Jianing Wang

59 total papers · 1.2k total citations
35 papers, 917 citations indexed

About

Jianing Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Jianing Wang has authored 35 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 7 papers in Atmospheric Science. Recurrent topics in Jianing Wang's work include Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (7 papers) and Image and Signal Denoising Methods (6 papers). Jianing Wang is often cited by papers focused on Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (7 papers) and Image and Signal Denoising Methods (6 papers). Jianing Wang collaborates with scholars based in China, United States and Canada. Jianing Wang's co-authors include Licheng Jiao, Shuyuan Yang, Fang Liu, Weimin Lei, Shubin Li, Jack H. Noble, Benoît M. Dawant, Yiyuan Zhao, Xiangrong Zhang and Hongying Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Jianing Wang

30 papers receiving 900 citations

Hit Papers

Residual Spectral–Spatial... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jianing Wang 557 355 254 107 97 35 917
Lixia Yang 451 0.8× 106 0.3× 431 1.7× 73 0.7× 127 1.3× 38 932
Wei Zhao 540 1.0× 250 0.7× 525 2.1× 55 0.5× 143 1.5× 44 1.1k
Roberto Souza 465 0.8× 307 0.9× 295 1.2× 95 0.9× 257 2.6× 54 1.2k
Simon Stent 218 0.4× 131 0.4× 321 1.3× 109 1.0× 90 0.9× 29 812
İlkay Ulusoy 230 0.4× 94 0.3× 387 1.5× 32 0.3× 207 2.1× 66 913
Zhou Rong 194 0.3× 95 0.3× 142 0.6× 67 0.6× 55 0.6× 58 870
Nengjun Yang 516 0.9× 223 0.6× 287 1.1× 39 0.4× 190 2.0× 19 1.0k
Xuming Zhang 485 0.9× 121 0.3× 657 2.6× 166 1.6× 180 1.9× 94 1.2k
Tiecheng Song 567 1.0× 298 0.8× 706 2.8× 103 1.0× 164 1.7× 59 1.2k
ArulMurugan Ambikapathi 698 1.3× 283 0.8× 258 1.0× 142 1.3× 134 1.4× 35 1.0k

Countries citing papers authored by Jianing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianing Wang

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