Lei Tong

4.3k citations
106 papers · 3.5k indexed · 3 hit papers · h-index 31

Impact in

Papers in

Lei Tong

104 papers receiving 3.4k citations

Hit Papers

Van der Waals two-color infrared photodetector 2022 · 160 citations
1602020202620222024100200300

Peers

Lei Tong
Comparison fields: 5 of 130
  • Materials Chemistry 1.9k
  • Renewable Energy, Sustainability and the Environment 654
  • Electrical and Electronic Engineering 1.8k
  • Electronic, Optical and Magnetic Materials 455
  • Polymers and Plastics 238
Replace Ziqian Wang with:
Ziqian Wang China
Ru‐Zhi Wang China
Zhuoran Wang China
Haiping Zhou China
Song Liu China
Jinhao Zang China
Min Liao China
Adrian Trinchi Australia
Chaohua Zhang China
Uttam Gupta India
Lei Tong relative to Ziqian Wang China Ziqian Wang's profile →
Citations per field
00.5×1.5×2.4×
Ziqian Wang · 1×
Citations per year

Countries citing papers authored by Lei Tong

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20259
3 20251
4 202433
5 202415
6 20242
7 202312
8 20239
9 202381
10 202326
11 20233
12 202321
13 202321
14 202342
15 202312
16 20226
17
2D materials–based homogeneous transistor-memory architecture for neuromorphic hardware
Hit paper breakdown →
2021269
18 202161
19 20195
20 20183

About Lei Tong

Lei Tong is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 106 papers that have together received 3.5k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (18 papers), 2D Materials and Applications (18 papers), Advanced Memory and Neural Computing (13 papers), Graphene research and applications (12 papers), Advanced Photocatalysis Techniques (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Gas Sensing Nanomaterials and Sensors (8 papers) and Diamond and Carbon-based Materials Research (6 papers). The work is most often cited by research in Materials Chemistry (1.9k citations), Renewable Energy, Sustainability and the Environment (654 citations), Electrical and Electronic Engineering (1.8k citations), Electronic, Optical and Magnetic Materials (455 citations) and Polymers and Plastics (238 citations). Lei Tong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lei Ye, Xinyu Huang, Peng Wang, Weida Hu, Jianbin Xu, Gary J. Cheng, Zheng Li, Pingfan Zhang, Chunmei Li and Meng Peng. Their work appears in journals such as Nature Communications, Advanced Materials, Advanced Functional Materials, ACS Nano and ACS Applied Materials & Interfaces.

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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