Lanqing Han

429 total citations
15 papers, 225 citations indexed

About

Lanqing Han is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Lanqing Han has authored 15 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Lanqing Han's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Phonocardiography and Auscultation Techniques (3 papers). Lanqing Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Phonocardiography and Auscultation Techniques (3 papers). Lanqing Han collaborates with scholars based in China, Germany and Canada. Lanqing Han's co-authors include Yong Ren, Chun‐Kui Shao, Jianning Chen, Bing Chen, Lu-Ying Tang, Deyu Wang, Jin Lv, Sijin Chen, Jing Zhou and Qinghua Cao and has published in prestigious journals such as Gastroenterology, PLoS ONE and Spine.

In The Last Decade

Lanqing Han

14 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lanqing Han China	9	91	55	48	45	27	15	225
Haixiong Chen China	12	99 1.1×	21 0.4×	34 0.7×	54 1.2×	55 2.0×	21	293
Yura Ahn South Korea	10	163 1.8×	107 1.9×	27 0.6×	27 0.6×	47 1.7×	51	353
Kenta Ninomiya Japan	9	216 2.4×	115 2.1×	66 1.4×	17 0.4×	23 0.9×	29	283
Tobias Hepp Germany	12	263 2.9×	69 1.3×	89 1.9×	27 0.6×	26 1.0×	26	405
Alexandre Cadrin-Chênevert Canada	8	267 2.9×	73 1.3×	92 1.9×	16 0.4×	35 1.3×	15	389
Qianjun Jia China	9	167 1.8×	66 1.2×	11 0.2×	40 0.9×	36 1.3×	28	267
Sungwon Ham South Korea	9	202 2.2×	90 1.6×	69 1.4×	6 0.1×	24 0.9×	18	385
Yen‐Min Huang Taiwan	9	74 0.8×	54 1.0×	21 0.4×	90 2.0×	57 2.1×	26	281
Weidao Chen China	11	153 1.7×	56 1.0×	39 0.8×	5 0.1×	29 1.1×	25	254
Kelly Reeve Switzerland	10	60 0.7×	88 1.6×	14 0.3×	37 0.8×	28 1.0×	24	246

Countries citing papers authored by Lanqing Han

Since Specialization

Citations

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

Fields of papers citing papers by Lanqing Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanqing Han

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

All Works

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15 of 15 papers shown

Li, Mingkai, Zebin Chen, Jianning Chen, et al.. (2025). Interactive Explainable Deep Learning Model for Hepatocellular Carcinoma Diagnosis at Gadoxetic Acid–enhanced MRI: A Retrospective, Multicenter, Diagnostic Study. Radiology Imaging Cancer. 7(3). e240332–e240332.

Song, Yihua, Tong Ren, Qiao Ji, et al.. (2024). Assessing breast disease with deep learning model using bimodal bi-view ultrasound images and clinical information. iScience. 27(7). 110279–110279. 3 indexed citations

Ren, Yong, et al.. (2024). Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters. BMC Pulmonary Medicine. 24(1). 153–153. 12 indexed citations

Luo, You, et al.. (2024). Deep learning-enabled classification of kidney allograft rejection on whole slide histopathologic images. Frontiers in Immunology. 15. 1438247–1438247. 1 indexed citations

Liu, Huaqing, Hao Li, Li‐Fen Chen, et al.. (2023). Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease. BioMedical Engineering OnLine. 22(1). 99–99. 7 indexed citations

Fan, Guoxin, Huaqing Liu, Sheng Yang, et al.. (2023). Early Prognostication of Critical Patients With Spinal Cord Injury. Spine. 49(11). 754–762. 2 indexed citations

Cheng, Na, Yong Ren, Jing Zhou, et al.. (2022). Deep Learning-Based Classification of Hepatocellular Nodular Lesions on Whole-Slide Histopathologic Images. Gastroenterology. 162(7). 1948–1961.e7. 68 indexed citations

Wu, Lin, Lu Liu, Xiangyu Liu, et al.. (2022). Deep Learning Networks Accurately Detect ST-Segment Elevation Myocardial Infarction and Culprit Vessel. Frontiers in Cardiovascular Medicine. 9. 797207–797207. 20 indexed citations

Luo, You, Xiao Hu, Jinhua Zhang, et al.. (2022). Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy. Frontiers in Medicine. 8. 676461–676461. 10 indexed citations

10.

Wang, Shijie, Huaqing Liu, Tao Yang, et al.. (2022). Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions. Diagnostics. 12(1). 172–172. 12 indexed citations

11.

Zhao, Xiaoli, Lin Wu, Min Wang, et al.. (2022). Deep learning assessment of left ventricular hypertrophy based on electrocardiogram. Frontiers in Cardiovascular Medicine. 9. 952089–952089. 13 indexed citations

12.

Wang, Shijie, Tao Yang, Mingquan Huang, et al.. (2022). Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI‐RADS 4 lesions. International Journal of Imaging Systems and Technology. 32(5). 1577–1587. 2 indexed citations

13.

Wu, Qingwu, Jianning Chen, Yong Ren, et al.. (2021). Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging. EBioMedicine. 66. 103336–103336. 29 indexed citations

14.

Fan, Guoxin, Sheng Yang, Huaqing Liu, et al.. (2021). Machine Learning-based Prediction of Prolonged Intensive Care Unit Stay for Critical Patients with Spinal Cord Injury. Spine. 47(9). E390–E398. 19 indexed citations

15.

Zou, Xiaoling, Yong Ren, Ding-Yun Feng, et al.. (2020). A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study. PLoS ONE. 15(7). e0236378–e0236378. 27 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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