Na Zhao

751 citations
34 papers · 477 indexed · h-index 12

Na Zhao

27 papers receiving 466 citations

Peers

Na Zhao
Comparison fields: 5 of 73
  • Geology 70
  • Computer Vision and Pattern Recognition 192
  • Management Science and Operations Research 74
  • Pollution 65
  • Computer Graphics and Computer-Aided Design 18
Replace Mehmet Akıf Günen with:
Mehmet Akıf Günen Türkiye
Jincheng Jiang China
Xianfeng Huang China
Bo Ai China
Julio J. Valdés Canada
Niko Lukač Slovenia
Congcong Wen China
Liangchen Zhou China
Mengjiao Qin China
Tohid Erfani United Kingdom
Na Zhao relative to Mehmet Akıf Günen Türkiye Mehmet Akıf Günen's profile →
Citations per field
00.5×
Mehmet Akıf Günen · 1×
Citations per year

Countries citing papers authored by Na Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Na Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20252
4 20247
5 20240
6 20242
7 20240
8 20234
9 202176
10 202090
11 201833
12 20186
13 201853
14 201720
15 201621
16 20153
17
Characteristics and evolution process and their modeling of sand ripples on Dongtai tidal flats,Jiangsu province China
20122
18 20101
19
Study on the COD Emission Trends and the Reduction Measures in Hebei Province
20101
20
Optimization of self-adaptive ant colony algorithm for infrared image segmentation
20090

About Na Zhao

Na Zhao is a scholar working on Computer Vision and Pattern Recognition, Geology and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (5 papers), 3D Shape Modeling and Analysis (5 papers), Multi-Criteria Decision Making (3 papers), 3D Surveying and Cultural Heritage (3 papers), Multimodal Machine Learning Applications (3 papers), Human Pose and Action Recognition (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Geology (70 citations), Computer Vision and Pattern Recognition (192 citations) and Management Science and Operations Research (74 citations). Na Zhao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tat‐Seng Chua, Gim Hee Lee, Zeshui Xu, Hanwang Zhang, Zhiliang Ren, Guanghui Xu, Xijin Tang, Cuiping Wei, Yong Yu and Rui Yu. Their work appears in journals such as Atmospheric Environment, Information Sciences and International Journal of Computer Vision.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026