Mingqi Gao

473 total citations
22 papers, 296 citations indexed

About

Mingqi Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mingqi Gao has authored 22 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Mingqi Gao's work include Medical Image Segmentation Techniques (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Mingqi Gao is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Mingqi Gao collaborates with scholars based in China, United Kingdom and United States. Mingqi Gao's co-authors include Bin Fang, Jungong Han, Feng Zheng, James J. Q. Yu, Peihua Li, Qilong Wang, Hao Wang, Wangmeng Zuo, Caifeng Shan and Guiguang Ding and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Physics in Medicine and Biology.

In The Last Decade

Mingqi Gao

21 papers receiving 289 citations

Peers

Mingqi Gao
Zhezhou Yu China
Bin Dong China
Qianru Cheng China
Simon Reiß Germany
Zunaira Rauf Pakistan
Yongqing Sun Japan
Zhanqiang Huo China
André M. Santana Brazil
Anam Nazir Australia
Muhammad Nadeem Cheema Australia
Zhezhou Yu China
Mingqi Gao
Citations per year, relative to Mingqi Gao Mingqi Gao (= 1×) peers Zhezhou Yu

Countries citing papers authored by Mingqi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingqi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingqi Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingqi Gao. A scholar is included among the top collaborators of Mingqi 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 Mingqi Gao. Mingqi Gao 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.
Gao, Mingqi, et al.. (2025). Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. 4605–4629. 1 indexed citations
2.
Gao, Mingqi, et al.. (2024). Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18915–18923.
3.
Zhang, Shuo, Mingqi Gao, Qiang Ni, & Jungong Han. (2023). Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks. Neurocomputing. 530. 116–124. 11 indexed citations
4.
Gao, Mingqi, Jinyu Yang, Jungong Han, et al.. (2023). Decoupling Multimodal Transformers for Referring Video Object Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4518–4528. 12 indexed citations
5.
Gao, Mingqi, et al.. (2023). Unveiling the Power of Visible-Thermal Video Object Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5376–5388. 3 indexed citations
6.
Gao, Mingqi, Feng Zheng, James J. Q. Yu, et al.. (2022). Deep learning for video object segmentation: a review. Artificial Intelligence Review. 56(1). 457–531. 55 indexed citations
7.
Gao, Mingqi, Jungong Han, Feng Zheng, James J. Q. Yu, & Giovanni Montana. (2022). Video Object Segmentation using Point-based Memory Network. Pattern Recognition. 134. 109073–109073. 10 indexed citations
8.
Gao, Mingqi, et al.. (2021). SCN: Dilated silhouette convolutional network for video action recognition. Computer Aided Geometric Design. 85. 101965–101965. 4 indexed citations
9.
Yu, Wei, et al.. (2019). Liver Vessels Segmentation Based on 3d Residual U-NET. 250–254. 44 indexed citations
10.
Fang, Bin, et al.. (2019). Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 8(5). 468–477. 11 indexed citations
11.
Wang, Hao, Qilong Wang, Mingqi Gao, Peihua Li, & Wangmeng Zuo. (2018). Multi-scale Location-Aware Kernel Representation for Object Detection. 1248–1257. 51 indexed citations
12.
Zhang, Jie, et al.. (2018). Experience the dougong construction in virtual reality. 1–2. 4 indexed citations
13.
Fang, Bin, et al.. (2017). B-Spline based globally optimal segmentation combining low-level and high-level information. Pattern Recognition. 73. 144–157. 11 indexed citations
14.
Fang, Bin, et al.. (2017). A variational approach to liver segmentation using statistics from multiple sources. Physics in Medicine and Biology. 63(2). 25024–25024. 10 indexed citations
15.
Gao, Mingqi, et al.. (2017). A Novel Race Classification Method Based on Periocular Features Fusion. International Journal of Pattern Recognition and Artificial Intelligence. 31(8). 1750026–1750026. 9 indexed citations
16.
17.
Gao, Mingqi, et al.. (2016). An improved active shape model method for facial landmarking based on relative position feature. International Journal of Wavelets Multiresolution and Information Processing. 15(1). 1750008–1750008. 3 indexed citations
18.
Gao, Mingqi, et al.. (2016). A factorization based active contour model for texture segmentation. 4309–4313. 18 indexed citations
19.
Gao, Mingqi, et al.. (2016). Texture image segmentation using fused features and active contour. 2036–2041. 6 indexed citations
20.
Fang, Bin, et al.. (2016). Multi-scale B-spline level set segmentation based on Gaussian kernel equalization. 52. 4319–4323. 6 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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