Jianming Liang

21.6k total citations · 4 hit papers
89 papers, 12.8k citations indexed

About

Jianming Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianming Liang has authored 89 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianming Liang's work include AI in cancer detection (20 papers), COVID-19 diagnosis using AI (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Jianming Liang is often cited by papers focused on AI in cancer detection (20 papers), COVID-19 diagnosis using AI (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Jianming Liang collaborates with scholars based in United States, China and Germany. Jianming Liang's co-authors include Nima Tajbakhsh, Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Suryakanth Gurudu, Michael B. Gotway, J. Shin, R. Todd Hurst, Christopher B. Kendall, Mohammad Reza Hosseinzadeh Taher and K. R. Gurney and has published in prestigious journals such as Nature, Nature Communications and Environmental Science & Technology.

In The Last Decade

Jianming Liang

84 papers receiving 12.6k 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.

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

2018 5.3k citations Zongwei Zhou, Nima Tajbakhsh et al. Lecture notes in computer science profile →
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

2019 2.6k citations Zongwei Zhou, Nima Tajbakhsh et al. IEEE Transactions on Medical Imaging profile →
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

2016 2.1k citations Nima Tajbakhsh, J. Shin et al. IEEE Transactions on Medical Imaging profile →
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

2015 644 citations Nima Tajbakhsh, Suryakanth Gurudu et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Jianming Liang

Since Specialization

Citations

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

Fields of papers citing papers by Jianming Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianming Liang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A fully open AI foundation model applied to chest radiography 2025 ·Nature ·(unknown), (unknown), Michael B. Gotway, Jianming Liang	1
2	Large-scale benchmarking and boosting transfer learning for medical image analysis 2025 ·Medical Image Analysis ·Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang	4
3	Clinical and Radiographic Outcomes of Atlantoaxial or Occipitocervical Fixation and Fusion in Patients With Cervical Myelopathy due to Idiopathic Retro-Odontoid Pseudotumor 2025 ·Operative Neurosurgery ·Xin Zhou, Qing Chen, Haiping Jiang, Jianming Liang, Li Nie, (unknown), (unknown), Wenchao Yang	0
4	Underestimation of Thermogenic Methane Emissions in New York City 2024 ·Environmental Science & Technology ·Joseph Pitt, Israel Lopez‐Coto, A. Karion, Kristian D. Hajny, Jay M. Tomlin, (unknown), Thilina Jayarathne, Brian H. Stirm, Cody Floerchinger, Christopher P. Loughner, R. Commane, C. Gately, Lucy R. Hutyra, K. R. Gurney, Geoffrey Roest, Jianming Liang, Sharon Gourdji, K. L. Mueller, J. R. Whetstone, P. B. Shepson	5
5	Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? 2024 ·Medical Image Analysis ·Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang	11
6	Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision 2024 ·PubMed ·Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang	3
7	Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning 2024 ·Medical Image Analysis ·(unknown), (unknown), Michael B. Gotway, Jianming Liang	5
8	Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision 2023 ·Lecture notes in computer science ·Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang	9
9	Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism 2023 ·Medical Image Analysis ·(unknown), Zongwei Zhou, (unknown), Michael B. Gotway, Jianming Liang	13
10	Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining 2022 ·Lecture notes in computer science ·(unknown), (unknown), Michael B. Gotway, Jianming Liang	6
11	POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis 2022 ·Lecture notes in computer science ·(unknown), Fatemeh Haghighi, (unknown), (unknown), Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang	5
12	Under-reporting of greenhouse gas emissions in U.S. cities 2021 ·Nature Communications ·K. R. Gurney, Jianming Liang, Geoffrey Roest, Yang Song, K. L. Mueller, Thomas Lauvaux	112
13	A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis 2021 ·Lecture notes in computer science ·Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang	26
14	The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) 2021 ·Carbon Balance and Management ·N. L. Miles, K. J. Davis, Scott J. Richardson, Thomas Lauvaux, D. K. Martins, Aijun Deng, Nikolay Balashov, K. R. Gurney, Jianming Liang, (unknown), Jonathan Wang, Jocelyn Turnbull	10
15	Evaluation of the influence of "Internet+" hand hygiene management model on medical staff's hand hygiene compliance 2021 ·Minerva Surgery ·Jianming Liang, Qi Wang, Jingya Wang	1
16	Parts2Whole: Self-supervised Contrastive Learning via Reconstruction 2020 ·Lecture notes in computer science ·Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang	11
17	Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation 2019 ·Medical Image Analysis ·Nima Tajbakhsh, J. Shin, Michael B. Gotway, Jianming Liang	44
18	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? breakdown → 2016 ·IEEE Transactions on Medical Imaging ·Nima Tajbakhsh, J. Shin, Suryakanth Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang	2079
19	Computer-aided detection of pulmonary embolism: Influence on radiologists’ detection performance with respect to vessel segments 2008 ·European Radiology ·Marco Das, Georg Mühlenbruch, (unknown), Annemarie Bakai, Marcos Salganicoff, S Stanzel, Jianming Liang, Matthias Wolf, Rolf W. Günther, Joachim E. Wildberger	43
20	Computer-aided detection (CAD) for CT colonography: a tool to address a growing need 2005 ·British Journal of Radiology ·Luca Bogoni, Pascal Cathier, Murat Dündar, Anna Jerebko, Sarang Lakare, Jianming Liang, Senthil Periaswamy, Mark E. Baker, Michael Macari	56

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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