Hao Dong

53 total papers · 785 total citations
28 papers, 584 citations indexed

About

Hao Dong is a scholar working on Aerospace Engineering, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hao Dong has authored 28 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Hao Dong's work include Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Remote-Sensing Image Classification (5 papers) and Advanced SAR Imaging Techniques (5 papers). Hao Dong is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers), Remote-Sensing Image Classification (5 papers) and Advanced SAR Imaging Techniques (5 papers). Hao Dong collaborates with scholars based in China, United States and Macao. Hao Dong's co-authors include Gang Wang, Huiling Chen, Xiaodong Zhu, Sujing Wang, Yuanning Liu, Xin Xu, Fangling Pu, Lei Wang, Rong Gui and Shan Xu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Hao Dong

25 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Dong 211 138 136 91 58 28 584
Xia Yuan 159 0.8× 309 2.2× 112 0.8× 54 0.6× 58 1.0× 64 606
Qian Xu 210 1.0× 151 1.1× 70 0.5× 46 0.5× 34 0.6× 35 586
Liang Huang 107 0.5× 154 1.1× 65 0.5× 100 1.1× 36 0.6× 94 640
Xiaolong Fan 132 0.6× 218 1.6× 97 0.7× 80 0.9× 99 1.7× 31 548
Qi Lv 212 1.0× 257 1.9× 70 0.5× 116 1.3× 47 0.8× 59 683
Zeyin Zhang 248 1.2× 102 0.7× 85 0.6× 31 0.3× 19 0.3× 42 621
Xin Zhao 127 0.6× 133 1.0× 33 0.2× 68 0.7× 34 0.6× 59 529
Priyanka Mukhopadhyay 107 0.5× 290 2.1× 63 0.5× 63 0.7× 52 0.9× 19 520
Xin Jing 110 0.5× 87 0.6× 130 1.0× 28 0.3× 99 1.7× 43 676
Jakob Gawlikowski 234 1.1× 95 0.7× 30 0.2× 52 0.6× 34 0.6× 13 610

Countries citing papers authored by Hao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Dong. A scholar is included among the top collaborators of Hao Dong 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 Hao Dong. Hao Dong 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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