Junqi Yin

2.4k citations
59 papers · 1.2k indexed · h-index 18
Topics
High Entropy Alloys Studies (11 papers)Machine Learning in Materials Science (8 papers)High-Temperature Coating Behaviors (6 papers)
Journals
Nature CommunicationsThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología

In The Last Decade

Junqi Yin

55 papers receiving 1.2k citations

Peers

Junqi Yin
Comparison fields: 5 of 135
  • Mechanical Engineering 388
  • Materials Chemistry 305
  • Molecular Biology 226
  • Aerospace Engineering 220
  • Ecology 186
Replace Jinxiu Zhang with:
Jinxiu Zhang China
Fang Liu China
Han Wang China
Arne J. Pearlstein United States
Kexue Li China
Seppo Karrila Thailand
Giuseppe Romano United States
J. L. Smith United States
Guangcai Zhang China
Xiaolin Chen China
Junqi Yin relative to Jinxiu Zhang China Jinxiu Zhang's profile →
Citations per field
00.5×
Jinxiu Zhang · 1×
Citations per year

Countries citing papers authored by Junqi Yin

Since Specialization
Citations

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

Fields of papers citing papers by Junqi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqi Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Junqi Yin. A scholar is included among the top collaborators of Junqi Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junqi Yin. Junqi Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 7
4 8
5 0
6 2
7 3
8 1
9 2
10 8
11 2
12 9
13 59
14 18
15 3
16 35
17 8
18 160
19
First principles calculation of finite temperature magnetism in Ni
1
20 6

About Junqi Yin

Junqi Yin is a scholar working on Health Informatics, Hardware and Architecture and Information Systems and Management, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (11 papers), Machine Learning in Materials Science (8 papers) and High-Temperature Coating Behaviors (6 papers). The work is most often cited by research in Mechanical Engineering (388 citations), Aerospace Engineering (220 citations) and Metals and Alloys (20 citations). Junqi Yin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Zongrui Pei, Lonnie D. Crosby, Karen G. Lloyd, Joshua Ladau, Andrew D. Steen, D. P. Landau, Michael C. Gao, Markus Eisenbach, David E. Alman and Jeffrey A. Hawk. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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