208

About Cheng Wen

Cheng Wen is a scholar working on Materials Chemistry, Mechanical Engineering, Civil and Structural Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (11 papers), Corrosion Behavior and Inhibition (9 papers), Concrete Corrosion and Durability (8 papers), High-Temperature Coating Behaviors (7 papers), Additive Manufacturing Materials and Processes (5 papers), Concrete and Cement Materials Research (3 papers), High Temperature Alloys and Creep (3 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). The work is most often cited by research in Metals and Alloys (118 citations), Mechanical Engineering (1.2k citations), Materials Chemistry (1.0k citations), Aerospace Engineering (515 citations) and Biomedical Engineering (430 citations). Cheng Wen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yanjing Su, Dezhen Xue, Changxin Wang, Stoichko Antonov, Yang Bai, Turab Lookman, Yan Zhang, Lan-Hong Dai, Yan Zhang and Yan Zhang. Their work appears in journals such as Acta Materialia, npj Computational Materials, Journal of Material Science and Technology, Materials and Journal of Materials Science.

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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