Sukun Tian

959 total citations
39 papers, 679 citations indexed

About

Sukun Tian is a scholar working on Oral Surgery, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sukun Tian has authored 39 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oral Surgery, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Sukun Tian's work include AI in cancer detection (9 papers), Dental Radiography and Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sukun Tian is often cited by papers focused on AI in cancer detection (9 papers), Dental Radiography and Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sukun Tian collaborates with scholars based in China, Hong Kong and United States. Sukun Tian's co-authors include Ning Dai, Qing Yu, Haifeng Ma, Pan Huang, Yuchun Sun, Xiaosheng Cheng, Miaohui Wang, Antonella Santone, Yangmin Li and Francesco Mercaldo and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Materials & Design.

In The Last Decade

Sukun Tian

35 papers receiving 669 citations

Peers

Sukun Tian
Tai-Chiu Hsung Hong Kong
WooSang Shin South Korea
Yeong-Gil Shin South Korea
Han Deng United States
Jaewoo Park South Korea
Tai-Chiu Hsung Hong Kong
Sukun Tian
Citations per year, relative to Sukun Tian Sukun Tian (= 1×) peers Tai-Chiu Hsung

Countries citing papers authored by Sukun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Sukun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukun Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Sukun Tian. A scholar is included among the top collaborators of Sukun Tian 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 Sukun Tian. Sukun Tian 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.
Cui, Hao, et al.. (2025). Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images. Interdisciplinary Sciences Computational Life Sciences. 17(4). 917–934. 1 indexed citations
3.
Tian, Sukun, et al.. (2024). RADDA-Net: Residual attention-based dual discriminator adversarial network for surface defect detection. Engineering Applications of Artificial Intelligence. 136. 108887–108887. 6 indexed citations
4.
Huang, Pan, Peng He, Yi‐Fang Ping, et al.. (2024). MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. Information Fusion. 108. 102333–102333. 19 indexed citations
5.
Ye, Hongqiang, Sukun Tian, Hu Chen, et al.. (2024). Template‐aided and freehand guiding plane preparation for removable partial dentures: A randomized controlled trial. Journal of Prosthodontics. 33(9). 869–877. 2 indexed citations
6.
Jin, Yaming, et al.. (2024). Efficient complete denture metal base design via a dental feature-driven segmentation network. Computers in Biology and Medicine. 175. 108550–108550. 4 indexed citations
7.
8.
Wang, Yujun, Xing Yang, Qiushi Wang, et al.. (2023). The Swin-Transformer network based on focal loss is used to identify images of pathological subtypes of lung adenocarcinoma with high similarity and class imbalance. Journal of Cancer Research and Clinical Oncology. 149(11). 8581–8592. 15 indexed citations
9.
Xie, Wuyuan, Shukang Wang, Sukun Tian, et al.. (2023). Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2965–2973.
10.
Huang, Pan, Xiaoli Zhou, Peng He, et al.. (2022). Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. Computers in Biology and Medicine. 154. 106447–106447. 21 indexed citations
11.
Zhou, Xiaoli, et al.. (2022). ASI-DBNet: An Adaptive Sparse Interactive ResNet-Vision Transformer Dual-Branch Network for the Grading of Brain Cancer Histopathological Images. Interdisciplinary Sciences Computational Life Sciences. 15(1). 15–31. 34 indexed citations
12.
Tian, Sukun, Pan Huang, Haifeng Ma, et al.. (2022). CASDD: Automatic Surface Defect Detection Using a Complementary Adversarial Network. IEEE Sensors Journal. 22(20). 19583–19595. 32 indexed citations
13.
Tian, Sukun, Zhenyang Li, Luca Fiorenza, et al.. (2022). A Dual Discriminator Adversarial Learning Approach for Dental Occlusal Surface Reconstruction. Journal of Healthcare Engineering. 2022. 1–14. 24 indexed citations
14.
Huang, Pan, Peng He, Sukun Tian, et al.. (2022). A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. IEEE Transactions on Medical Imaging. 42(1). 15–28. 64 indexed citations
15.
Dai, Ning, et al.. (2021). Principal stress lines based design method of lightweight and low vibration amplitude gear web. Mathematical Biosciences & Engineering. 18(6). 7060–7075. 5 indexed citations
16.
Ma, Haifeng, et al.. (2021). Adaptive Barrier Sliding-Mode Control Considering State-Dependent Uncertainty. IEEE Transactions on Circuits & Systems II Express Briefs. 68(10). 3301–3305. 12 indexed citations
17.
Guo, Chuang, et al.. (2020). Morphological design of missing tooth driven by high-resolution deep generation network. Journal of Image and Graphics. 25(10). 2249–2258. 2 indexed citations
18.
Tian, Sukun, et al.. (2020). Three-dimensional mandibular motion trajectory-tracking system based on BP neural network. Mathematical Biosciences & Engineering. 17(5). 5709–5726. 25 indexed citations
19.
Dai, Ning, et al.. (2019). The extraction method of tooth preparation margin line based on S‐Octree CNN. International Journal for Numerical Methods in Biomedical Engineering. 35(10). e3241–e3241. 49 indexed citations
20.
Tian, Sukun, Ning Dai, Xiaosheng Cheng, et al.. (2018). Relative trajectory-driven virtual dynamic occlusal adjustment for dental restorations. Medical & Biological Engineering & Computing. 57(1). 59–70. 11 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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