Deli Zhao

157 total papers · 3.6k total citations
57 papers, 1.5k citations indexed

About

Deli Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Deli Zhao has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Deli Zhao's work include Generative Adversarial Networks and Image Synthesis (13 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Deli Zhao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (13 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Deli Zhao collaborates with scholars based in China, United States and Hong Kong. Deli Zhao's co-authors include Edward Yi Chang, Zhiyuan Liu, Maosong Sun, Cheng Yang, Tianhao Zhang, Jie Yang, Xiaoou Tang, Wei Zhang, Zhouchen Lin and Xiaogang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Deli Zhao

50 papers receiving 1.4k citations

Hit Papers

Network representation le... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Deli Zhao 790 693 371 125 110 57 1.5k
Lu Bai 690 0.9× 522 0.8× 164 0.4× 109 0.9× 103 0.9× 81 1.4k
Jiejun Xu 757 1.0× 424 0.6× 237 0.6× 201 1.6× 175 1.6× 48 1.6k
Tao Li 716 0.9× 542 0.8× 131 0.4× 149 1.2× 83 0.8× 57 1.3k
Francesco Camastra 900 1.1× 776 1.1× 144 0.4× 97 0.8× 124 1.1× 39 1.8k
Wenxuan Tu 1.1k 1.4× 775 1.1× 307 0.8× 194 1.6× 69 0.6× 47 1.5k
Wei Han 456 0.6× 600 0.9× 219 0.6× 98 0.8× 69 0.6× 53 1.2k
Chong Fu 608 0.8× 1.1k 1.6× 122 0.3× 63 0.5× 91 0.8× 129 1.7k
Xiao Luo 730 0.9× 452 0.7× 130 0.4× 191 1.5× 157 1.4× 128 1.5k
Min Lin 828 1.0× 989 1.4× 111 0.3× 60 0.5× 55 0.5× 40 1.8k
Christopher Diehl 744 0.9× 295 0.4× 432 1.2× 208 1.7× 143 1.3× 24 1.4k

Countries citing papers authored by Deli Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Deli Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deli Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Deli Zhao. A scholar is included among the top collaborators of Deli Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deli Zhao. Deli Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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