Ming Ni

44 total papers · 662 total citations
30 papers, 403 citations indexed

About

Ming Ni is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Physiology. According to data from OpenAlex, Ming Ni has authored 30 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 8 papers in Electrical and Electronic Engineering and 7 papers in Physiology. Recurrent topics in Ming Ni's work include Quantum and electron transport phenomena (9 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Ming Ni is often cited by papers focused on Quantum and electron transport phenomena (9 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Ming Ni collaborates with scholars based in China, United States and Romania. Ming Ni's co-authors include Jing Gao, Qing He, Zhenhua Zhang, Qiang Xie, Guilei Wang, Gang Cao, Feng Gao, Guo‐Ping Guo, Hai-Ou Li and Yuan Zhou and has published in prestigious journals such as Physical Review Letters, Nano Letters and Applied Physics Letters.

In The Last Decade

Ming Ni

27 papers receiving 376 citations

Hit Papers

A deep learning approach ... 2017 2026 2020 2023 2017 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
Ming Ni 132 104 65 58 58 30 403
Di Yang 48 0.4× 106 1.0× 32 0.5× 4 0.1× 14 0.2× 53 430
Yanhao Huang 20 0.2× 108 1.0× 20 0.3× 36 0.6× 159 2.7× 48 432
Xiwen Chen 53 0.4× 47 0.5× 5 0.1× 82 1.4× 65 1.1× 38 399
Huizhen Zhang 36 0.3× 54 0.5× 21 0.3× 12 0.2× 110 1.9× 52 421
Bo Fang 16 0.1× 154 1.5× 14 0.2× 7 0.1× 62 1.1× 50 426
Ulrich Fastenrath 185 1.4× 48 0.5× 180 2.8× 10 0.2× 41 0.7× 36 429
Qin Li 76 0.6× 36 0.3× 47 0.7× 6 0.1× 122 2.1× 34 358
Ejaz Ul Haq 32 0.2× 73 0.7× 6 0.1× 16 0.3× 207 3.6× 40 403
Yordan P. Raykov 50 0.4× 73 0.7× 15 0.2× 10 0.2× 74 1.3× 15 387
Ryo Yanase 23 0.2× 22 0.2× 10 0.2× 22 0.4× 44 0.8× 26 358

Countries citing papers authored by Ming Ni

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ni. A scholar is included among the top collaborators of Ming Ni 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 Ming Ni. Ming Ni 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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