Liu Hon

20.4k citations
535 papers · 16.3k indexed · 6 hit papers · h-index 59

Liu Hon

508 papers receiving 16.0k citations

Hit Papers

Hierarchical de...2162006202620122019250500750

Peers

Liu Hon
Comparison fields: 5 of 179
  • Endocrine and Autonomic Systems 2.9k
  • Electronic, Optical and Magnetic Materials 6.1k
  • Developmental Neuroscience 565
  • Neurology 1.1k
  • Condensed Matter Physics 1.1k
Replace Takeshi Sakurai with:
Takeshi Sakurai Japan
Hiroshi Wada Japan
Feng Zhang China
Takeshi Kubota Japan
Kazuo Watanabe Japan
Hitoshi Hashimoto Japan
Zhe Ying United States
Shinji Ando Japan
Dongxian Zhang China
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Liu Hon relative to Takeshi Sakurai Japan Takeshi Sakurai's profile →
Citations per field
00.5×5.6×
Takeshi Sakurai · 1×
Citations per year

Countries citing papers authored by Liu Hon

Since Specialization
Citations

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

Fields of papers citing papers by Liu Hon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 202415
4 20243
5 20247
6 20241
7 20239
8 20232
9 20235
10 202346
11 202324
12 202313
13 20234
14 20236
15 20236
16 20231
17 20237
18 20236
19 201878
20 20122

About Liu Hon

Liu Hon is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, General Materials Science and Materials Chemistry, having authored 535 papers that have together received 16.3k indexed citations. Recurring topics across this work include Magnetic Properties of Alloys (221 papers), Magnetic properties of thin films (145 papers), Magnetic Properties and Applications (95 papers), Metallic Glasses and Amorphous Alloys (80 papers), Magnetic and transport properties of perovskites and related materials (79 papers), Rare-earth and actinide compounds (49 papers), Electromagnetic wave absorption materials (32 papers) and Multiferroics and related materials (31 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.9k citations), Electronic, Optical and Magnetic Materials (6.1k citations), Developmental Neuroscience (565 citations), Neurology (1.1k citations) and Condensed Matter Physics (1.1k citations). Liu Hon has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Michael Chopp, Xiao‐Bing Gao, Xichun Zhong, Tamás L. Horváth, Hongya Yu, R.V. Ramanujan, Jiayi He, Lizhong Zhao, Sabrina Diano and Yisheng Cui. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Journal of Alloys and Compounds, Journal of Applied Physics, Materials Letters and IEEE Transactions on Magnetics.

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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