Hailin Chen

1.7k citations
67 papers · 1.3k · h-index 21

Impact in

Papers in

Hailin Chen

66 papers receiving 1.2k citations

Peers

Hailin Chen
Comparison fields: 5 of 123
  • General Materials Science 78
  • Cancer Research 337
  • Computational Theory and Mathematics 206
  • Mechanical Engineering 354
  • Molecular Biology 537
Replace M. N. Zakharov with:
M. N. Zakharov Russia
Makoto Tanaka Japan
Yutaka Ikeda Japan
Fuhao Zhang China
Weiping Ye China
Xu Han China
Jiaxuan Huang China
Chang Woo Lee South Korea
Li Wen China
Hailin Chen relative to M. N. Zakharov Russia M. N. Zakharov's profile →
Citations per field
00.5×10×15×21.1×
M. N. Zakharov · 1×
Citations per year

Countries citing papers authored by Hailin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hailin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 201399
3 201563
4 200859
5 202057
6 200950
7 200648
8 200947
9 200645
10 201743
11 201342
12 202038
13 200533
14 200832
15 202331
16 202231
17 200731
18 200728
19 202226
20 202124

About Hailin Chen

Hailin Chen is a scholar working on Molecular Biology, Mechanical Engineering, Cancer Research, Materials Chemistry and General Materials Science, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Intermetallics and Advanced Alloy Properties (13 papers), Cancer-related molecular mechanisms research (8 papers), Metallurgical and Alloy Processes (8 papers), Aluminum Alloy Microstructure Properties (6 papers), Circular RNAs in diseases (6 papers), Quasicrystal Structures and Properties (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in General Materials Science (78 citations), Cancer Research (337 citations), Computational Theory and Mathematics (206 citations), Mechanical Engineering (354 citations) and Molecular Biology (537 citations). Hailin Chen has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Zuping Zhang, Yong Du, Honghui Xu, Julius C. Schuster, Vincent VanBuren, Cuiyun He, Wei Xiong, Daniel C. Jupiter, Shuhong Liu and Bo Yang. Their work appears in journals such as BMC Bioinformatics, Briefings in Bioinformatics, Journal of Alloys and Compounds, Calphad and IEEE Access.

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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