Lu Wen

1.1k total citations · 1 hit paper
19 papers, 765 citations indexed

About

Lu Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Artificial Intelligence. According to data from OpenAlex, Lu Wen has authored 19 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Radiation and 5 papers in Artificial Intelligence. Recurrent topics in Lu Wen's work include Advanced Radiotherapy Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Lu Wen is often cited by papers focused on Advanced Radiotherapy Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Lu Wen collaborates with scholars based in China, Australia and Portugal. Lu Wen's co-authors include W. B. Mori, J. Vieira, C. Joshi, Ricardo Fonseca, F. S. Tsung, M. Tzoufras, Jianghong Xiao, Xingchen Peng, Xi Wu and Yan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Knowledge-Based Systems.

In The Last Decade

Lu Wen

16 papers receiving 737 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generating multi-GeV electron bunches using single stage laser wakefield acceleration in a 3D nonlinear regime

2007 657 citations Lu Wen, M. Tzoufras et al. Physical Review Special Topics - Accelerators and Beams profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Wen China	7	645	421	396	144	138	19	765
R. De Angelis Italy	16	549 0.9×	211 0.5×	362 0.9×	135 0.9×	101 0.7×	76	735
Ming Zeng China	11	372 0.6×	278 0.7×	277 0.7×	61 0.4×	63 0.5×	34	692
Hans-Peter Schlenvoigt Germany	16	893 1.4×	491 1.2×	390 1.0×	318 2.2×	239 1.7×	35	1.0k
M. Donovan United States	11	317 0.5×	339 0.8×	157 0.4×	112 0.8×	109 0.8×	33	560
A. Sävert Germany	17	640 1.0×	496 1.2×	271 0.7×	134 0.9×	95 0.7×	41	823
S. Kalmykov United States	16	818 1.3×	651 1.5×	497 1.3×	128 0.9×	122 0.9×	60	933
J. Jacoby Germany	15	597 0.9×	494 1.2×	355 0.9×	87 0.6×	199 1.4×	83	989
Cristián Pavéz Chile	15	588 0.9×	223 0.5×	189 0.5×	267 1.9×	45 0.3×	77	798
Alexander Debus Germany	14	857 1.3×	417 1.0×	312 0.8×	345 2.4×	133 1.0×	41	1.0k
Adrien Leblanc France	12	464 0.7×	528 1.3×	195 0.5×	38 0.3×	39 0.3×	29	695

Countries citing papers authored by Lu Wen

Since Specialization

Citations

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

Fields of papers citing papers by Lu Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Wen

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

All Works

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19 of 19 papers shown

Wen, Lu, et al.. (2024). DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 12 indexed citations

Wen, Lu, Jianghong Xiao, Xi Wu, et al.. (2024). Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1119–1129. 7 indexed citations

Wen, Lu, et al.. (2024). Content-Aware Adversarial Network with Gradient-Enhanced Dose Rectification for Radiotherapy Dose Prediction. 1–4.

Wen, Lu, et al.. (2024). Semantic-Aware Adaptive Prompt Learning for Universal Multi-Source Domain Adaptation. IEEE Signal Processing Letters. 31. 1444–1448. 5 indexed citations

Wen, Lu, et al.. (2024). Alleviating Class Imbalance in Semi-Supervised Multi-Organ Segmentation via Balanced Subclass Regularization. IEEE Signal Processing Letters. 31. 2450–2454.

Wen, Lu, et al.. (2024). Semi-supervised Domain Adaptation for Semantic Segmentation via Active Learning with Feature- and Semantic-Level Alignments. IEEE Transactions on Intelligent Vehicles. 1–11. 2 indexed citations

Wen, Lu, et al.. (2024). Triplet-Constraint Transformer with Multi-Scale Refinement for Dose Prediction in Radiotherapy. 1–4.

Xu, Yuanyuan, Lu Wen, Jianghong Xiao, et al.. (2024). DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only. Knowledge-Based Systems. 304. 112536–112536. 1 indexed citations

Wen, Lu, et al.. (2024). Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition. 4236–4245. 1 indexed citations

10.

Wen, Lu, et al.. (2024). Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation. 1–6. 2 indexed citations

11.

Wen, Lu, Jianghong Xiao, Jie Zeng, et al.. (2023). Multi-level progressive transfer learning for cervical cancer dose prediction. Pattern Recognition. 141. 109606–109606. 23 indexed citations

12.

Wen, Lu, Jianghong Xiao, Chen Zu, et al.. (2023). DoseTransfer: A Transformer Embedded Model With Transfer Learning for Radiotherapy Dose Prediction of Cervical Cancer. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(1). 95–104. 7 indexed citations

13.

Wen, Lu, Jianghong Xiao, Shuai Tan, et al.. (2023). A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction. International Journal of Neural Systems. 33(8). 2350043–2350043. 19 indexed citations

14.

Wen, Lu & Robert J. O’Reilly. (2022). Homolytic B–Cl bond dissociation energies of chloroborane-type molecules. SHILAP Revista de lepidopterología. 23(49). 9–18. 3 indexed citations

15.

Wen, Lu, Haixing Zhao, Lei Meng, & Feng Hu. (2020). Double-layer hypernetwork model with bimodal peak characteristics. Acta Physica Sinica. 70(1). 18901–18901. 5 indexed citations

16.

Zhang, Chaojin, et al.. (2018). Influence of frequency detuning on carrier-wave Rabi flop-related phenomena in the extreme nonlinear optics regime. The European Physical Journal D. 72(11). 4 indexed citations

17.

Wen, Lu, et al.. (2015). Montelukast for Postinfectious Cough: A Systematic Review of Randomized Controlled Trials. West Indian Medical Journal. 65(2). 350–357. 1 indexed citations

18.

Aierken, Abuduwayiti, Qi Guo, Teppo Huhtio, et al.. (2012). Optical properties of electron beam and -ray irradiated InGaAs/GaAs quantum well and quantum dot structures. Radiation Physics and Chemistry. 83. 42–47. 16 indexed citations

19.

Wen, Lu, M. Tzoufras, C. Joshi, et al.. (2007). Generating multi-GeV electron bunches using single stage laser wakefield acceleration in a 3D nonlinear regime. Physical Review Special Topics - Accelerators and Beams. 10(6). 657 indexed citations breakdown →

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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