Wen Lei

411 citations
19 papers · 296 · h-index 9

Impact in

Papers in

Wen Lei

16 papers receiving 292 citations

Peers

Wen Lei
Comparison fields: 5 of 34
  • Renewable Energy, Sustainability and the Environment 83
  • Electrical and Electronic Engineering 190
  • Materials Chemistry 127
  • Catalysis 11
  • Cellular and Molecular Neuroscience 27
Replace Yuta Shiratori with:
Yuta Shiratori Japan
Xun Ge China
Yasir J. Noori United Kingdom
Niannian Yu China
M. N. Martyshov Russia
Zhuiri Peng China
Ragib Ahsan United States
Souri Banerjee India
E. Verrelli Greece
Azimkhan Kozhakhmetov United States
Wen Lei relative to Yuta Shiratori Japan Yuta Shiratori's profile →
Citations per field
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Yuta Shiratori · 1×
Citations per year

Countries citing papers authored by Wen Lei

Since Specialization
Citations

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

Fields of papers citing papers by Wen Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202389
2 201844
3 201538
4 202425
5 202424
6 201213
7 201512
8 202411
9 202510
10 20167
11 20236
12 20255
13 20244
14 20233
15 20232
16 20212
17 20071
18 20250
19 20240

About Wen Lei

Wen Lei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials, having authored 19 papers that have together received 296 indexed citations. Recurring topics across this work include 2D Materials and Applications (6 papers), Advanced Semiconductor Detectors and Materials (5 papers), Chalcogenide Semiconductor Thin Films (3 papers), Perovskite Materials and Applications (3 papers), Ga2O3 and related materials (3 papers), MXene and MAX Phase Materials (3 papers), Electrocatalysts for Energy Conversion (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (83 citations), Electrical and Electronic Engineering (190 citations), Materials Chemistry (127 citations), Catalysis (11 citations) and Cellular and Molecular Neuroscience (27 citations). Wen Lei has collaborated with scholars based in Australia, China and United Arab Emirates. Frequent co-authors include Cailei Yuan, Wenda Zhou, Wei Zeng, Ting Yu, Yong Yang, Ce Hu, Zhenzhen Jiang, Renjie Gu, J. Antoszewski and L. Faraone. Their work appears in journals such as Laser & Photonics Review, Advanced Materials, Journal of Electronic Materials, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Environment Development and Sustainability.

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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