Yangli Wang

915 citations
43 papers · 751 indexed · h-index 13

Impact in

Papers in

Yangli Wang

42 papers receiving 731 citations

Peers

Yangli Wang
Comparison fields: 5 of 114
  • Biomaterials 176
  • Pharmaceutical Science 57
  • Molecular Medicine 30
  • Computer Vision and Pattern Recognition 102
  • Organic Chemistry 119
Replace Rongyue Zhang with:
Rongyue Zhang China
Chunxin Wang China
Mingsheng Lü China
Hamid Reza Ghorbani Iran
Mengwei Wang China
Yong Kuen Ho Malaysia
Sharadwata Pan Germany
D. C. Tiwari India
Yichao Ma China
Sang-Ryoung Kim South Korea
Yangli Wang relative to Rongyue Zhang China Rongyue Zhang's profile →
Citations per field
00.5×4.1×
Rongyue Zhang · 1×
Citations per year

Countries citing papers authored by Yangli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yangli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013250
2 201287
3 201262
4 201239
5 200931
6 201227
7 201025
8 201723
9 201617
10 201917
11 200815
12 201714
13 201413
14 200512
15 202212
16 201511
17 201511
18 201810
19 20248
20 20138

About Yangli Wang

Yangli Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Pharmaceutical Science, Media Technology and Biomaterials, having authored 43 papers that have together received 751 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (7 papers), Advanced Data Compression Techniques (7 papers), Wireless Communication Security Techniques (6 papers), Chaos-based Image/Signal Encryption (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Plant Pathogenic Bacteria Studies (4 papers), Advanced Vision and Imaging (4 papers) and Nanocomposite Films for Food Packaging (3 papers). The work is most often cited by research in Biomaterials (176 citations), Pharmaceutical Science (57 citations), Molecular Medicine (30 citations), Computer Vision and Pattern Recognition (102 citations) and Organic Chemistry (119 citations). Yangli Wang has collaborated with scholars based in China, South Korea and Belarus. Frequent co-authors include Bin Li, Muhammad Ibrahim, Guochang Sun, Guan-Lin Xie, Changlin Shan, Lirong Han, Qing Zhou, Yuan Fang, Longbiao Guo and Fei Xu. Their work appears in journals such as Image and Vision Computing, Tetrahedron, Signal Processing Image Communication, Multimedia Tools and Applications and Microbial Pathogenesis.

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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