Han Deng

1.3k total citations
56 papers, 693 citations indexed

About

Han Deng is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Oral Surgery. According to data from OpenAlex, Han Deng has authored 56 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Oral Surgery. Recurrent topics in Han Deng's work include Dental Radiography and Imaging (13 papers), 3D Shape Modeling and Analysis (11 papers) and Anatomy and Medical Technology (9 papers). Han Deng is often cited by papers focused on Dental Radiography and Imaging (13 papers), 3D Shape Modeling and Analysis (11 papers) and Anatomy and Medical Technology (9 papers). Han Deng collaborates with scholars based in United States, China and South Korea. Han Deng's co-authors include Jaime Gateño, James J. Xia, Tianshu Kuang, Pew‐Thian Yap, Chunfeng Lian, Dinggang Shen, I-Hong Hou, Deqiang Xiao, Li Wang and Steve H. Fung and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Han Deng

52 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Deng United States 17 234 189 171 150 136 56 693
Stanley Dunn United States 16 152 0.6× 125 0.7× 86 0.5× 63 0.4× 94 0.7× 46 615
Ewa Piętka Poland 18 402 1.7× 226 1.2× 289 1.7× 261 1.7× 333 2.4× 81 1.3k
Muthu Subash Kavitha Japan 15 149 0.6× 218 1.2× 217 1.3× 190 1.3× 211 1.6× 76 835
Yuanfeng Zhou China 15 397 1.7× 147 0.8× 114 0.7× 126 0.8× 81 0.6× 106 787
Sukun Tian China 15 138 0.6× 305 1.6× 116 0.7× 124 0.8× 139 1.0× 39 679
Yangzhou Gan China 11 194 0.8× 189 1.0× 114 0.7× 27 0.2× 81 0.6× 33 470
Hongjian Shi China 11 226 1.0× 64 0.3× 91 0.5× 34 0.2× 39 0.3× 47 481
Fuqing Duan China 15 531 2.3× 59 0.3× 90 0.5× 86 0.6× 65 0.5× 98 853
Julien Jomier United States 13 259 1.1× 20 0.1× 175 1.0× 48 0.3× 308 2.3× 32 746
Soon-Yong Park South Korea 17 464 2.0× 47 0.2× 109 0.6× 31 0.2× 42 0.3× 121 945

Countries citing papers authored by Han Deng

Since Specialization
Citations

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

Fields of papers citing papers by Han Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Han Deng. A scholar is included among the top collaborators of Han Deng 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 Han Deng. Han Deng 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.
Fang, Xi, Daeseung Kim, Xuanang Xu, et al.. (2024). Correspondence attention for facial appearance simulation. Medical Image Analysis. 93. 103094–103094. 6 indexed citations
2.
Kim, Daeseung, Xuanang Xu, Xi Fang, et al.. (2024). Learning soft tissue deformation from incremental simulations. Medical Physics. 52(3). 1914–1925.
3.
Liu, Qin, Han Deng, Tianshu Kuang, et al.. (2024). Improving image segmentation with contextual and structural similarity. Pattern Recognition. 152. 110489–110489. 2 indexed citations
4.
Fang, Xi, Han Deng, Tianshu Kuang, et al.. (2024). Patient-specific reference model estimation for orthognathic surgical planning. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1439–1447. 1 indexed citations
5.
Xu, Xuanang, Han Deng, Tianshu Kuang, et al.. (2023). Machine Learning Effectively Diagnoses Mandibular Deformity Using Three-Dimensional Landmarks. Journal of Oral and Maxillofacial Surgery. 82(2). 181–190. 1 indexed citations
6.
Gateño, Jaime, et al.. (2023). Helical distraction is superior to linear and circular distraction in mandibular distraction osteogenesis: an in silico study. International Journal of Oral and Maxillofacial Surgery. 53(1). 89–99. 2 indexed citations
7.
Chen, Xu, Tianshu Kuang, Han Deng, et al.. (2022). Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(11). 3445–3453. 31 indexed citations
8.
Deng, Han, Tianshu Kuang, Jaime Gateño, et al.. (2022). Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery. International Journal of Oral and Maxillofacial Surgery. 52(7). 793–800. 16 indexed citations
9.
Chen, Xu, Chunfeng Lian, Li Wang, et al.. (2021). Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Analysis. 71. 102060–102060. 42 indexed citations
10.
Deng, Han, Deqiang Xiao, Chunfeng Lian, et al.. (2021). DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. Lecture notes in computer science. 12904. 478–487. 6 indexed citations
11.
Xiao, Deqiang, Han Deng, Tianshu Kuang, et al.. (2021). A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. Lecture notes in computer science. 12904. 469–477. 4 indexed citations
12.
Gateño, Jaime, Jeryl D. English, Helder B. Jacob, et al.. (2021). Midsagittal Plane First: Building a Strong Facial Reference Frame for Computer-Aided Surgical Simulation. Journal of Oral and Maxillofacial Surgery. 80(4). 641–650. 4 indexed citations
13.
Liu, Qin, Han Deng, Chunfeng Lian, et al.. (2021). SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. Lecture notes in computer science. 12966. 606–614. 30 indexed citations
14.
Kim, Daeseung, Tianshu Kuang, Jaime Gateño, et al.. (2021). A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect. Medical Image Analysis. 72. 102095–102095. 14 indexed citations
15.
Chen, Xu, Chunfeng Lian, Li Wang, et al.. (2020). Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Transactions on Medical Imaging. 40(1). 274–285. 32 indexed citations
16.
Deng, Han, Jaime Gateño, Peng Yuan, et al.. (2020). Clinical Evaluation of Digital Dental Articulation for One-Piece Maxillary Surgery. Journal of Oral and Maxillofacial Surgery. 78(5). 799–805. 9 indexed citations
17.
Chen, Xu, Chunfeng Lian, Li Wang, et al.. (2019). One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Transactions on Medical Imaging. 39(3). 787–796. 27 indexed citations
18.
Deng, Han, Peng Yuan, Jaime Gateño, et al.. (2019). An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery. Lecture notes in computer science. 11768. 345–353. 9 indexed citations
19.
Xiao, Deqiang, Li Wang, Han Deng, et al.. (2019). Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. Lecture notes in computer science. 11768. 327–335. 5 indexed citations
20.
Wang, Li, Jiawei Chen, Dong Nie, et al.. (2018). Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. Lecture notes in computer science. 11073. 720–727. 33 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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