Honghai Song

1.9k citations
50 papers · 1.5k · h-index 25

Impact in

Papers in

Honghai Song

50 papers receiving 1.5k citations

Peers

Honghai Song
Comparison fields: 5 of 43
  • Condensed Matter Physics 1.2k
  • Biomedical Engineering 890
  • Electronic, Optical and Magnetic Materials 349
  • Control and Systems Engineering 380
  • Electrical and Electronic Engineering 622
Replace S. Hanai with:
S. Hanai Japan
Naoki Hirano Japan
U. Floegel-Delor Germany
R. Rothfeld Germany
Jianzhao Geng United Kingdom
D. Wippich Germany
Víctor M. R. Zermeño Germany
Hidekazu Teshima Japan
D.W. Hazelton United States
M. Strasik United States
Honghai Song relative to S. Hanai Japan S. Hanai's profile →
Citations per field
00.5×1.5×2.2×
S. Hanai · 1×
Citations per year

Countries citing papers authored by Honghai Song

Since Specialization
Citations

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

Fields of papers citing papers by Honghai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015131
2 2008123
3 200785
4 201376
5 201070
6 201767
7 200966
8 201262
9 200558
10 200357
11 200754
12 201651
13 201741
14 200939
15 200536
16 201534
17 200431
18 200627
19 200926
20 201026

About Honghai Song

Honghai Song is a scholar working on Condensed Matter Physics, Biomedical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (41 papers), Superconducting Materials and Applications (28 papers), Magnetic Bearings and Levitation Dynamics (15 papers), Superconductivity in MgB2 and Alloys (9 papers), Magnetic and transport properties of perovskites and related materials (8 papers), HVDC Systems and Fault Protection (6 papers), Magnetic confinement fusion research (6 papers) and Frequency Control in Power Systems (6 papers). The work is most often cited by research in Condensed Matter Physics (1.2k citations), Biomedical Engineering (890 citations), Electronic, Optical and Magnetic Materials (349 citations), Control and Systems Engineering (380 citations) and Electrical and Electronic Engineering (622 citations). Honghai Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include J. Schwartz, Yawei Wang, Zhijian Jin, Xiaorong Wang, Jiasu Wang, Kevin J. Gagnon, Suyu Wang, Zhiyong Hong, Jun Zheng and Frank Hunte. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Physica C Superconductivity, Journal of Applied Physics and Applied Physics Letters.

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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