Can Lu

468 citations
22 papers · 393 · h-index 12

Impact in

Papers in

Can Lu

21 papers receiving 386 citations

Peers

Can Lu
Comparison fields: 5 of 48
  • Renewable Energy, Sustainability and the Environment 197
  • Materials Chemistry 265
  • Polymers and Plastics 36
  • Electrical and Electronic Engineering 138
  • Catalysis 15
Replace Shilong Ji with:
Shilong Ji China
Jinlong Qin China
Subashini Gnanasekar India
Dagmar Zaoralová Czechia
Poulami Hota India
Dolly Yadav South Korea
Sidra Anis Farooqi China
Ganesan Raman India
M. Astrid Campos Mata United States
Manjunath Shetty India
Can Lu relative to Shilong Ji China Shilong Ji's profile →
Citations per field
00.5×10×15×22×
Shilong Ji · 1×
Citations per year

Countries citing papers authored by Can Lu

Since Specialization
Citations

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

Fields of papers citing papers by Can Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 201849
3 201643
4 201435
5 202032
6 201832
7 201428
8 201414
9 202214
10 201613
11 202011
12 202011
13 20228
14 20168
15 20247
16 20077
17 20216
18 20166
19 20176
20 20213

About Can Lu

Can Lu is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 22 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (9 papers), ZnO doping and properties (7 papers), Copper-based nanomaterials and applications (7 papers), Transition Metal Oxide Nanomaterials (4 papers), Quantum Dots Synthesis And Properties (3 papers), Ga2O3 and related materials (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers) and Magnesium Oxide Properties and Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (197 citations), Materials Chemistry (265 citations), Polymers and Plastics (36 citations), Electrical and Electronic Engineering (138 citations) and Catalysis (15 citations). Can Lu has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Junxia Wang, Dawei Meng, Yongqian Wang, Adam Slabon, Changzhen Liu, Xiaohong Yu, Zhengxin Zhu, Richard Dronskowski, Jianhong Chen and Mingliang Xu. Their work appears in journals such as Materials Letters, Journal of Materials Science Materials in Electronics, Nanoscale, Semiconductor Science and Technology and Journal of Alloys and Compounds.

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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