Xiaobin Lin

1.1k citations
36 papers · 851 · 1 hit paper · h-index 12

Impact in

Papers in

Xiaobin Lin

33 papers receiving 807 citations

Xiaobin Lin's Hit Papers

Performing optical logic operations by a diffractive neural network 2020 · 304 citations
3040+2+4Years since publication100200300

Peers

Xiaobin Lin
Comparison fields: 5 of 112
  • Acoustics and Ultrasonics 31
  • Infectious Diseases 139
  • Surfaces, Coatings and Films 51
  • Artificial Intelligence 226
  • Oceanography 78
Replace Xiaoning Hu with:
Xiaoning Hu China
Alessio Zanutta Italy
Masanori Saito Japan
Yuqin Zong United States
Bowen Liu China
Justice Archer United States
Xiaohui Li China
Mutsumi Suzuki Japan
Jiangtao Guo China
John Christy United Kingdom
Xiaobin Lin relative to Xiaoning Hu China Xiaoning Hu's profile →
Citations per field
00.5×8.7×
Xiaoning Hu · 1×
Citations per year

Countries citing papers authored by Xiaobin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobin 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 Xiaobin Lin Line = papers co-authored together Xiaobin 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
Performing optical logic operations by a diffractive neural network
Hit paper breakdown →
2020304
2 2015113
3 202081
4 201863
5 201751
6 202039
7 201937
8 202023
9 202021
10 202015
11 202114
12 202412
13 202210
14 20238
15 20208
16 20196
17 20176
18 20165
19 20194
20 20084

About Xiaobin Lin

Xiaobin Lin is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 36 papers that have together received 851 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Photonic and Optical Devices (5 papers), Climate variability and models (3 papers), Marine Biology and Environmental Chemistry (2 papers), Olfactory and Sensory Function Studies (2 papers), Plasmonic and Surface Plasmon Research (2 papers), Sepsis Diagnosis and Treatment (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (31 citations), Infectious Diseases (139 citations), Surfaces, Coatings and Films (51 citations), Artificial Intelligence (226 citations) and Oceanography (78 citations). Xiaobin Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Er‐Ping Li, Chao Qian, Yang Sun, Hongsheng Chen, Baile Zhang, Jian Xu, Xiao Lin, Qingyi Xie, Guangzhao Zhang and Chunfeng Ma. Their work appears in journals such as International Journal of Infectious Diseases, British Journal of Clinical Pharmacology, Laser & Photonics Review, Neurocomputing and Atmospheric Science Letters.

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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