Kehua Su

1.7k total citations · 1 hit paper
36 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 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 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 Australia. Kehua Su's co-authors include Hongbo Fu, Jie Li, Chang‐Yu Sun, Guangjin Chen, Na Lei, Xianfeng Gu, C. K. Hsieh, Qingping Li, Qing Yuan and Shing‐Tung Yau 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

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Smart city and the applications

2011 461 citations Kehua Su, Hongbo Fu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kehua Su China	15	227	206	191	185	180	36	1.1k
Shaohua Li China	19	141 0.6×	129 0.6×	26 0.1×	225 1.2×	83 0.5×	71	1.2k
Jiang Bian China	19	302 1.3×	29 0.1×	118 0.6×	77 0.4×	139 0.8×	71	2.2k
Xiaodong Fu China	20	126 0.6×	28 0.1×	30 0.2×	533 2.9×	112 0.6×	157	1.4k
Yanjun Li China	23	130 0.6×	24 0.1×	52 0.3×	749 4.0×	132 0.7×	127	1.7k
Ziwei Wang China	21	1.0k 4.5×	28 0.1×	95 0.5×	60 0.3×	99 0.6×	128	2.0k
Giovanni Aloisio Italy	17	98 0.4×	15 0.1×	33 0.2×	443 2.4×	23 0.1×	172	1.2k
Wenzhen Huang United States	22	65 0.3×	24 0.1×	16 0.1×	86 0.5×	35 0.2×	67	1.7k
Qing Liu China	20	481 2.1×	8 0.0×	148 0.8×	110 0.6×	67 0.4×	121	1.4k
Ying Zhao China	19	359 1.6×	9 0.0×	304 1.6×	148 0.8×	8 0.0×	84	1.4k
Diego Andina Spain	19	302 1.3×	10 0.0×	52 0.3×	123 0.7×	45 0.3×	93	1.2k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

He, Li, Mang Ye, Kehua Su, & Bo Du. (2025). WePerson: Generalizable Re-Identification From Synthetic Data With Single Query Adaptation. IEEE Transactions on Biometrics Behavior and Identity Science. 7(3). 458–470.

2.

Huang, Wenke, et al.. (2025). EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. 14314–14324. 2 indexed citations

3.

Li, Zuchao, et al.. (2023). Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5203–5212. 2 indexed citations

4.

Li, Kehan, et al.. (2023). Distributed Satellite Pod Scheduling Algorithm Based on DQN. 29. 1–6.

5.

Shen, Li, Yong Luo, Han Hu, et al.. (2023). FedABC: Targeting Fair Competition in Personalized Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 10095–10103. 6 indexed citations

6.

Li, Hongyu, Lefei Zhang, & Kehua Su. (2023). Dual Mutual Information Constraints for Discriminative Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8571–8579. 7 indexed citations

7.

Ye, Mang, et al.. (2023). Cross-Modality Pyramid Alignment for Visual Intention Understanding. IEEE Transactions on Image Processing. 32. 2190–2201. 6 indexed citations

8.

Wei, Lili, Yuming Xu, Bo Li, et al.. (2022). Deep learning assisted contrast-enhanced CT–based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases. European Radiology. 33(6). 4303–4312. 17 indexed citations

9.

Su, Kehua, et al.. (2019). Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient. Burns & Trauma. 7. 6–6. 38 indexed citations

10.

Su, Kehua, Xiang Li, Chengcheng Zhou, & Xu Chen. (2019). Learning behaviour recognition based on multi-object image in single viewpoint. Personal and Ubiquitous Computing. 25(6). 1081–1090. 6 indexed citations

11.

Su, Kehua, et al.. (2019). Simultaneous Localization and Mapping Technology Based on Project Tango. Wuhan University Journal of Natural Sciences. 24(2). 176–184.

12.

Zhao, Hui, Kehua Su, Chenchen Li, et al.. (2018). Mesh Parameterization: a Viewpoint from Constant Mean Curvature Surfaces. Eurographics. 25–28. 1 indexed citations

13.

Lei, Na, et al.. (2018). A geometric view of optimal transportation and generative model. Computer Aided Geometric Design. 68. 1–21. 63 indexed citations

14.

Su, Kehua, et al.. (2016). Area-preserving mesh parameterization for poly-annulus surfaces based on optimal mass transportation. Computer Aided Geometric Design. 46. 76–91. 30 indexed citations

15.

She, Bing, Xinyan Zhu, Xinyue Ye, et al.. (2015). Weighted network Voronoi Diagrams for local spatial analysis. Computers Environment and Urban Systems. 52. 70–80. 29 indexed citations

16.

Su, Kehua, Chang‐Yu Sun, Abhijit Dandekar, et al.. (2012). Experimental investigation of hydrate accumulation distribution in gas seeping system using a large scale three-dimensional simulation device. Chemical Engineering Science. 82. 246–259. 22 indexed citations

17.

Su, Kehua, Hongbo Fu, Bo Du, et al.. (2012). Image denoising based on learning over-complete dictionary. 54. 395–398. 7 indexed citations

18.

Su, Kehua, et al.. (2012). Instant Messaging Application for the Internet of Things. 17. 166–169. 2 indexed citations

19.

Hu, Tao, Xinyan Zhu, Kehua Su, & Lian Duan. (2011). Collection and remote management of disaster information with mobile positioning terminals. 1–5. 5 indexed citations

20.

Bao, Shuming, et al.. (2010). Spatial intelligence with spatial statistics. 2. 1–6. 1 indexed citations

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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