Jun‐Ling Song

4.0k citations
115 papers · 3.6k · h-index 33

Impact in

Papers in

Jun‐Ling Song

111 papers receiving 3.6k citations

Peers

Jun‐Ling Song
Comparison fields: 5 of 92
  • Inorganic Chemistry 1.4k
  • Industrial and Manufacturing Engineering 613
  • Electronic, Optical and Magnetic Materials 1.2k
  • Renewable Energy, Sustainability and the Environment 777
  • Materials Chemistry 2.1k
Replace Hongming Yuan with:
Hongming Yuan China
Zi‐Yi Du China
Olivier Mentré France
Hong‐Bin Du China
Song‐De Han China
Song‐Song Bao China
Pierre Rabu France
Kazuya Otsubo Japan
Steven W. Keller United States
Shouhua Feng China
Jun‐Ling Song relative to Hongming Yuan China Hongming Yuan's profile →
Citations per field
00.5×1.5×2.4×
Hongming Yuan · 1×
Citations per year

Countries citing papers authored by Jun‐Ling Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ling Song. 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 Jun‐Ling Song. The network helps show where Jun‐Ling Song may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun‐Ling Song, 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 Jun‐Ling Song Line = papers co-authored together Jun‐Ling Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009302
2 2015270
3 2004152
4 2004141
5 2012136
6 2011131
7 2005125
8 200494
9 200993
10 201982
11 200674
12 202072
13 201270
14 201065
15 200364
16 200660
17 200653
18 201552
19 200952
20 201652

About Jun‐Ling Song

Jun‐Ling Song is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Inorganic Chemistry and Electronic, Optical and Magnetic Materials, having authored 115 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (30 papers), Advanced Photocatalysis Techniques (26 papers), Chemical Synthesis and Characterization (25 papers), Electrocatalysts for Energy Conversion (22 papers), Crystal Structures and Properties (21 papers), Advanced battery technologies research (19 papers), TiO2 Photocatalysis and Solar Cells (11 papers) and Perovskite Materials and Applications (10 papers). The work is most often cited by research in Inorganic Chemistry (1.4k citations), Industrial and Manufacturing Engineering (613 citations), Electronic, Optical and Magnetic Materials (1.2k citations), Renewable Energy, Sustainability and the Environment (777 citations) and Materials Chemistry (2.1k citations). Jun‐Ling Song has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiang‐Gao Mao, Wei Deng, Fang Kong, Chun‐Li Hu, Xiang Xu, Chong Lei, An Li, Shuhao Wen, Yan‐Qiong Sun and Si‐Fu Tang. Their work appears in journals such as Journal of Solid State Chemistry, Inorganic Chemistry, New Journal of Chemistry, Dalton Transactions and CrystEngComm.

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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