Xianjun Gao

56 total papers · 493 total citations
41 papers, 373 citations indexed

About

Xianjun Gao is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Xianjun Gao has authored 41 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Media Technology. Recurrent topics in Xianjun Gao's work include Remote-Sensing Image Classification (9 papers), Remote Sensing and Land Use (9 papers) and Remote Sensing and LiDAR Applications (6 papers). Xianjun Gao is often cited by papers focused on Remote-Sensing Image Classification (9 papers), Remote Sensing and Land Use (9 papers) and Remote Sensing and LiDAR Applications (6 papers). Xianjun Gao collaborates with scholars based in China and Russia. Xianjun Gao's co-authors include Yuanwei Yang, Mingwei Wang, Youchuan Wan, Xudong Lai, Zhiwei Ye, Guangbin Zhang, Shaohua Li, Dahong Zhang, Dandan Li and Shasha Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Xianjun Gao

34 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Xianjun Gao 122 66 66 62 61 41 373
Guangqi Xie 128 1.0× 73 1.1× 63 1.0× 35 0.6× 36 0.6× 31 387
Jianbo Liu 127 1.0× 63 1.0× 70 1.1× 49 0.8× 40 0.7× 26 433
Shouhang Du 106 0.9× 78 1.2× 148 2.2× 110 1.8× 60 1.0× 37 349
Yabin Hu 177 1.5× 77 1.2× 67 1.0× 30 0.5× 67 1.1× 31 364
Rulin Xiao 87 0.7× 52 0.8× 86 1.3× 63 1.0× 113 1.9× 20 440
Caihong Ma 117 1.0× 56 0.8× 85 1.3× 46 0.7× 23 0.4× 41 379
Bo Cheng 117 1.0× 94 1.4× 109 1.7× 84 1.4× 103 1.7× 41 365
Jun Liu 143 1.2× 89 1.3× 123 1.9× 59 1.0× 58 1.0× 37 425
Yungang Cao 103 0.8× 80 1.2× 68 1.0× 93 1.5× 25 0.4× 36 419
Liang Hong 189 1.5× 68 1.0× 67 1.0× 53 0.9× 54 0.9× 39 405

Countries citing papers authored by Xianjun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xianjun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianjun Gao

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