Jun Ma

7.3k citations
145 papers · 1.9k indexed · h-index 22

Jun Ma

130 papers receiving 1.9k citations

Peers

Jun Ma
Comparison fields: 5 of 114
  • Condensed Matter Physics 813
  • Biomedical Engineering 722
  • Electrical and Electronic Engineering 818
  • Mechanics of Materials 331
  • Electronic, Optical and Magnetic Materials 247
Replace Michael Schneider with:
Michael Schneider Austria
In-Keun Yu South Korea
V.V. Rao India
Sandip Bhattacharya India
Chao Li China
Cheng‐Chien Kuo Taiwan
Diganta Das United States
Rui Ma United States
Liming Liu China
Jun Ma relative to Michael Schneider Austria Michael Schneider's profile →
Citations per field
00.5×3.6×
Michael Schneider · 1×
Citations per year

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20234
5 20227
6 202217
7 20229
8 20212
9 202119
10 202113
11 202114
12 20219
13 202017
14 201914
15 201917
16 201843
17 201839
18 201832
19 201720
20
REVIEW ON IMPROVEMENT TECHNIQUES OF MONTE CARLO SIMULATION AND THEIR DEVELOPMENT IN DERIVATIVE SECURITIES PRICING
20000

About Jun Ma

Jun Ma is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications and Electronic, Optical and Magnetic Materials, having authored 145 papers that have together received 1.9k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (47 papers), Superconducting Materials and Applications (43 papers), Superconductivity in MgB2 and Alloys (20 papers), Advanced Wireless Communication Techniques (16 papers), HVDC Systems and Fault Protection (13 papers), Error Correcting Code Techniques (10 papers), Frequency Control in Power Systems (10 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). The work is most often cited by research in Condensed Matter Physics (813 citations), Biomedical Engineering (722 citations), Electrical and Electronic Engineering (818 citations), Mechanics of Materials (331 citations) and Electronic, Optical and Magnetic Materials (247 citations). Jun Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tim Coombs, Jianzhao Geng, Boyang Shen, Hongbing Lu, Chao Li, James Gawith, Hema Viswanathan, Bing Wang, Gang Huang and Jiabin Yang. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Physica C Superconductivity, Medical Physics and IEEE Transactions on Circuits & Systems II Express Briefs.

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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