Binbin Lin

1.0k citations
36 papers · 710 · h-index 15

Impact in

Papers in

Binbin Lin

34 papers receiving 693 citations

Peers

Binbin Lin
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 139
  • Electrical and Electronic Engineering 395
  • Communication 33
  • Cognitive Neuroscience 83
  • Artificial Intelligence 124
Replace Jie Qiu with:
Jie Qiu China
Takafumi Suzuki Japan
Harry K. Charles United States
Yating Li China
Chao Han China
Xiaoming Cheng China
In-Ho Kang South Korea
Zhang Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Binbin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 202266
3 201556
4 201544
5 201739
6 201538
7 202226
8 202226
9 202420
10 200819
11 201519
12 202115
13 202215
14 202014
15 202114
16 201813
17 201412
18 202111
19 202410
20 201610

About Binbin Lin

Binbin Lin is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Functional Brain Connectivity Studies (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neuroscience and Neural Engineering (4 papers), Advanced MRI Techniques and Applications (4 papers), Disaster Management and Resilience (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (139 citations), Electrical and Electronic Engineering (395 citations), Communication (33 citations), Cognitive Neuroscience (83 citations) and Artificial Intelligence (124 citations). Binbin Lin has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jieping Ye, Jae-sun Seo, Sarma Vrudhula, Yu Cao, Shimeng Yu, Pai-Yu Chen, Bai‐Xiang Xu, I‐Ting Wang, Tuo‐Hung Hou and Abinash Mohanty. Their work appears in journals such as Computers Environment and Urban Systems, npj Computational Materials, Cartography and Geographic Information Science, Journal of Applied Physics and Chemical 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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