Chen Pan

2.8k citations
45 papers · 1.9k indexed · 3 hit papers · h-index 19

Impact in

Papers in

Chen Pan

42 papers receiving 1.9k citations

Hit Papers

In-sensor dynamic computing for intelligent machine vision 2024 · 91 citations
912018202620202023200400600

Peers

Chen Pan
Comparison fields: 5 of 77
  • Electrical and Electronic Engineering 1.5k
  • Polymers and Plastics 300
  • Cellular and Molecular Neuroscience 334
  • Materials Chemistry 719
  • Electronic, Optical and Magnetic Materials 140
Replace M.B. Schubert with:
M.B. Schubert Germany
Chaoyi Zhang China
Byung Ha Kang South Korea
Sangheon Lee South Korea
Joon Young Kwak South Korea
Huanyu Zhou China
Anh Tuấn Hoàng South Korea
Jinran Yu China
Tianyu Wang China
Insung Kim South Korea
Chen Pan relative to M.B. Schubert Germany M.B. Schubert's profile →
Citations per field
00.5×6.4×
M.B. Schubert · 1×
Citations per year

Countries citing papers authored by Chen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Chen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust memristors based on layered two-dimensional materials
Hit paper breakdown →
2018663
2
Reconfigurable logic and neuromorphic circuits based on electrically tunable two-dimensional homojunctions
Hit paper breakdown →
2020299
3 2020111
4 2017105
5
In-sensor dynamic computing for intelligent machine vision
Hit paper breakdown →
202491
6 201882
7 201862
8 202262
9 202357
10 201950
11 202339
12 201233
13 202232
14 202227
15 201623
16 202420
17 200819
18 201919
19 202018
20 201314

About Chen Pan

Chen Pan is a scholar working on Instrumentation, Electrical and Electronic Engineering, Automotive Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), 2D Materials and Applications (8 papers), Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (6 papers), Advanced Battery Technologies Research (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neuroscience and Neural Engineering (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.5k citations), Polymers and Plastics (300 citations), Cellular and Molecular Neuroscience (334 citations), Materials Chemistry (719 citations) and Electronic, Optical and Magnetic Materials (140 citations). Chen Pan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Miao, Shi‐Jun Liang, Chenyu Wang, Tianjun Cao, Bin Cheng, Pengfei Wang, Kang Xu, Xiaojuan Lian, Xiaoqing Pan and Peng Wang. Their work appears in journals such as Nature Electronics, Science China Information Sciences, Nano Letters, Applied Physics Letters and Applied Surface Science.

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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