Yichen Wu

118 papers receiving 3.7k citations

Yichen Wu's Hit Papers

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning 2019 · 442 citations
4420+2+4Years since publication100200300400

Peers

Yichen Wu
Comparison fields: 5 of 177
  • Biophysics 601
  • Acoustics and Ultrasonics 65
  • Media Technology 610
  • Structural Biology 58
  • Atomic and Molecular Physics, and Optics 993
Replace Seiji Kobayashi with:
Seiji Kobayashi Japan
Daniel S. Elson United Kingdom
Yang Liu China
Shouyu Wang China
Baowei Fei United States
Rohit Bhargava United States
Bruce J. Tromberg United States
Jonathan Liu United States
Hui Ma China
Keiichi Nakagawa Japan
Yichen Wu relative to Seiji Kobayashi Japan Seiji Kobayashi's profile →
Citations per field
00.5×5.6×
Seiji Kobayashi · 1×
Citations per year

Countries citing papers authored by Yichen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Hit paper breakdown →
2019442
2 2019212
3 2017169
4 2013153
5 2018138
6 2017133
7 2017124
8 2021109
9 2019107
10 2019103
11 201999
12 201499
13 201996
14 201679
15 201869
16 201864
17 201663
18 201862
19 201361
20 201458

About Yichen Wu

Yichen Wu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Media Technology, Biophysics and Biomedical Engineering, having authored 124 papers that have together received 3.8k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (23 papers), Image Processing Techniques and Applications (19 papers), Cell Image Analysis Techniques (11 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Retinoids in leukemia and cellular processes (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Photonic and Optical Devices (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Biophysics (601 citations), Acoustics and Ultrasonics (65 citations), Media Technology (610 citations), Structural Biology (58 citations) and Atomic and Molecular Physics, and Optics (993 citations). Yichen Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Aydogan Özcan, Yair Rivenson, Yibo Zhang, Kevin de Haan, Hongda Wang, Ling‐Huei Yih, Miu Tamamitsu, Zhensong Wei, Alborz Feizi and William D. Wallace. Their work appears in journals such as Scientific Reports, Light Science & Applications, Shock, Toxicology and Applied Pharmacology and Fish & Shellfish Immunology.

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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