Ming Jiang

4.1k total citations
184 papers, 2.8k citations indexed

About

Ming Jiang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Ming Jiang has authored 184 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 52 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Biomedical Engineering. Recurrent topics in Ming Jiang's work include Medical Imaging Techniques and Applications (44 papers), Advanced X-ray and CT Imaging (23 papers) and Advanced Steganography and Watermarking Techniques (17 papers). Ming Jiang is often cited by papers focused on Medical Imaging Techniques and Applications (44 papers), Advanced X-ray and CT Imaging (23 papers) and Advanced Steganography and Watermarking Techniques (17 papers). Ming Jiang collaborates with scholars based in China, United States and United Kingdom. Ming Jiang's co-authors include Ge Wang, Yi Li, Tingting Jiang, Dingquan Li, Jiansheng Yang, Hengyong Yu, Zhaofeng Ma, Wenxiang Cong, Raghu Machiraju and Zhen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Renewable and Sustainable Energy Reviews.

In The Last Decade

Ming Jiang

174 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming Jiang	1.3k	1.1k	806	339	244	184	2.8k
Yongyi Yang	1.7k 1.3×	882 0.8×	1.6k 1.9×	208 0.6×	219 0.9×	249	4.0k
Jiliu Zhou	2.7k 2.0×	2.1k 1.9×	1.5k 1.9×	235 0.7×	398 1.6×	158	4.4k
Jérôme Idier	389 0.3×	434 0.4×	656 0.8×	680 2.0×	265 1.1×	144	3.2k
Pier Luigi Dragotti	772 0.6×	589 0.5×	2.6k 3.2×	1.3k 3.7×	774 3.2×	225	4.9k
Tom Goldstein	711 0.5×	738 0.7×	2.4k 3.0×	1.7k 5.1×	679 2.8×	91	5.5k
Rebecca Willett	482 0.4×	1.5k 1.3×	1.4k 1.7×	1.6k 4.8×	688 2.8×	158	4.5k
K. Sauer	2.7k 2.0×	2.1k 1.9×	850 1.1×	372 1.1×	148 0.6×	87	4.0k
Misha E. Kilmer	1.3k 1.0×	1.2k 1.1×	1.7k 2.1×	1.9k 5.6×	380 1.6×	65	5.0k
Xuanqin Mou	2.2k 1.6×	1.8k 1.6×	4.0k 5.0×	212 0.6×	1.6k 6.5×	187	6.3k
Henry Stark	342 0.3×	315 0.3×	1.2k 1.5×	383 1.1×	558 2.3×	63	2.9k

Countries citing papers authored by Ming Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jiang

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

Jiang, Ming, Zhiwei Liu, & Yan Xu. (2025). A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network. Complex & Intelligent Systems. 11(2). 1 indexed citations

Ji, Zhenya & Ming Jiang. (2025). A systematic review of electricity demand for large language models: evaluations, challenges, and solutions. Renewable and Sustainable Energy Reviews. 225. 116159–116159. 2 indexed citations

Jiang, Ming, Chaoling Wu, Yao Wang, et al.. (2024). Enhanced air-poisoning resistance in vanadium-based hydrogen storage alloy by addition of Si. Progress in Natural Science Materials International. 34(4). 648–653. 4 indexed citations

Wang, Shaoyi, Yun Zhu, Ming Jiang, et al.. (2024). Modeling assessment of air pollution control measures and COVID-19 pandemic on air quality improvements over Greater Bay Area of China. The Science of The Total Environment. 926. 171951–171951. 3 indexed citations

Wang, Zhi, et al.. (2023). Research on e‐commerce recommendation system based on matrix factorization algorithm. Concurrency and Computation Practice and Experience. 35(22). 4 indexed citations

Jiang, Ming & Zhiwei Liu. (2023). Traffic Flow Prediction Based on Dynamic Graph Spatial-Temporal Neural Network. Mathematics. 11(11). 2528–2528. 7 indexed citations

Huang, Zhiyuan, et al.. (2023). Adaptive Local Stereo Matching Based on Improved Census Transform. 2144–2149. 1 indexed citations

Hsu, William, et al.. (2020). FPGA Acceleration for 3-D Low-Dose Tomographic Reconstruction. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(4). 666–679. 6 indexed citations

Deelman, Ewa, Anirban Mandal, Ming Jiang, & Rizos Sakellariou. (2019). The role of machine learning in scientific workflows. The International Journal of High Performance Computing Applications. 33(6). 1128–1139. 22 indexed citations

10.

Zhu, Yining, et al.. (2019). Image reconstruction by Mumford–Shah regularization for low-dose CT with multi-GPU acceleration. Physics in Medicine and Biology. 64(15). 155017–155017. 5 indexed citations

11.

Jiang, Ming, et al.. (2019). Research on Kinematics and Trajectory Planning of SCARA Robot. 42–47.

12.

Liu, Yiming, et al.. (2018). Characteristics of complex pollution with high concentrations of PM2.5 and O3 over the Pearl River Delta, China. Acta Scientiarum Naturalium Universitatis Sunyatseni. 57(4). 30–36. 5 indexed citations

13.

Censor, Yair, Gábor T. Herman, & Ming Jiang. (2017). Superiorization: theory and applications. Inverse Problems. 33(4). 40301–40301. 6 indexed citations

14.

Jiang, Yi, et al.. (2013). Using Energy Difference for Speech Separation of Dual-microphone Close-talk System. SHILAP Revista de lepidopterología. 2 indexed citations

15.

Jiang, Ming, et al.. (2010). Study on in vitro shoot culture of Pelargonium graveolens and its production.. Xi'nan nongye xuebao. 23(2). 561–564. 2 indexed citations

16.

Wang, Ling, Elke A. Rundensteiner, Murali Mani, & Ming Jiang. (2006). HUX: handling updates in XML. Very Large Data Bases. 1235–1238. 2 indexed citations

17.

Jiang, Ming. (2006). Research progress in source and formation of organic aerosol. Acta Scientiae Circumstantiae. 3 indexed citations

18.

Jiang, Ming, Raghu Machiraju, & David Thompson. (2002). Geometric verification of swirling features in flow fields. IEEE Visualization. 307–314. 28 indexed citations

19.

Jiang, Ming, Raghu Machiraju, & David S. Thompson. (2002). Geometric Verification of Features in Flow Fields.. IEEE Visualization. 10(9). 307–314. 3 indexed citations

20.

Jiang, Ming, et al.. (2001). IN VITRO STUDY ON CYTOTOXIC EFFECTS OF THE ORGANOPHOSPHOROUS PESTICIDE PROFENOFOS ON THE GILL CELL LINE,FG-9307, OF THE FLOUNDER （PARALICHIHYS OLIVACEUS）. 19(1). 57–62. 1 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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