Chun‐Yan Ni

1.0k citations
37 papers · 882 indexed · h-index 16
Topics
Metal-Organic Frameworks: Synthesis and Applications (9 papers)Magnetism in coordination complexes (7 papers)COVID-19 and Mental Health (5 papers)
Journals
The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaSingaporeFrance

In The Last Decade

Chun‐Yan Ni

34 papers receiving 872 citations

Peers

Chun‐Yan Ni
Comparison fields: 5 of 116
  • Materials Chemistry 331
  • Inorganic Chemistry 331
  • Electronic, Optical and Magnetic Materials 214
  • Clinical Psychology 194
  • General Health Professions 120
Replace Lianke Wang with:
Lianke Wang China
Nicholas Taylor Australia
H. Féki Tunisia
E. Koch Germany
Daniela Pucci Italy
L.P. Spencer United Kingdom
Rajeev Kumar India
Brian Fitzgerald United States
Giovanni De Paoli Italy
Yukie Takemura Japan
Chun‐Yan Ni relative to Lianke Wang China Lianke Wang's profile →
Citations per field
00.5×4.6×
Lianke Wang · 1×
Citations per year

Countries citing papers authored by Chun‐Yan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Yan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Yan Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yan Ni. A scholar is included among the top collaborators of Chun‐Yan 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 Chun‐Yan Ni. Chun‐Yan Ni 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 8
2 3
3 7
4 20
5 27
6 199
7 13
8 1
9 32
10 65
11 1
12 16
13 20
14 2
15 50
16 15
17 7
18 31
19 5
20 17

About Chun‐Yan Ni

Chun‐Yan Ni is a scholar working on Inorganic Chemistry, Process Chemistry and Technology and Electronic, Optical and Magnetic Materials, having authored 37 papers that have together received 882 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (9 papers), Magnetism in coordination complexes (7 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Inorganic Chemistry (331 citations), Electronic, Optical and Magnetic Materials (214 citations) and Clinical Psychology (194 citations). Chun‐Yan Ni has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Jian‐Ping Lang, Zhi‐Gang Ren, Tianya Hou, Wenpeng Cai, Guanghui Deng, Aibin Chen, Taiquan Zhang, Xiangrui Song, Zhou Yang and Hong‐Xi Li. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

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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