Han Yan

12 papers receiving 831 citations

Han Yan's Hit Papers

Mfsd2a is critical for the formation and function of the blood–brain barrier 2014 · 774 citations
7740+4+8Years since publication250500750

Peers

Han Yan
Comparison fields: 5 of 100
  • Neurology 386
  • Developmental Neuroscience 38
  • Cell Biology 101
  • Cellular and Molecular Neuroscience 94
  • Molecular Biology 290
Replace Raleigh M. Linville with:
Raleigh M. Linville United States
Toshiyuki Oshitari Japan
Yohei Shibuya United States
Nobuhiro Hakuba Japan
Cyrille Orset France
Deidre Jansson New Zealand
Xi Shen China
Takeo Fukuchi Japan
Emily Ming‐Chieh Lu United States
Lei Pei China
Han Yan relative to Raleigh M. Linville United States Raleigh M. Linville's profile →
Citations per field
00.5×10×13.5×
Raleigh M. Linville · 1×
Citations per year

Countries citing papers authored by Han Yan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Han Yan, 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 Han Yan Line = papers co-authored together Han Yan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Mfsd2a is critical for the formation and function of the blood–brain barrier
Hit paper breakdown →
2014774
2 201827
3 202314
4 20247
5 20235
6
Modeling System Reliability For Digital Preservation: Model Modification and Four-Copy Model Study
20084
7 20113
8 20242
9 20062
10
Ultra Short Baseline Acoustic Position Method Based on the Multi-array-elements Base
20061
11 20091
12 20251
13
Design and implementation of expandable logical expression evaluation
20120

About Han Yan

Han Yan is a scholar working on Computational Mechanics, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 13 papers that have together received 841 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (2 papers), Digital Filter Design and Implementation (2 papers), Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (2 papers), Optical Systems and Laser Technology (1 paper), Image Enhancement Techniques (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Neurology (386 citations), Developmental Neuroscience (38 citations), Cell Biology (101 citations), Cellular and Molecular Neuroscience (94 citations) and Molecular Biology (290 citations). Han Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chenghua Gu, Yoav Mayshar, Esther Kur, Baptiste Lacoste, Ayal Ben‐Zvi, Benjamin J. Andreone, Xiaoxia Han, Junyu Xu, Ray C. C. Cheung and Lin Shen. Their work appears in journals such as Aerospace Science and Technology, ACM Transactions on Graphics, Nature, International Journal of Structural Stability and Dynamics and Journal of Neuroscience Methods.

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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