Junping Yao

612 citations
59 papers · 422 · h-index 12

Impact in

Papers in

Junping Yao

51 papers receiving 410 citations

Peers

Junping Yao
Comparison fields: 5 of 104
  • Computational Mathematics 5
  • Ophthalmology 56
  • Computer Vision and Pattern Recognition 120
  • Radiology, Nuclear Medicine and Imaging 100
  • Media Technology 32
Replace Yixuan Xu with:
Yixuan Xu China
Hongdong Zhao China
Yuye Ling China
Sang‐Kyu Lim South Korea
Xueguang Yuan China
Daekwang Jung South Korea
Liang Yin United Kingdom
Eric J. Tremblay United States
Junping Yao relative to Yixuan Xu China Yixuan Xu's profile →
Citations per field
00.5×5.6×
Yixuan Xu · 1×
Citations per year

Countries citing papers authored by Junping Yao

Since Specialization
Citations

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

Fields of papers citing papers by Junping Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202347
2 201044
3 201543
4 201530
5 201126
6 202125
7 202219
8 202119
9 202314
10 201014
11 202113
12 201312
13 202211
14 20238
15 20206
16 20106
17 20215
18 20145
19 20105
20 20244

About Junping Yao

Junping Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 422 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Aluminum Alloys Composites Properties (7 papers), Topic Modeling (6 papers), Retinal Diseases and Treatments (5 papers), Magnesium Alloys: Properties and Applications (4 papers), Face and Expression Recognition (3 papers), Glaucoma and retinal disorders (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Ophthalmology (56 citations), Computer Vision and Pattern Recognition (120 citations), Radiology, Nuclear Medicine and Imaging (100 citations) and Media Technology (32 citations). Junping Yao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jinli Zhang, Mingshan Xue, Xiaoming Liu, Di Zhang, Jinshan Tang, Yujie He, Min Li, Junjie Lu, Yujie He and Min Li. Their work appears in journals such as Scientific Reports, Biomedical Signal Processing and Control, Displays, Physica B Condensed Matter and PeerJ Computer Science.

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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