Shaohua Wang

41 total papers · 588 total citations
30 papers, 410 citations indexed

About

Shaohua Wang is a scholar working on Geology, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaohua Wang has authored 30 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geology, 10 papers in Environmental Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaohua Wang's work include 3D Surveying and Cultural Heritage (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Archaeological Research and Protection (5 papers). Shaohua Wang is often cited by papers focused on 3D Surveying and Cultural Heritage (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Archaeological Research and Protection (5 papers). Shaohua Wang collaborates with scholars based in China, United States and Lithuania. Shaohua Wang's co-authors include Qingwu Hu, Mingyao Ai, Pengcheng Zhao, Haidong Li, Fan Jiang, Chengxiang Fang, Fang Peng, Zhichao Zhou, Wenxin Li and Yingyi Zhao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and International Journal of Remote Sensing.

In The Last Decade

Shaohua Wang

26 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Shaohua Wang 115 103 102 58 56 30 410
Shuyang Li 94 0.8× 35 0.3× 34 0.3× 52 0.9× 32 0.6× 31 415
Changqing Yan 126 1.1× 72 0.7× 58 0.6× 73 1.3× 64 1.1× 46 478
Shichao Chen 95 0.8× 67 0.7× 41 0.4× 26 0.4× 40 0.7× 47 470
Pengcheng Zhao 123 1.1× 134 1.3× 110 1.1× 6 0.1× 24 0.4× 54 473
Ruifang Zhai 188 1.6× 101 1.0× 118 1.2× 19 0.3× 87 1.6× 48 465
Qi Wang 59 0.5× 159 1.5× 19 0.2× 57 1.0× 51 0.9× 40 489
Wei Zhao 70 0.6× 76 0.7× 22 0.2× 36 0.6× 22 0.4× 24 368
Oluibukun Gbenga Ajayi 165 1.4× 27 0.3× 76 0.7× 6 0.1× 51 0.9× 41 489
Yujian Mo 37 0.3× 240 2.3× 19 0.2× 22 0.4× 17 0.3× 21 480
Jiabin Zhang 41 0.4× 144 1.4× 20 0.2× 56 1.0× 38 0.7× 29 492

Countries citing papers authored by Shaohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Wang

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