Mingjie Xu

1.9k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Mingjie Xu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mingjie Xu has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mingjie Xu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). Mingjie Xu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). Mingjie Xu collaborates with scholars based in China, United States and Hong Kong. Mingjie Xu's co-authors include Pramod K. Varshney, Monika Arora, Pakorn Watanachaturaporn, Wei He, J.H. Huang, Guangming Li, Christopher Huang, Xin Ma, Shanglong Peng and Qiang Zhu and has published in prestigious journals such as Remote Sensing of Environment, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Mingjie Xu

27 papers receiving 1.4k citations

Hit Papers

Decision tree regression for soft classification of remot... 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjie Xu China 15 272 266 263 220 186 29 1.5k
John Hancock United States 16 228 0.8× 35 0.1× 68 0.3× 112 0.5× 776 4.2× 50 2.0k
Liang Liang China 21 168 0.6× 43 0.2× 33 0.1× 347 1.6× 165 0.9× 522 2.6k
Yucheng Zhang China 19 138 0.5× 39 0.1× 108 0.4× 317 1.4× 87 0.5× 145 1.6k
Jianlin Zhang China 25 244 0.9× 36 0.1× 42 0.2× 99 0.5× 210 1.1× 206 2.4k
Qianqian Yang China 21 392 1.4× 67 0.3× 172 0.7× 20 0.1× 410 2.2× 88 1.5k
K. Satheesh Kumar India 20 201 0.7× 55 0.2× 18 0.1× 55 0.3× 127 0.7× 97 1.4k
Huan Zhao China 23 583 2.1× 45 0.2× 24 0.1× 228 1.0× 321 1.7× 137 2.0k
Jinglin Zhang China 26 229 0.8× 20 0.1× 47 0.2× 119 0.5× 254 1.4× 104 2.1k
Hui Yuan China 33 189 0.7× 155 0.6× 50 0.2× 33 0.1× 200 1.1× 205 3.6k
M. Petrou United Kingdom 31 80 0.3× 107 0.4× 48 0.2× 118 0.5× 236 1.3× 174 3.9k

Countries citing papers authored by Mingjie Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mingjie Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjie Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie Xu. A scholar is included among the top collaborators of Mingjie Xu 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 Mingjie Xu. Mingjie Xu 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.
Wu, Mengyang, Yuzhi Zhao, Mingjie Xu, et al.. (2025). ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 8413–8422.
2.
Xu, Mingjie & Feng Lu. (2024). Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6333–6341. 3 indexed citations
3.
Song, Yonghong, et al.. (2023). DCMAI: A Dynamical Cross-Modal Alignment Interaction Framework for Document Key Information Extraction. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 504–517. 1 indexed citations
4.
Wang, Jiawen, et al.. (2023). A Signal Optimization Model of Adjacent Closely Spaced Intersections Which Optimizes Pedestrian Crossing. Journal of Advanced Transportation. 2023. 1–14. 3 indexed citations
5.
Yi, Xuan, et al.. (2021). Multi-Model Fusion Short-Term Load Forecasting Based on Random Forest Feature Selection and Hybrid Neural Network. IEEE Access. 9. 69002–69009. 86 indexed citations
6.
Chen, Haiyang, et al.. (2020). Research on dynamic load balancing of data center network based on openflow technology. 1. 318–322. 2 indexed citations
7.
Wang, Lin, et al.. (2020). Research on LSB-based Digital Image Information Camouflage Algorithm. 933–938. 1 indexed citations
8.
Li, Huanjie, Yangyang Wang, Lei Shao, et al.. (2020). Transmission Routes of SARS-CoV-2: Based on the Epidemiological and Clinical Characteristics of 29 Cases in Jinan, China. SSRN Electronic Journal. 1 indexed citations
9.
Xu, Mingjie, Shouliang Qi, Yong Yue, et al.. (2019). Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset. BioMedical Engineering OnLine. 18(1). 2–2. 81 indexed citations
10.
Chai, Ruimei, He Ma, Mingjie Xu, et al.. (2019). Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences. Journal of Magnetic Resonance Imaging. 50(4). 1125–1132. 52 indexed citations
11.
Cui, Xiaoyu, Nian Wang, Yue Zhao, et al.. (2019). Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI. Scientific Reports. 9(1). 2240–2240. 68 indexed citations
12.
Xu, Mingjie, et al.. (2019). High Load Function Prediction Model Based on Decision Tree. 26. 375–378. 2 indexed citations
13.
Monkam, Patrice, Shouliang Qi, Mingjie Xu, et al.. (2018). Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. IEEE Access. 7. 5564–5576. 35 indexed citations
14.
Monkam, Patrice, et al.. (2018). CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images. BioMedical Engineering OnLine. 17(1). 96–96. 44 indexed citations
15.
Xu, Mingjie, Xubiao Xie, Longkai Peng, et al.. (2017). Clinical analysis of 5 cases of infectious renal artery rupture after renal transplantation. 38(4). 211–217. 1 indexed citations
16.
Bu, Kai, et al.. (2014). Toward Fast and Deterministic Clone Detection for Large Anonymous RFID Systems. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 7. 416–424. 6 indexed citations
17.
Qi, Shouliang, et al.. (2014). Automatic pulmonary fissure detection and lobe segmentation in CT chest images. BioMedical Engineering OnLine. 13(1). 59–59. 19 indexed citations
18.
Wang, Song, Xing Dai, Dong Chen, et al.. (2013). Rabbit and human hepatitis E virus strains belong to a single serotype. Virus Research. 176(1-2). 101–106. 20 indexed citations
19.
He, Wei, Guangming Li, Xin Ma, et al.. (2006). WEEE recovery strategies and the WEEE treatment status in China. Journal of Hazardous Materials. 136(3). 502–512. 282 indexed citations
20.
Xu, Mingjie, Pakorn Watanachaturaporn, Pramod K. Varshney, & Monika Arora. (2005). Decision tree regression for soft classification of remote sensing data. Remote Sensing of Environment. 97(3). 322–336. 477 indexed citations breakdown →

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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