Kehua Su

57 total papers · 1.6k total citations
35 papers, 1.1k citations indexed

About

Kehua Su is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Kehua Su has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Kehua Su's work include 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (6 papers) and Methane Hydrates and Related Phenomena (4 papers). Kehua Su is often cited by papers focused on 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (6 papers) and Methane Hydrates and Related Phenomena (4 papers). Kehua Su collaborates with scholars based in China, United States and Germany. Kehua Su's co-authors include Hongbo Fu, Jie Li, Guangjin Chen, Chang‐Yu Sun, Na Lei, Xianfeng Gu, C. K. Hsieh, Shing‐Tung Yau, Qingping Li and Qing Yuan and has published in prestigious journals such as IEEE Transactions on Image Processing, Energy Conversion and Management and Chemical Engineering Science.

In The Last Decade

Kehua Su

33 papers receiving 1.1k citations

Hit Papers

Smart city and the applic... 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Smart city and the applications
    2011 460 citations Kehua Su, Jie Li et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Kehua Su 225 206 190 185 180 35 1.1k
Shaohua Li 137 0.6× 122 0.6× 25 0.1× 223 1.2× 81 0.5× 70 1.2k
Yi Zhou 353 1.6× 16 0.1× 85 0.4× 153 0.8× 53 0.3× 99 1.3k
Yifan Zhang 125 0.6× 37 0.2× 20 0.1× 22 0.1× 252 1.4× 75 977
Álvaro López García 76 0.3× 19 0.1× 29 0.2× 198 1.1× 35 0.2× 51 981
Giovanni Aloisio 98 0.4× 15 0.1× 32 0.2× 452 2.4× 23 0.1× 173 1.2k
Yunliang Chen 163 0.7× 10 0.0× 68 0.4× 140 0.8× 18 0.1× 61 1.2k
Ke Wang 189 0.8× 7 0.0× 31 0.2× 152 0.8× 90 0.5× 113 1.3k
Hui Liu 552 2.5× 12 0.1× 258 1.4× 24 0.1× 29 0.2× 66 1.1k
Kristina P. Sinaga 254 1.1× 6 0.0× 63 0.3× 105 0.6× 42 0.2× 12 1.4k
Palaniappan Ramu 229 1.0× 17 0.1× 19 0.1× 19 0.1× 75 0.4× 74 1.3k

Countries citing papers authored by Kehua Su

Since Specialization
Citations

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

Fields of papers citing papers by Kehua Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehua Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kehua Su. A scholar is included among the top collaborators of Kehua Su 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 Kehua Su. Kehua Su 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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2026