Kun Wang

2.8k total citations
124 papers, 1.8k citations indexed

About

Kun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kun Wang has authored 124 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kun Wang's work include Advanced Neural Network Applications (23 papers), COVID-19 diagnosis using AI (12 papers) and Medical Image Segmentation Techniques (11 papers). Kun Wang is often cited by papers focused on Advanced Neural Network Applications (23 papers), COVID-19 diagnosis using AI (12 papers) and Medical Image Segmentation Techniques (11 papers). Kun Wang collaborates with scholars based in China, United States and Hong Kong. Kun Wang's co-authors include Lei He, Xiaohong Zhang, Sheng Huang, Xiaogang Wang, Wanli Ouyang, Qin Qin, Wenjun Duan, Qingbo Yu, Gao‐Jun Teng and Song Wen and has published in prestigious journals such as Nature Communications, Energy & Environmental Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kun Wang

112 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Wang China 20 665 328 325 297 189 124 1.8k
Guokai Zhang China 21 286 0.4× 266 0.8× 246 0.8× 266 0.9× 271 1.4× 113 1.8k
Zhiqiang Tian China 24 969 1.5× 440 1.3× 325 1.0× 429 1.4× 86 0.5× 148 2.3k
Hongjun Wang China 18 358 0.5× 316 1.0× 217 0.7× 174 0.6× 103 0.5× 92 1.5k
Cheng Chen China 24 455 0.7× 257 0.8× 335 1.0× 225 0.8× 150 0.8× 156 1.8k
M. Pallikonda Rajasekaran India 25 592 0.9× 329 1.0× 176 0.5× 262 0.9× 110 0.6× 176 2.0k
Min Liu China 29 1.0k 1.5× 308 0.9× 146 0.4× 204 0.7× 150 0.8× 226 3.2k
Yan Wu China 23 626 0.9× 391 1.2× 86 0.3× 171 0.6× 108 0.6× 231 2.4k
Pin Wang China 21 559 0.8× 809 2.5× 429 1.3× 267 0.9× 69 0.4× 170 2.3k

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Wang. A scholar is included among the top collaborators of Kun 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 Kun Wang. Kun Wang 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.
Liu, Jin, et al.. (2025). DECT sparse reconstruction based on hybrid spectrum data generative diffusion model. Computer Methods and Programs in Biomedicine. 261. 108597–108597.
2.
Liu, Jin, Tong Jin, Kun Wang, et al.. (2025). LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 1 indexed citations
3.
Peng, Feng, Kun Wang, Lu Zhang, et al.. (2025). Synchronous dimension-crystallization engineering enables highly efficient 2D/3D tin perovskite solar cells. Energy & Environmental Science. 18(9). 4108–4119. 12 indexed citations
4.
Wang, Kun, Yuting Lü, Jin Liu, & Xiaohong Zhang. (2025). GAML: Geometry-Aware Mutual Learning for polyp segmentation. Biomedical Signal Processing and Control. 108. 107965–107965. 1 indexed citations
5.
Feng, Xiangchu, et al.. (2024). An end-to-end Graph Convolutional Network for Semi-supervised Subspace Clustering via label self-expressiveness. Knowledge-Based Systems. 286. 111393–111393. 4 indexed citations
6.
Yu, Zhenyu, Huaqing Xie, Rui Guo, et al.. (2024). High-quality utilization of raw coke oven gas for hydrogen production based on CO2 adsorption-enhanced reforming. Energy. 305. 132335–132335. 12 indexed citations
7.
Fang, Junfeng, Zhengyi Yang, Zhiyuan Liu, et al.. (2024). MolTC: Towards Molecular Relational Modeling In Language Models. 1943–1958. 8 indexed citations
8.
Wang, Kun, et al.. (2024). An Improved ResNet50 for Environment Image Classification. Procedia Computer Science. 242. 1000–1007. 5 indexed citations
9.
Lu, Junli, et al.. (2024). PyVisVue3D3: Python visualization from hierarchy tree to call graph. SoftwareX. 26. 101689–101689. 1 indexed citations
10.
Lu, Junli, et al.. (2024). PyCinemetrics: Computational film studies tool based on deep learning and PySide2. SoftwareX. 26. 101686–101686.
11.
Wang, Kun, Xiaohong Zhang, Yuting Lü, et al.. (2023). GSAL: Geometric structure adversarial learning for robust medical image segmentation. Pattern Recognition. 140. 109596–109596. 9 indexed citations
12.
Gao, Le, et al.. (2023). Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning. Sustainability. 15(13). 10269–10269. 4 indexed citations
13.
Qiu, Haonan, et al.. (2023). Few-Shot Forgery Detection Via Guided Adversarial Interpolation. SSRN Electronic Journal. 1 indexed citations
14.
Wang, Kun, et al.. (2023). Oriented Object Detection in Remote Sensing Using an Enhanced Feature Pyramid Network. Electronics. 12(17). 3559–3559. 1 indexed citations
15.
Zhang, Peng, Jing Lu, Yaqin Wang, et al.. (2023). Identification of Natural Nearly or Nanoscale Particles in Bituminous Coal: An Important Form of Elements in Coal. Sustainability. 15(7). 6276–6276. 2 indexed citations
16.
Wang, Kun, Xiaohong Zhang, Xiangbo Zhang, et al.. (2022). EANet: Iterative edge attention network for medical image segmentation. Pattern Recognition. 127. 108636–108636. 89 indexed citations
17.
Ma, Xiaohua, Jingxian Gu, Kun Wang, et al.. (2019). Identification of a molecular subtyping system associated with the prognosis of Asian hepatocellular carcinoma patients receiving liver resection. Scientific Reports. 9(1). 7073–7073. 8 indexed citations
18.
Wang, Kun, et al.. (2014). Review of reconstruction algorithms with incomplete projection data of computed tomography. Acta Physica Sinica. 63(5). 58701–58701. 18 indexed citations
19.
Liu, Junhua, Xiaoyun Zhang, Wuqiang Guan, et al.. (2014). Calretinin-positive L5a pyramidal neurons in the development of the paralemniscal pathway in the barrel cortex. Molecular Brain. 7(1). 84–84. 10 indexed citations
20.
Wang, Kun. (2007). Extracting and Identifying Point Symbols Based on Distance Transform. Wuhan Daxue xuebao. Xinxi kexue ban. 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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