Jia-Cai Nie

3.5k total citations
152 papers, 2.5k citations indexed

About

Jia-Cai Nie is a scholar working on Materials Chemistry, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jia-Cai Nie has authored 152 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Materials Chemistry, 64 papers in Condensed Matter Physics and 56 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jia-Cai Nie's work include Physics of Superconductivity and Magnetism (47 papers), Electronic and Structural Properties of Oxides (45 papers) and Magnetic and transport properties of perovskites and related materials (36 papers). Jia-Cai Nie is often cited by papers focused on Physics of Superconductivity and Magnetism (47 papers), Electronic and Structural Properties of Oxides (45 papers) and Magnetic and transport properties of perovskites and related materials (36 papers). Jia-Cai Nie collaborates with scholars based in China, Japan and Romania. Jia-Cai Nie's co-authors include Lin He, Ruifen Dou, H. Yamasaki, Lan Meng, Katherine Develos-Bagarinao, Wei Yan, Y. Nakagawa, C. M. Xiong, Zhongfan Liu and Yasunori Mawatari and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Jia-Cai Nie

141 papers receiving 2.4k citations

Peers

Jia-Cai Nie
Comparison fields: 5 of 80
  • Materials Chemistry 1.9k
  • Atomic and Molecular Physics, and Optics 780
  • Condensed Matter Physics 731
  • Electronic, Optical and Magnetic Materials 587
  • Electrical and Electronic Engineering 578
Fernando A. Reboredo United States
D. Pacilè Italy
Jingwei Jiang China
A. Kakanakova‐Georgieva Sweden
D. A. Kurdyukov Russia
A. Wysmołek Poland
Young Jun Chang South Korea
R. T. Senger Türkiye
Liuyan Zhao United States
Elena R. Margine United States
Fernando A. Reboredo United States View profile →
Citations per field, relative to Jia-Cai Nie
Jia-Cai Nie · 1×
Citations per year, relative to Jia-Cai Nie
Jia-Cai Nie · 1×

Countries citing papers authored by Jia-Cai Nie

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Cai Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Cai Nie. 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 Jia-Cai Nie. The network helps show where Jia-Cai Nie may publish in the future.

Co-authorship network of co-authors of Jia-Cai Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Cai Nie. A scholar is included among the top collaborators of Jia-Cai Nie 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 Jia-Cai Nie. Jia-Cai Nie 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
# Work Indexed citations
1 1
2 0
3 1
4 0
5 0
6 4
7 12
8 8
9 1
10 2
11 18
12 3
13 4
14 11
15 18
16 24
17 36
18 18
19 0
20
Two forms of Wien's displacement law
10

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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