Lin Zhao

2.3k citations
73 papers · 1.8k · h-index 23

Impact in

Papers in

Lin Zhao

65 papers receiving 1.8k citations

Peers

Lin Zhao
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 289
  • Renewable Energy, Sustainability and the Environment 157
  • Immunology 182
  • Artificial Intelligence 236
  • Materials Chemistry 278
Replace Chuanfu Zhang with:
Chuanfu Zhang China
Rong Zhang China
Shaobai Li China
Wei‐Yao Wang Taiwan
Zhichao Feng China
Jialong Chen China
Keyang Wang China
Xinyang Liu China
Xuehui Chen China
Lin Zhao relative to Chuanfu Zhang China Chuanfu Zhang's profile →
Citations per field
00.5×2×4×6×8.5×
Chuanfu Zhang · 1×
Citations per year

Countries citing papers authored by Lin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007309
2 2019201
3 2022131
4 2020106
5 202074
6 201058
7 202157
8 202150
9 202250
10 200746
11 200545
12 201439
13 201937
14 201835
15 202331
16 201430
17 202228
18 201827
19 202026
20 202026

About Lin Zhao

Lin Zhao is a scholar working on Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment, Immunology, Artificial Intelligence and Materials Chemistry, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Neural Network Applications (4 papers), Advanced Photocatalysis Techniques (3 papers), MXene and MAX Phase Materials (3 papers), Immunotherapy and Immune Responses (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Renewable Energy, Sustainability and the Environment (157 citations), Immunology (182 citations), Artificial Intelligence (236 citations) and Materials Chemistry (278 citations). Lin Zhao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chen Gong, Yan Li, Jin Zhong Zhang, Shanshan Zhang, Guangyu Li, Jian Yang, Huali Jin, Youmin Kang, Junpeng Wang and Xiaogang Du. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, The Journal of Immunology, IEEE Transactions on Multimedia and Neurocomputing.

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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