Meng‐Lin Yang

2.6k citations
111 papers · 2.0k · h-index 25

Impact in

Papers in

Meng‐Lin Yang

98 papers receiving 2.0k citations

Peers

Meng‐Lin Yang
Comparison fields: 5 of 133
  • Inorganic Chemistry 1.0k
  • Electronic, Optical and Magnetic Materials 663
  • Physical and Theoretical Chemistry 131
  • Materials Chemistry 665
  • Oncology 330
Replace Caixia Yuan with:
Caixia Yuan China
Kaushik Ghosh India
Zhida Chen China
Wenjing Zhang China
Yue Yang China
Claudio Greco Italy
Philippe Meunier France
R. Venkataraghavan India
Zhong‐Feng Li China
Meng‐Lin Yang relative to Caixia Yuan China Caixia Yuan's profile →
Citations per field
00.5×6.0×
Caixia Yuan · 1×
Citations per year

Countries citing papers authored by Meng‐Lin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Lin Yang. 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 Meng‐Lin Yang. The network helps show where Meng‐Lin Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Meng‐Lin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng‐Lin Yang Line = papers co-authored together Meng‐Lin Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016141
2 2007128
3 200884
4 201480
5 201680
6 200968
7 201264
8 202263
9 200758
10 201558
11 201154
12 201252
13 202251
14 201650
15 202245
16 200842
17 202236
18 201231
19 201626
20 201426

About Meng‐Lin Yang

Meng‐Lin Yang is a scholar working on Inorganic Chemistry, Electronic, Optical and Magnetic Materials, Materials Chemistry, Artificial Intelligence and Oncology, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (38 papers), Magnetism in coordination complexes (32 papers), Crystal structures of chemical compounds (14 papers), Advanced Graph Neural Networks (13 papers), Metal complexes synthesis and properties (13 papers), Lanthanide and Transition Metal Complexes (12 papers), Nanoplatforms for cancer theranostics (6 papers) and Crystallography and molecular interactions (5 papers). The work is most often cited by research in Inorganic Chemistry (1.0k citations), Electronic, Optical and Magnetic Materials (663 citations), Physical and Theoretical Chemistry (131 citations), Materials Chemistry (665 citations) and Oncology (330 citations). Meng‐Lin Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huai‐Ming Hu, Ganglin Xue, Irwin King, Fa‐Xin Dong, Qing‐Ran Wu, Bing Xu, Lei Gou, Ji‐Jiang Wang, Xiaoli Chen and Feng Fu. Their work appears in journals such as Inorganica Chimica Acta, Polyhedron, Journal of Solid State Chemistry, CrystEngComm and Ceramics International.

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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