Hanrui Li

445 citations
26 papers · 319 · 1 hit paper · h-index 8

Impact in

Papers in

Hanrui Li

24 papers receiving 314 citations

Hanrui Li's Hit Papers

An optoelectrochemical synapse based on a single-component n-type mixed conductor 2025 · 32 citations
320Years since publication102030

Peers

Hanrui Li
Comparison fields: 5 of 31
  • Cellular and Molecular Neuroscience 101
  • Electrical and Electronic Engineering 243
  • Polymers and Plastics 56
  • Artificial Intelligence 60
  • Bioengineering 10
Replace Jingwei Fu with:
Jingwei Fu China
Xiaofang Shi China
Siyu Sun China
Xingwei Han China
Kaikai Gao China
Nicolás Wainstein Israel
Keji Zhou China
Yoocharn Jeon United States
Li Yi China
Shangda Qu China
Hanrui Li relative to Jingwei Fu China Jingwei Fu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hanrui Li

Since Specialization
Citations

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

Fields of papers citing papers by Hanrui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023119
2 202340
3
An optoelectrochemical synapse based on a single-component n-type mixed conductor
Hit paper breakdown →
202532
4 202432
5 202511
6 202410
7 202410
8 20239
9 20247
10 20207
11 20246
12 20256
13 20225
14 20235
15 20254
16 20244
17 20232
18 20252
19 20252
20 20232

About Hanrui Li

Hanrui Li is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Cognitive Neuroscience and Polymers and Plastics, having authored 26 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (7 papers), Neural Networks and Reservoir Computing (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Conducting polymers and applications (3 papers), CCD and CMOS Imaging Sensors (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (101 citations), Electrical and Electronic Engineering (243 citations), Polymers and Plastics (56 citations), Artificial Intelligence (60 citations) and Bioengineering (10 citations). Hanrui Li has collaborated with scholars based in Saudi Arabia, China and United Arab Emirates. Frequent co-authors include Nazek El‐Atab, Dayanand Kumar, Uttam Kumar Das, Ammar Nayfeh, Dhananjay D. Kumbhar, Lana Joharji, Manoj K. Rajbhar, Georgian Melinte, Md. Hasan Raza Ansari and Wan Yue. Their work appears in journals such as Advanced Materials, Advanced Science, Light Science & Applications, IEEE Transactions on Electron Devices and Nature Communications.

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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