An Chen

1.6k citations
65 papers · 1.2k · h-index 20

Impact in

Papers in

    • Advanced Memory and Neural Computing 7
    • Advancements in Battery Materials 7
    • Advanced Battery Materials and Technologies 5
    • Perovskite Materials and Applications 5
    • Machine Learning in Materials Science 11
    • 2D Materials and Applications 7
    • Electronic and Structural Properties of Oxides 6
    • MXene and MAX Phase Materials 6

An Chen

62 papers receiving 1.2k citations

Peers

An Chen
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 633
  • Obstetrics and Gynecology 57
  • Materials Chemistry 376
  • Hardware and Architecture 48
  • Cellular and Molecular Neuroscience 119
Replace Yating Zhu with:
Yating Zhu China
So Young Park South Korea
Hae‐Seung Lee United States
Dongsheng Ma United States
Maguy Abi Jaoudé United Arab Emirates
Can Cao China
Yujie Huang China
Haiyan Wang China
An Chen relative to Yating Zhu China Yating Zhu's profile →
Citations per field
00.5×10×20×28.5×
Yating Zhu · 1×
Citations per year

Countries citing papers authored by An Chen

Since Specialization
Citations

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

Fields of papers citing papers by An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006152
2 2011109
3 201881
4 201957
5 202355
6 202450
7 201749
8 201939
9 200639
10 200837
11 202336
12 202235
13 201332
14 202130
15 202326
16 202526
17 202224
18 202520
19 202220
20 202219

About An Chen

An Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Mechanical Engineering and Biomedical Engineering, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), 2D Materials and Applications (7 papers), Advanced Memory and Neural Computing (7 papers), Advancements in Battery Materials (7 papers), Electronic and Structural Properties of Oxides (6 papers), MXene and MAX Phase Materials (6 papers), Advanced Battery Materials and Technologies (5 papers) and Perovskite Materials and Applications (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (633 citations), Obstetrics and Gynecology (57 citations), Materials Chemistry (376 citations), Hardware and Architecture (48 citations) and Cellular and Molecular Neuroscience (119 citations). An Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming-Ren Lin, Jinjin Li, Zhilong Wang, Yanqiang Han, Kehao Tao, Junfei Cai, S. Haddad, Yi-Ching Wu, Wei Cai and M. Taguchi. Their work appears in journals such as Nature Communications, Advanced Materials, Journal of Energy Chemistry, ACS Nano and European Radiology.

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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