Kun Zeng

791 total citations
33 papers, 570 citations indexed

About

Kun Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kun Zeng has authored 33 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Kun Zeng's work include Advanced Vision and Imaging (8 papers), Visual Attention and Saliency Detection (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Kun Zeng is often cited by papers focused on Advanced Vision and Imaging (8 papers), Visual Attention and Saliency Detection (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Kun Zeng collaborates with scholars based in China, United States and Hong Kong. Kun Zeng's co-authors include Przemysław Pawełczak, Danijela Čabrić, Song‐Chun Zhu, Mingtian Zhao, Caiming Xiong, Shaoqian Li, Jun Wang, Qihang Peng, Liang Lin and Guanbin Li and has published in prestigious journals such as IEEE Access, Sensors and ACM Transactions on Graphics.

In The Last Decade

Kun Zeng

29 papers receiving 551 citations

Peers

Kun Zeng
Michael Abrash United States
Quan Chen United States
Soojung Ryu South Korea
W. Bruce Culbertson United States
Masoud Alghoniemy Egypt
Randi J. Rost United States
Mireille Boutin United States
Jaswinder Singh United States
Michael Abrash United States
Kun Zeng
Citations per year, relative to Kun Zeng Kun Zeng (= 1×) peers Michael Abrash

Countries citing papers authored by Kun Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zeng. A scholar is included among the top collaborators of Kun Zeng 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 Kun Zeng. Kun Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Li, Wei, et al.. (2025). Counterfactual causal inference for robust visual question answering. Neural Networks. 194. 108115–108115.
3.
Zeng, Kun, et al.. (2024). GNSS blanket jamming classification algorithm based on spatial attention mechanism and residual shrinkage neural network. Measurement Science and Technology. 35(4). 45120–45120. 2 indexed citations
4.
5.
Li, Yong, Zhenguo Yang, Heng Weng, et al.. (2022). A Bi-level representation learning model for medical visual question answering. Journal of Biomedical Informatics. 134. 104183–104183. 14 indexed citations
6.
Zeng, Kun, et al.. (2022). Attention-based bi-directional refinement network for salient object detection. Applied Intelligence. 52(12). 14349–14361. 8 indexed citations
7.
Lin, Liang, et al.. (2021). Structured Attention Network for Referring Image Segmentation. IEEE Transactions on Multimedia. 24. 1922–1932. 31 indexed citations
8.
Zeng, Kun, et al.. (2021). Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning. BMC Medical Informatics and Decision Making. 21(S2). 129–129. 8 indexed citations
9.
Zeng, Kun, et al.. (2021). Hypersonic Vehicle Trajectory Classification Using Improved CNN-LSTM Model. 691–696. 7 indexed citations
10.
Zeng, Kun, et al.. (2020). An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation. JMIR Medical Informatics. 8(7). e17832–e17832. 15 indexed citations
11.
Xu, Qingzhen, et al.. (2020). A Convolutional Attention Residual Network for Stereo Matching. IEEE Access. 8. 50828–50842. 16 indexed citations
12.
Zeng, Kun, et al.. (2020). Occlusion-Guided Vertical Retargeting For Stereoscopic Images Based On Pixel Fusion. 30. 2775–2779. 2 indexed citations
13.
Zeng, Kun, et al.. (2020). Sketch-Based Shape Retrieval via Best View Selection and a Cross-Domain Similarity Measure. IEEE Transactions on Multimedia. 1–1. 26 indexed citations
14.
Xu, Qingzhen, et al.. (2019). A novel edge-oriented framework for saliency detection enhancement. Image and Vision Computing. 87. 1–12. 21 indexed citations
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Qiao, Aike & Kun Zeng. (2013). Numerical simulation of hemodynamics in intracranial saccular aneurysm treated with a novel stent. Neurological Research. 35(7). 701–708. 2 indexed citations
17.
Zeng, Kun. (2011). Secure Cooperative Spectrum Sensing based on Trusted Nodes Assistance. Signal Processing.
18.
Zeng, Kun, et al.. (2011). Color style transfer by constraint locally linear embedding. 290. 1121–1124. 2 indexed citations
19.
Zeng, Kun, Mingtian Zhao, Caiming Xiong, & Song‐Chun Zhu. (2009). From image parsing to painterly rendering. ACM Transactions on Graphics. 29(1). 1–11. 106 indexed citations
20.
Peng, Qihang, Kun Zeng, Jun Wang, & Shaoqian Li. (2006). A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context. 1–5. 93 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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