Xiaotong Lu

642 total citations · 1 hit paper
9 papers, 435 citations indexed

About

Xiaotong Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaotong Lu has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaotong Lu's work include Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xiaotong Lu is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Image Processing Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Xiaotong Lu collaborates with scholars based in China, United States and South Korea. Xiaotong Lu's co-authors include Weisheng Dong, Guangming Shi, Fangfang Wu, Wotao Yin, Peiyao Wang, Zhonglong Zheng, Fan Yang, Jianyang Wang, Nan Bi and Yuan Tian and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Xiaotong Lu

9 papers receiving 425 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.

Denoising Prior Driven Deep Neural Network for Image Restoration

2018 364 citations Weisheng Dong, Peiyao Wang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaotong Lu China	5	304	160	76	69	66	9	435
Markku Mäkitalo Finland	9	529 1.7×	257 1.6×	129 1.7×	127 1.8×	83 1.3×	25	684
Pei Dong China	11	263 0.9×	61 0.4×	48 0.6×	85 1.2×	115 1.7×	36	512
Carlos Hinojosa Colombia	10	131 0.4×	106 0.7×	60 0.8×	85 1.2×	53 0.8×	26	319
Ramsin Khoshabeh United States	8	329 1.1×	150 0.9×	99 1.3×	75 1.1×	33 0.5×	12	462
Sebastian Seung United States	3	397 1.3×	208 1.3×	29 0.4×	45 0.7×	42 0.6×	5	537
Michael Iliadis United States	3	140 0.5×	47 0.3×	76 1.0×	103 1.5×	71 1.1×	6	361
Mejdi Trimeche Finland	7	538 1.8×	310 1.9×	51 0.7×	65 0.9×	32 0.5×	17	672
Huiqian Du China	15	417 1.4×	298 1.9×	143 1.9×	115 1.7×	173 2.6×	59	647
Benny Lövström Sweden	9	481 1.6×	229 1.4×	35 0.5×	63 0.9×	47 0.7×	19	562

Countries citing papers authored by Xiaotong Lu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotong Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Lu

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

9 of 9 papers shown

1.

Lu, Xiaotong, et al.. (2025). Growing-before-pruning: A progressive neural architecture search strategy via group sparsity and deterministic annealing. Pattern Recognition. 166. 111697–111697. 1 indexed citations

2.

Liang, Bin, Xiaotong Lu, Lipin Liu, et al.. (2024). Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis. Radiotherapy and Oncology. 196. 110261–110261. 4 indexed citations

3.

Yang, Hongmin, et al.. (2024). Differential Analysis of Various Moisture Phases on N₂ Displacement of CH₄ in Coal. ACS Omega. 9(13). 15633–15640. 1 indexed citations

4.

Lu, Xiaotong. (2023). Taekwondo motion image recognition model based on hybrid neural network algorithm for wearable sensor of Internet of Things. Scientific Reports. 13(1). 13097–13097. 2 indexed citations

5.

Wu, Yang, Dingheng Wang, Xiaotong Lu, et al.. (2022). Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. arXiv (Cornell University). 19(5). 366–411. 12 indexed citations

6.

Liang, Bin, Yuan Tian, Zhaohui Su, et al.. (2021). A deep learning‐based dual‐omics prediction model for radiation pneumonitis. Medical Physics. 48(10). 6247–6256. 21 indexed citations

7.

Lu, Xiaotong, et al.. (2020). Beyond Network Pruning: a Joint Search-and-Training Approach. 2583–2590. 11 indexed citations

8.

Lu, Xiaotong, et al.. (2019). Learning a Deep Vector Quantization Network for Image Compression. IEEE Access. 7. 118815–118825. 19 indexed citations

9.

Dong, Weisheng, Peiyao Wang, Wotao Yin, et al.. (2018). Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(10). 2305–2318. 364 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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