Mingchen Gao

7.6k total citations · 1 hit paper
54 papers, 4.8k citations indexed

About

Mingchen Gao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Mingchen Gao has authored 54 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 18 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Artificial Intelligence. Recurrent topics in Mingchen Gao's work include Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Mingchen Gao is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Mingchen Gao collaborates with scholars based in United States, China and United Kingdom. Mingchen Gao's co-authors include Ziyue Xu, Daniel J. Mollura, Le Lü, Ronald M. Summers, Holger R. Roth, Hoo-Chang Shin, Isabella Nogues, Jianhua Yao, Dimitris Metaxas and Xinyi Cui and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Mingchen Gao

46 papers receiving 4.6k 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.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

2016 4.0k citations Mingchen Gao, Le Lü et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingchen Gao United States	15	1.8k	1.8k	1.4k	537	532	54	4.8k
Hoo-Chang Shin United States	10	2.0k 1.1×	1.9k 1.1×	1.4k 1.0×	550 1.0×	564 1.1×	10	5.0k
Isabella Nogues United States	4	1.5k 0.8×	1.5k 0.9×	1.1k 0.8×	460 0.9×	442 0.8×	6	4.1k
Chen Li China	37	2.1k 1.2×	1.8k 1.0×	1.3k 0.9×	437 0.8×	283 0.5×	239	4.8k
Maciej A. Mazurowski United States	34	2.9k 1.6×	3.2k 1.8×	1.2k 0.8×	588 1.1×	634 1.2×	154	6.8k
Ziyue Xu United States	26	2.5k 1.3×	3.0k 1.7×	1.9k 1.3×	814 1.5×	995 1.9×	72	6.6k
Yixuan Yuan Hong Kong	38	1.5k 0.8×	1.3k 0.7×	1.8k 1.3×	292 0.5×	421 0.8×	180	4.7k
Wenqi Li China	23	1.9k 1.0×	1.9k 1.1×	2.1k 1.5×	715 1.3×	374 0.7×	65	5.2k
Mizuho Nishio Japan	24	1.0k 0.5×	1.8k 1.0×	665 0.5×	563 1.0×	725 1.4×	67	4.3k
Ye Duan United States	24	1.7k 1.0×	1.1k 0.6×	1.6k 1.2×	591 1.1×	194 0.4×	120	7.2k
Rikiya Yamashita United States	18	1.1k 0.6×	1.6k 0.9×	638 0.5×	499 0.9×	390 0.7×	49	4.1k

Countries citing papers authored by Mingchen Gao

Since Specialization

Citations

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

Fields of papers citing papers by Mingchen Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchen Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchen Gao. A scholar is included among the top collaborators of Mingchen Gao 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 Mingchen Gao. Mingchen Gao 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

Gao, Mingchen, Muhammad Irfan, Xi Lin, et al.. (2025). A green ammonia utilization pathway: Integrated ammonia-solid oxide fuel cell systems for efficient power generation. 7(5). 100167–100167. 3 indexed citations

Zhao, Yang, et al.. (2025). Chloroplast structure, codon usage bias, and machine learning-based molecular identification using DNA barcoding of Sophorae Tonkinensis Radix et Rhizoma (Shan Dou Gen) and its analogues. Fitoterapia. 188. 107005–107005.

Ma, Chenyang, et al.. (2025). Enhancement Strategies of Calcium Looping Technology and CaO‐Based Sorbents for Carbon Capture. Small. 21(13). e2412463–e2412463. 4 indexed citations

Gao, Mingchen, et al.. (2024). Preparation of magnesium-modified steel slag and its adsorption performance for simultaneous removal of nitrogen and phosphorus from water. Colloids and Surfaces A Physicochemical and Engineering Aspects. 702. 135068–135068. 5 indexed citations

Gao, Mingchen, et al.. (2024). Self-supervised learning based handwriting verification. IET conference proceedings.. 2024(10). 170–177.

Gao, Mingchen, et al.. (2024). Vision-language model based handwriting verification. IET conference proceedings.. 2024(10). 343–346.

Gao, Mingchen, et al.. (2024). Chemical looping based Low-pressure ammonia synthesis. Chemical Engineering Journal. 500. 157321–157321. 6 indexed citations

Ma, Chunwei, et al.. (2024). Unifying domain gap in Federated Learning: A geometric approach. Neurocomputing. 617. 128813–128813. 1 indexed citations

Shen, Li, et al.. (2023). Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14337–14352. 2 indexed citations

10.

Gao, Mingchen. (2023). The application and prospect of electrification in transportation. Applied and Computational Engineering. 26(1). 73–78. 1 indexed citations

11.

Guo, Dazhou, Ke Yan, Le Lü, et al.. (2023). Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. 21083–21094. 8 indexed citations

12.

Shaikh, Mohammad Abuzar, et al.. (2021). Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. Lecture notes in computer science. 12966. 110–119. 15 indexed citations

13.

Xu, Ziyue, Mingchen Gao, Georgios Z. Papadakis, et al.. (2018). Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Analysis. 46. 229–243. 33 indexed citations

14.

Xu, Ziyue, Aaron Wu, Mingchen Gao, et al.. (2017). Quantitative Image Quality Comparison of Reduced- and Standard-Dose Dual-Energy Multiphase Chest, Abdomen, and Pelvis CT. Tomography. 3(2). 114–122. 11 indexed citations

15.

Xu, Ziyue, Ulaş Bağcı, Mingchen Gao, & Daniel J. Mollura. (2015). Highly precise partial volume correction for PET images: An iterative approach via shape consistency. Journal of International Crisis and Risk Communication Research. 1196–1199. 5 indexed citations

16.

Huang, Sheng, Mingchen Gao, Dan Yang, et al.. (2015). Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. 27. 1556–1559. 7 indexed citations

17.

Xu, Chenren, Mingchen Gao, Bernhard Firner, et al.. (2012). Towards robust device-free passive localization through automatic camera-assisted recalibration. 339–340. 26 indexed citations

18.

Cui, Xinyi, Qingshan Liu, Mingchen Gao, & Dimitris Metaxas. (2011). Abnormal detection using interaction energy potentials. 3161–3167. 185 indexed citations

19.

Kulp, Scott, Mingchen Gao, Shaoting Zhang, et al.. (2011). Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow. Lecture notes in computer science. 14(Pt 1). 468–475. 22 indexed citations

20.

Silver, D., Mingchen Gao, & Norman J. Zabusky. (1991). Visualizing casual effects in 4D space-time vector fields. IEEE Visualization. 12–16. 7 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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