Changyu Deng

572 citations
24 papers · 352 · h-index 8

Impact in

Papers in

Changyu Deng

21 papers receiving 349 citations

Peers

Changyu Deng
Comparison fields: 5 of 108
  • Health Informatics 7
  • Automotive Engineering 52
  • Civil and Structural Engineering 69
  • Surfaces, Coatings and Films 12
  • Computational Theory and Mathematics 27
Replace Dahui Liu with:
Dahui Liu China
Jiyong Chung South Korea
Étienne Lemaire France
Liwen Chen China
Xiaohong Sun China
Takeshi Hashimoto Japan
Rui Zhao China
Zhixin Zhang China
Peixin Chen China
Haotian Zhang China
Changyu Deng relative to Dahui Liu China Dahui Liu's profile →
Citations per field
00.5×3.0×
Dahui Liu · 1×
Citations per year

Countries citing papers authored by Changyu Deng

Since Specialization
Citations

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

Fields of papers citing papers by Changyu Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 202269
3 202047
4 201939
5 202213
6 202110
7 20248
8 20238
9 20186
10 20235
11 20184
12 20204
13 20233
14 20193
15
Deep-Learning-Enabled Simulated Annealing for Topology Optimization
20202
16 20232
17 20222
18 20252
19 20211
20 20231

About Changyu Deng

Changyu Deng is a scholar working on Electrical and Electronic Engineering, Civil and Structural Engineering, Materials Chemistry, Organic Chemistry and Automotive Engineering, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (3 papers), High-Voltage Power Transmission Systems (3 papers), Integrated Energy Systems Optimization (3 papers), Photopolymerization techniques and applications (2 papers), Innovative concrete reinforcement materials (2 papers), Concrete and Cement Materials Research (2 papers), High voltage insulation and dielectric phenomena (2 papers) and Antimicrobial agents and applications (2 papers). The work is most often cited by research in Health Informatics (7 citations), Automotive Engineering (52 citations), Civil and Structural Engineering (69 citations), Surfaces, Coatings and Films (12 citations) and Computational Theory and Mathematics (27 citations). Changyu Deng has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Wei Lu, Jianyu Zhang, Wei Lü, Can Qin, Ke Zhang, Jingwei Ying, Joon Sang Kang, Man Li, Ying Cui and Yongjie Hu. Their work appears in journals such as Polymers, iScience, Nature Communications, Applied Energy and Patterns.

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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