Qing Lyu

1.2k total citations · 1 hit paper
25 papers, 668 citations indexed

About

Qing Lyu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qing Lyu has authored 25 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qing Lyu's work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and Topic Modeling (5 papers). Qing Lyu is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and Topic Modeling (5 papers). Qing Lyu collaborates with scholars based in China, United States and Australia. Qing Lyu's co-authors include Ge Wang, Hongming Shan, Chuang Niu, Christopher T. Whitlow, Josh Tan, Janardhana Ponnatapura, Michael E. Zapadka, Kyle J. Myers, Dan Roth and Hongming Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Medical Imaging.

In The Last Decade

Qing Lyu

24 papers receiving 658 citations

Hit Papers

Translating radiology reports into plain language using C... 2023 2026 2024 2025 2023 50 100 150 200
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.

  1. Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
    2023 220 citations Qing Lyu, Josh Tan et al. SHILAP Revista de lepidopterología profile →

Peers

Qing Lyu
Qinghao Ye China
Edward Korot United Kingdom
Christian Leibig Germany
Carl Sabottke United States
Frank Kulwa China
Fuhua Yan China
Saeed Seyyedi Germany
Jonathan Passerat‐Palmbach United Kingdom
Jiong He Singapore
Murat Seçkin Ayhan Germany
Qinghao Ye China
Qing Lyu
Citations per year, relative to Qing Lyu Qing Lyu (= 1×) peers Qinghao Ye

Countries citing papers authored by Qing Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lyu. A scholar is included among the top collaborators of Qing Lyu 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 Qing Lyu. Qing Lyu 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.
Niu, Chuang, Qing Lyu, Christopher D. Carothers, et al.. (2025). Medical multimodal multitask foundation model for lung cancer screening. Nature Communications. 16(1). 1523–1523. 9 indexed citations
2.
Lyu, Qing, Kumar Shridhar, Chaitanya Malaviya, et al.. (2025). Calibrating Large Language Models with Sample Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 39(18). 19260–19268. 1 indexed citations
3.
Lyu, Qing, Shreya Havaldar, Adam Stein, et al.. (2023). Faithful Chain-of-Thought Reasoning. 305–329. 44 indexed citations
4.
Lyu, Qing, Josh Tan, Michael E. Zapadka, et al.. (2023). Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. SHILAP Revista de lepidopterología. 6(1). 9–9. 220 indexed citations breakdown →
5.
Lyu, Qing, et al.. (2023). Explanation-based Finetuning Makes Models More Robust to Spurious Cues. 4420–4441. 2 indexed citations
6.
Lyu, Qing, E. McTyre, Ümit Topaloĝlu, et al.. (2022). A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns. 3(11). 100613–100613. 27 indexed citations
7.
Lyu, Qing, Ying Li, Hongfeng Ma, et al.. (2022). A data generation pipeline for cardiac vessel segmentation and motion artifact grading. 61–61. 2 indexed citations
8.
Lyu, Qing, et al.. (2022). Is “My Favorite New Movie” My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5286–5302. 1 indexed citations
9.
Lyu, Qing, Qilin Fan, Yongqiang Lyu, et al.. (2022). JOSP: Joint Optimization of Flow Path Scheduling and Virtual Network Function Placement for Delay-Sensitive Applications. Mobile Networks and Applications. 27(4). 1642–1658.
10.
Lyu, Qing, Hongming Shan, Yibin Xie, et al.. (2021). Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Transactions on Medical Imaging. 40(8). 2170–2181. 49 indexed citations
11.
Lyu, Qing, Li Zhang, & Chris Callison-Burch. (2021). Goal-Oriented Script Construction.. 184–200. 1 indexed citations
12.
Guo, Xiaodong, Yiming Lei, Peng He, et al.. (2021). An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT. Physics in Medicine and Biology. 66(24). 244001–244001. 10 indexed citations
13.
Lyu, Qing, Hongming Shan, & Ge Wang. (2020). MRI Super-Resolution With Ensemble Learning and Complementary Priors. IEEE Transactions on Computational Imaging. 6. 615–624. 82 indexed citations
14.
Lyu, Qing, Minghao Chen, & Xiang Chen. (2020). Learning color space adaptation from synthetic to real images of cirrus clouds. The Visual Computer. 37(8). 2341–2353. 1 indexed citations
15.
Teng, Yueyang, Shouliang Qi, Fangfang Han, et al.. (2020). A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. Neurocomputing. 387. 78–90. 2 indexed citations
16.
Lyu, Qing, Heng Li, Xiaohong Sui, et al.. (2019). A Three-Dimensional Microelectrode Array to Generate Virtual Electrodes for Epiretinal Prosthesis Based on a Modeling Study. International Journal of Neural Systems. 30(3). 2050006–2050006. 15 indexed citations
17.
Lyu, Qing, Chenyu You, Hongming Shan, Yi Zhang, & Ge Wang. (2019). Super-resolution MRI and CT through GAN-CIRCLE. 36 indexed citations
18.
Zhou, Chuanqing, Xinyu Chai, Yao Chen, Xun Cao, & Qing Lyu. (2015). Effects of different three-dimensional electrodes on epiretinal electrical stimulation by modeling analysis. Investigative Ophthalmology & Visual Science. 56(7). 779–779. 1 indexed citations
19.
Cao, Xun, Xiaohong Sui, Qing Lyu, Liming Li, & Xinyu Chai. (2015). Effects of different three-dimensional electrodes on epiretinal electrical stimulation by modeling analysis. Journal of NeuroEngineering and Rehabilitation. 12(1). 73–73. 17 indexed citations
20.
Wang, Jing, Heng Li, Chen Yao, et al.. (2015). Image Processing Strategies Based on a Visual Saliency Model for Object Recognition Under Simulated Prosthetic Vision. Artificial Organs. 40(1). 94–100. 23 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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