Zhengda Lu

590 total citations
33 papers, 375 citations indexed

About

Zhengda Lu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Zhengda Lu has authored 33 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Radiation. Recurrent topics in Zhengda Lu's work include Advanced Vision and Imaging (7 papers), Advanced Radiotherapy Techniques (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Zhengda Lu is often cited by papers focused on Advanced Vision and Imaging (7 papers), Advanced Radiotherapy Techniques (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Zhengda Lu collaborates with scholars based in China, Singapore and Saudi Arabia. Zhengda Lu's co-authors include Jun Xiao, Ying Wang, Xinye Ni, Yiqun Wang, Kai Xie, Xiaopeng Zhang, Jiawei Sun, Jianwei Guo, Jun Xiao and Tao Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Zhengda Lu

29 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengda Lu China	12	159	137	70	69	60	33	375
Lifang Wei China	12	253 1.6×	101 0.7×	64 0.9×	22 0.3×	40 0.7×	58	416
Haisong Liu China	12	166 1.0×	45 0.3×	33 0.5×	14 0.2×	45 0.8×	50	404
Biwen Lei China	6	150 0.9×	73 0.5×	52 0.7×	41 0.6×	40 0.7×	10	276
Ming Chuang United States	12	512 3.2×	178 1.3×	20 0.3×	62 0.9×	77 1.3×	14	944
Daniel Kondermann Germany	11	370 2.3×	128 0.9×	61 0.9×	19 0.3×	49 0.8×	24	574
Luděk Žalud Czechia	12	120 0.8×	19 0.1×	20 0.3×	87 1.3×	43 0.7×	42	400
Qi Song China	11	156 1.0×	116 0.8×	160 2.3×	9 0.1×	101 1.7×	35	515
Regina Pohle-Fröhlich Germany	7	221 1.4×	99 0.7×	71 1.0×	31 0.4×	72 1.2×	40	396
Amos Sironi Switzerland	7	282 1.8×	73 0.5×	89 1.3×	10 0.1×	21 0.3×	11	429

Countries citing papers authored by Zhengda Lu

Since Specialization

Citations

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

Fields of papers citing papers by Zhengda Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengda Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengda Lu. A scholar is included among the top collaborators of Zhengda Lu 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 Zhengda Lu. Zhengda Lu 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

Lu, Zhengda, et al.. (2025). LSF-Animation: Label-Free Speech-Driven Facial Animation via Implicit Feature Representation. 1–12.

Huang, Siying, Xin Yang, Zhengda Lu, et al.. (2025). L 2 -GNN: Graph neural networks with fast spectral filters using twice linear parameterization. Graphical Models. 140. 101276–101276.

Lu, Zhengda, et al.. (2024). FC-4DFS: Frequency-controlled Flexible 4D Facial Expression Synthesizing. 10882–10890. 1 indexed citations

Xiao, Jun, et al.. (2024). DepthGAN: GAN-based depth generation from semantic layouts. Computational Visual Media. 10(3). 505–522. 1 indexed citations

Lu, Zhengda, et al.. (2023). SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation Transformer With Spherical Geometry. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12474–12489. 9 indexed citations

Wang, Teng, Weiliang Meng, Zhengda Lu, et al.. (2023). RC-Net: Row and Column Network with Text Feature for Parsing Floor Plan Images. Journal of Computer Science and Technology. 38(3). 526–539. 3 indexed citations

Wang, Yiqun, et al.. (2023). Recovering Detailed Neural Implicit Surfaces from Blurry Images. 1–2.

Li, Chunying, Zhengda Lu, Mu He, et al.. (2022). Augmented reality‐guided positioning system for radiotherapy patients. Journal of Applied Clinical Medical Physics. 23(3). e13516–e13516. 12 indexed citations

Li, Jingliang, Zhengda Lu, Yiqun Wang, Ying Wang, & Jun Xiao. (2022). DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis. Proceedings of the 30th ACM International Conference on Multimedia. 5593–5601. 13 indexed citations

10.

Lu, Zhengda, et al.. (2022). ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3653–3661. 38 indexed citations

11.

Xie, Kai, Zhengda Lu, Chunying Li, et al.. (2022). Inpainting the metal artifact region in MRI images by using generative adversarial networks with gated convolution. Medical Physics. 49(10). 6424–6438. 7 indexed citations

12.

Xie, Kai, Zhengda Lu, Chunying Li, et al.. (2021). Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy. Radiation Oncology. 16(1). 202–202. 41 indexed citations

13.

Lu, Zhengda, et al.. (2021). Research on obtaining pseudo CT images based on stacked generative adversarial network. Quantitative Imaging in Medicine and Surgery. 11(5). 1983–2000. 8 indexed citations

14.

Li, Chunying, et al.. (2021). Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy. Frontiers in Oncology. 11. 603844–603844. 35 indexed citations

15.

Sun, Jiawei, Cong Liu, Chunying Li, et al.. (2021). CrossModalNet: exploiting quality preoperative images for multimodal image registration. Physics in Medicine and Biology. 66(17). 175002–175002. 2 indexed citations

16.

Sun, Jiawei, Chunying Li, Zhengda Lu, et al.. (2021). TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision. Computer Methods and Programs in Biomedicine. 215. 106600–106600. 40 indexed citations

17.

Lu, Zhengda, et al.. (2021). Comparison of different treatment planning approaches using VMAT for head and neck cancer patients with metallic dental fillings. SHILAP Revista de lepidopterología. 2(3). 128–133. 1 indexed citations

18.

Xie, Kai, et al.. (2020). Generation of Virtual Non-Contrast CT From Intravenous Enhanced CT in Radiotherapy Using Convolutional Neural Networks. Frontiers in Oncology. 10. 1715–1715. 7 indexed citations

19.

Lu, Zhengda, Jianwei Guo, Jun Xiao, et al.. (2020). Extracting Cycle-aware Feature Curve Networks from 3D Models. Computer-Aided Design. 131. 102949–102949. 12 indexed citations

20.

Yang, Jianwei, et al.. (2020). Quasi Fourier-Mellin Transform for Affine Invariant Features. IEEE Transactions on Image Processing. 29. 4114–4129. 15 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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