Ningyi Zhang

29 papers receiving 389 citations

Peers

Ningyi Zhang
Comparison fields: 5 of 68
  • Ophthalmology 30
  • Polymers and Plastics 45
  • Biomedical Engineering 131
  • Mechanics of Materials 68
  • Radiology, Nuclear Medicine and Imaging 55
Replace Haochen Kang with:
Haochen Kang United States
Zenghai Lu United Kingdom
Yan Kang China
K. Kirk Shung United States
Patrick Rougeot France
Zhen Qiu United States
Maik Rahlves Germany
Haoyu Yu China
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Ningyi Zhang relative to Haochen Kang United States Haochen Kang's profile →
Citations per field
00.5×2.8×
Haochen Kang · 1×
Citations per year

Countries citing papers authored by Ningyi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ningyi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 202045
3 201941
4 202133
5 202332
6 202327
7 202320
8 202419
9 201413
10 202212
11 20229
12 20219
13 20189
14 20198
15 20187
16 20227
17 20226
18 20236
19 20175
20 20245

About Ningyi Zhang

Ningyi Zhang is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (5 papers), Retinal Imaging and Analysis (3 papers), Hepatitis B Virus Studies (3 papers), Conducting polymers and applications (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Bioinformatics and Genomic Networks (3 papers), Hepatitis C virus research (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Ophthalmology (30 citations), Polymers and Plastics (45 citations), Biomedical Engineering (131 citations), Mechanics of Materials (68 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Ningyi Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianliang Lin, William D. Sproul, John J. Moore, Chaoxia Wang, Yunjie Yin, Yugen Yi, Haonan Cheng, Wei Zhou, Andong Wang and Fuh‐Gwo Yuan. Their work appears in journals such as Computers in Biology and Medicine, Macromolecular Materials and Engineering, Ceramics International, Frontiers in Pharmacology and Surface and Coatings Technology.

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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