Songlin Li

8.1k citations
196 papers · 6.7k indexed · 3 hit papers · h-index 36

Songlin Li

182 papers receiving 6.6k citations

Hit Papers

Efficient Perovskite/S...1252015202620182022100200300400

Peers

Songlin Li
Comparison fields: 5 of 144
  • Materials Chemistry 4.5k
  • Electrical and Electronic Engineering 3.5k
  • Polymers and Plastics 711
  • Electronic, Optical and Magnetic Materials 725
  • Biomedical Engineering 1.2k
Replace Yasuhiko Hayashi with:
Yasuhiko Hayashi Japan
Lan Li China
Jiong Yang Australia
Xianmin Zhang China
Wei‐Ping Huang China
Jinwei Gao China
Su Zhang China
Jong‐Soo Lee South Korea
Zheng Xu China
Ye Liu China
Songlin Li relative to Yasuhiko Hayashi Japan Yasuhiko Hayashi's profile →
Citations per field
00.5×3.7×
Yasuhiko Hayashi · 1×
Citations per year

Countries citing papers authored by Songlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20256
3 202410
4 202411
5 20240
6 20241
7 20234
8 20231
9 20237
10
Efficient Perovskite/Silicon Tandem Solar Cells on Industrially Compatible Textured Siliconbreakdown →
2023125
11 202323
12 202213
13 20214
14 20205
15 202020
16 20203
17 20195
18 201953
19 201914
20
Simultaneous Contact and Grain‐Boundary Passivation in Planar Perovskite Solar Cells Using SnO2‐KCl Composite Electron Transport Layerbreakdown →
2019418

About Songlin Li

Songlin Li is a scholar working on Materials Chemistry, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 196 papers that have together received 6.7k indexed citations. Recurring topics across this work include 2D Materials and Applications (40 papers), Graphene research and applications (32 papers), Perovskite Materials and Applications (19 papers), Advanced Memory and Neural Computing (17 papers), MXene and MAX Phase Materials (17 papers), Nuclear physics research studies (14 papers), Electronic and Structural Properties of Oxides (13 papers) and Physics of Superconductivity and Magnetism (13 papers). The work is most often cited by research in Materials Chemistry (4.5k citations), Electrical and Electronic Engineering (3.5k citations) and Polymers and Plastics (711 citations). Songlin Li has collaborated with scholars based in China, Japan and France. Frequent co-authors include Kazuhito Tsukagoshi, Paolo Samorı́, Emanuele Orgiu, Yen‐Fu Lin, Shu Nakaharai, Keiji Ueno, Mahito Yamamoto, Yong Xu, A. Aparecido-Ferreira and Wenwu Li. Their work appears in journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

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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