Lang Qin

52 total papers · 976 total citations
40 papers, 682 citations indexed

About

Lang Qin is a scholar working on Cognitive Neuroscience, Condensed Matter Physics and Biomedical Engineering. According to data from OpenAlex, Lang Qin has authored 40 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 13 papers in Condensed Matter Physics and 13 papers in Biomedical Engineering. Recurrent topics in Lang Qin's work include Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (12 papers) and Functional Brain Connectivity Studies (8 papers). Lang Qin is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Superconducting Materials and Applications (12 papers) and Functional Brain Connectivity Studies (8 papers). Lang Qin collaborates with scholars based in China, Hong Kong and United States. Lang Qin's co-authors include Jianhua Liu, Qiuliang Wang, Jia‐Hong Gao, Benzhe Zhou, Yinming Dai, Lei Wang, Kangshuai Wang, Yaohui Wang, Xinning Hu and Zili Zhang and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Lang Qin

37 papers receiving 648 citations

Hit Papers

World record 32.35 tesla ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lang Qin 325 311 169 169 100 40 682
Kôichi Yokosawa 144 0.4× 113 0.4× 202 1.2× 227 1.3× 91 0.9× 85 666
Riccardo Scorretti 91 0.3× 184 0.6× 49 0.3× 202 1.2× 119 1.2× 53 705
Gen Uehara 146 0.4× 80 0.3× 204 1.2× 134 0.8× 98 1.0× 91 670
L. Chang 53 0.2× 44 0.1× 312 1.8× 117 0.7× 40 0.4× 31 780
H. Ogata 82 0.3× 171 0.5× 53 0.3× 106 0.6× 78 0.8× 71 582
Jeong-Woo Sohn 56 0.2× 115 0.4× 282 1.7× 215 1.3× 185 1.9× 34 789
M. W. Bayerl 212 0.7× 38 0.1× 194 1.1× 266 1.6× 122 1.2× 24 784
Masanori Higuchi 35 0.1× 72 0.2× 355 2.1× 67 0.4× 37 0.4× 39 597
Susumu Miyake 77 0.2× 36 0.1× 80 0.5× 63 0.4× 38 0.4× 64 758
Masahiro Yamamoto 30 0.1× 164 0.5× 66 0.4× 89 0.5× 70 0.7× 35 689

Countries citing papers authored by Lang Qin

Since Specialization
Citations

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

Fields of papers citing papers by Lang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Qin. A scholar is included among the top collaborators of Lang Qin 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 Lang Qin. Lang Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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