Yi Lu

3.0k citations
107 papers · 2.4k · h-index 26

Impact in

Papers in

Yi Lu

99 papers receiving 2.3k citations

Peers

Yi Lu
Comparison fields: 5 of 124
  • Polymers and Plastics 572
  • Cellular and Molecular Neuroscience 737
  • Biomedical Engineering 905
  • Metals and Alloys 49
  • Cognitive Neuroscience 313
Replace Lan Yin with:
Lan Yin China
Carlos Fonseca Portugal
Ji Hoon Kim South Korea
Dongjie Jiang China
Seung‐Kyun Kang South Korea
Young‐Geun Park South Korea
Sungwon Lee South Korea
Bong Hoon Kim South Korea
Suk‐Won Hwang South Korea
Yang Zou China
Yi Lu relative to Lan Yin China Lan Yin's profile →
Citations per field
00.5×1.5×2.0×
Lan Yin · 1×
Citations per year

Countries citing papers authored by Yi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009178
2 2010157
3 2017133
4 2022101
5 202199
6 201887
7 201887
8 200885
9 201680
10 201176
11 202174
12 201969
13 201556
14 200852
15 202152
16 202451
17 202243
18 201142
19 201338
20 202136

About Yi Lu

Yi Lu is a scholar working on Cellular and Molecular Neuroscience, Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience, having authored 107 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), Additive Manufacturing Materials and Processes (18 papers), Welding Techniques and Residual Stresses (17 papers), Conducting polymers and applications (15 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Photoreceptor and optogenetics research (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Advanced Sensor and Control Systems (6 papers). The work is most often cited by research in Polymers and Plastics (572 citations), Cellular and Molecular Neuroscience (737 citations), Biomedical Engineering (905 citations), Metals and Alloys (49 citations) and Cognitive Neuroscience (313 citations). Yi Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanwen Y. Duan, Yuliang Cao, Hanxi Yang, Guifang Sun, Liping Wang, Lulu Wang, Xueqing Zhao, Zhandong Wang, Zhonghua Ni and Zhong Ze Gu. Their work appears in journals such as RSC Advances, Surface and Coatings Technology, Biomaterials, Optics & Laser Technology 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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