Yangjie Wei

643 citations
67 papers · 444 · h-index 12

Impact in

Papers in

Yangjie Wei

59 papers receiving 427 citations

Peers

Yangjie Wei
Comparison fields: 5 of 91
  • Media Technology 55
  • Computer Vision and Pattern Recognition 119
  • Health, Toxicology and Mutagenesis 70
  • Signal Processing 46
  • Pollution 38
Replace Jin Zeng with:
Jin Zeng China
Wenzheng Chen China
Xiaokai Wang China
Konstantinos Avgerinakis Greece
Yuhan Zhang China
Xin Feng China
Oktay Karakuş United Kingdom
Heng Luo China
Hongliang Yin China
Yangjie Wei relative to Jin Zeng China Jin Zeng's profile →
Citations per field
00.5×6.6×
Jin Zeng · 1×
Citations per year

Countries citing papers authored by Yangjie Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yangjie Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 201556
3 200536
4 201636
5 200422
6 202421
7 201220
8 199518
9 201617
10 201415
11 202012
12 202212
13 20159
14 20237
15 20216
16 20126
17 20185
18 20175
19 20205
20 20205

About Yangjie Wei

Yangjie Wei is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 67 papers that have together received 444 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (20 papers), Speech and Audio Processing (13 papers), Advanced Surface Polishing Techniques (11 papers), Digital Holography and Microscopy (10 papers), Speech Recognition and Synthesis (8 papers), Optical measurement and interference techniques (7 papers), Advanced optical system design (7 papers) and Force Microscopy Techniques and Applications (6 papers). The work is most often cited by research in Media Technology (55 citations), Computer Vision and Pattern Recognition (119 citations), Health, Toxicology and Mutagenesis (70 citations), Signal Processing (46 citations) and Pollution (38 citations). Yangjie Wei has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Nan Guan, Stephen C. Francesconi, Roger Fuoco, Chengdong Wu, Stefania Giannarelli, C. Abete, Wenyao Xu, Alessio Ceccarini, Yin Bi and Wang Yi. Their work appears in journals such as Applied Optics, Sensors, Optics Express, Microchemical Journal and IEEE Transactions on Nanotechnology.

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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