Feng Liu

5.7k citations
208 papers · 4.4k · 2 hit papers · h-index 35

Impact in

Papers in

Feng Liu

193 papers receiving 4.3k citations

Feng Liu's Hit Papers

Ultrasound-activated piezoelectric nanostickers for neural stem cell therapy of traumatic brain injury 2025 · 18 citations
180+1+3Years since publication50100150200250

Peers

Feng Liu
Comparison fields: 5 of 158
  • Biomedical Engineering 1.5k
  • Polymers and Plastics 401
  • Materials Chemistry 1.3k
  • Bioengineering 137
  • Molecular Medicine 113
Replace Lihong Zhang with:
Lihong Zhang China
Seunghwan Lee Denmark
Tianyi Zhang China
Jing Zhang China
Zhenfeng Zhu China
Yilin Li China
Yue Dong China
Cheng Zhang China
Ka Wai Wong Hong Kong
Shiyuan Liu China
Feng Liu relative to Lihong Zhang China Lihong Zhang's profile →
Citations per field
00.5×
Lihong Zhang · 1×
Citations per year

Countries citing papers authored by Feng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2D materials–based homogeneous transistor-memory architecture for neuromorphic hardware
Hit paper breakdown →
2021269
2 2017245
3 2013148
4 2008128
5 2020107
6 2018106
7 2021103
8 199398
9 201696
10 200793
11 202289
12 201188
13 202179
14 201074
15 202171
16 202169
17 201668
18 201968
19 201461
20 201859

About Feng Liu

Feng Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Mechanical Engineering and Molecular Biology, having authored 208 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (37 papers), Gas Sensing Nanomaterials and Sensors (21 papers), Laser Material Processing Techniques (15 papers), Catalytic Processes in Materials Science (15 papers), Conducting polymers and applications (13 papers), Tactile and Sensory Interactions (12 papers), Advanced Memory and Neural Computing (12 papers) and Semiconductor materials and devices (11 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Polymers and Plastics (401 citations), Materials Chemistry (1.3k citations), Bioengineering (137 citations) and Molecular Medicine (113 citations). Feng Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gary J. Cheng, Wen Zhang, Fei Luo, Lijun Ma, Yanlin Chen, Xiaohong Li, Peng Zhang, Dominik Wechsler, Gang Tian and Xiaoqing Liu. Their work appears in journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces, Advanced Functional Materials, Energy & Fuels and Advanced Engineering 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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