Pingli Han

1.1k citations
38 papers · 819 · 1 hit paper · h-index 16

Impact in

Papers in

Pingli Han

35 papers receiving 722 citations

Pingli Han's Hit Papers

Revolutionizing optical imaging: computational imaging via deep learning 2025 · 24 citations
240Years since publication5101520

Peers

Pingli Han
Comparison fields: 5 of 42
  • Acoustics and Ultrasonics 57
  • Computer Vision and Pattern Recognition 383
  • Biomedical Engineering 435
  • Instrumentation 24
  • Media Technology 42
Replace Ron A. Stack with:
Ron A. Stack United States
Pierre‐Jean Lapray France
Robert T. Kester United States
Jingping Zhu China
Yuegang Fu China
Xiaohua Feng Singapore
Kenneth J. Barnard United States
Vishwanath Saragadam United States
Tomoya Nakamura Japan
Zu-Han Gu United States
Pingli Han relative to Ron A. Stack United States Ron A. Stack's profile →
Citations per field
00.5×5×10×15×17.5×
Ron A. Stack · 1×
Citations per year

Countries citing papers authored by Pingli Han

Since Specialization
Citations

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

Fields of papers citing papers by Pingli Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018136
2 201984
3 201580
4 202071
5 202160
6 201747
7 202443
8 202138
9 202127
10 202127
11 202224
12
Revolutionizing optical imaging: computational imaging via deep learning
Hit paper breakdown →
202524
13 201822
14 202122
15 201419
16 201617
17 202213
18 202313
19 201611
20 20218

About Pingli Han

Pingli Han is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Media Technology, Ocean Engineering and Acoustics and Ultrasonics, having authored 38 papers that have together received 819 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (29 papers), Image Enhancement Techniques (7 papers), Advanced Vision and Imaging (3 papers), Advanced Optical Imaging Technologies (2 papers), Thermal Radiation and Cooling Technologies (2 papers), Advanced Measurement and Detection Methods (2 papers), Infrared Target Detection Methodologies (2 papers) and Underwater Vehicles and Communication Systems (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (57 citations), Computer Vision and Pattern Recognition (383 citations), Biomedical Engineering (435 citations), Instrumentation (24 citations) and Media Technology (42 citations). Pingli Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaopeng Shao, Fei Liu, Kui Yang, Yi Wei, Xuan Li, Yi Wei, Lu Bai, Bin Xiangli, Fei Liu and Zhang Guang. Their work appears in journals such as Optics Express, Applied Optics, Optics and Lasers in Engineering, Photonics and Optics 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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