Shiming Ji

1.6k total citations
90 papers, 1.3k citations indexed

About

Shiming Ji is a scholar working on Biomedical Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Shiming Ji has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Biomedical Engineering, 37 papers in Mechanical Engineering and 22 papers in Control and Systems Engineering. Recurrent topics in Shiming Ji's work include Advanced Surface Polishing Techniques (43 papers), Advanced machining processes and optimization (26 papers) and Erosion and Abrasive Machining (16 papers). Shiming Ji is often cited by papers focused on Advanced Surface Polishing Techniques (43 papers), Advanced machining processes and optimization (26 papers) and Erosion and Abrasive Machining (16 papers). Shiming Ji collaborates with scholars based in China, Japan and United States. Shiming Ji's co-authors include Dapeng Tan, Zhao Jun, E. Y. Jiang, Pan Ye, Youzhi Fu, Yuehua Wan, Jinfeng Huang, Wei Hang, Chen Li and Huan Qi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Shiming Ji

87 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiming Ji China 23 663 550 330 255 193 90 1.3k
Massimiliano Annoni Italy 21 453 0.7× 891 1.6× 141 0.4× 213 0.8× 66 0.3× 109 1.2k
Michele Monno Italy 22 538 0.8× 1.2k 2.2× 69 0.2× 131 0.5× 115 0.6× 98 1.5k
Jibin Zhao China 21 199 0.3× 868 1.6× 172 0.5× 166 0.7× 79 0.4× 110 1.3k
Ulaş Çaydaş Türkiye 15 1.1k 1.6× 1.6k 2.9× 145 0.4× 326 1.3× 34 0.2× 31 2.1k
Xujing Yang China 31 605 0.9× 2.3k 4.1× 443 1.3× 122 0.5× 78 0.4× 110 3.2k
Ahmet Hasçalık Türkiye 16 954 1.4× 1.6k 2.8× 147 0.4× 316 1.2× 23 0.1× 20 2.0k
Junxue Ren China 23 445 0.7× 1.3k 2.4× 147 0.4× 79 0.3× 44 0.2× 84 1.5k
Hongquan Zhang China 18 632 1.0× 317 0.6× 473 1.4× 27 0.1× 139 0.7× 51 1.4k
Balasubramanian Esakki India 16 107 0.2× 302 0.5× 64 0.2× 41 0.2× 144 0.7× 86 939
Muhammad Aamir Australia 21 423 0.6× 939 1.7× 42 0.1× 96 0.4× 22 0.1× 55 1.4k

Countries citing papers authored by Shiming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shiming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiming Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shiming Ji. A scholar is included among the top collaborators of Shiming Ji 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 Shiming Ji. Shiming Ji 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.
Ji, Shiming, Jie Yan, Zhenyu Liu, & Guojun He. (2025). ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects. SHILAP Revista de lepidopterología. 5. 1 indexed citations
2.
He, Wei, Mingxing Bai, Baikang Zhu, et al.. (2025). Improved detection and reidentification algorithm for natural gas pipeline excavator dynamic tracking based on deep learning. Measurement. 257. 118567–118567.
3.
Zhang, Zhifei, Jinquan Wan, Gang Ye, et al.. (2024). Microbial succession and pollutant removal metabolic pathways in anaerobic treatment of saline organic wastewater based on metagenomic technology. Journal of environmental chemical engineering. 12(3). 112734–112734. 6 indexed citations
4.
Ye, Gang, Jinquan Wan, Yan Wang, et al.. (2024). Prediction of effluent total nitrogen and energy consumption in wastewater treatment plants: Bayesian optimization machine learning methods. Bioresource Technology. 395. 130361–130361. 31 indexed citations
5.
Huang, Yan, Mei Zhai, Qiong Zhou, et al.. (2023). Association of Hypoxic Burden Metrics with Cardiovascular Outcomes in Heart Failure and Sleep-Disordered Breathing. ESC Heart Failure. 10(6). 3504–3514. 6 indexed citations
6.
Jun, Zhao, et al.. (2021). Research on a new method for optimizing surface roughness of cavitation abrasive flow polishing monocrystalline silicon. The International Journal of Advanced Manufacturing Technology. 113(5-6). 1649–1661. 24 indexed citations
7.
Qiu, Lei, et al.. (2021). Research on Parametric Model for Surface Processing Prediction of Aero-Engine Blades. Tehnicki vjesnik - Technical Gazette. 28(2). 2 indexed citations
8.
Jun, Zhao, et al.. (2020). Micro ultrasonic machining hemispherical mold for MEMS resonator gyroscope using a novel ultraprecise ceramic entire-ball tool. Journal of Micromechanics and Microengineering. 30(7). 75007–75007. 18 indexed citations
9.
Jun, Zhao, et al.. (2019). Investigation of the optimal parameters for the surface finish of K9 optical glass using a soft abrasive rotary flow polishing process. Journal of Manufacturing Processes. 49. 26–34. 60 indexed citations
10.
Qiu, Lei, et al.. (2019). Research on Abrasive Belt Based Machining Technology for Milling Shaped Aero-Engine Blades. Tehnicki vjesnik - Technical Gazette. 26(5). 2 indexed citations
11.
Ji, Shiming, et al.. (2018). Soft abrasive flow polishing based on the cavitation effect. The International Journal of Advanced Manufacturing Technology. 101(5-8). 1865–1878. 41 indexed citations
12.
Qiu, Lei, et al.. (2018). Research on Combustion Chamber Structure Improvement and Ignition System of Missile Turbojet Engine for Diesel Fuel. Tehnicki vjesnik - Technical Gazette. 25(6). 2 indexed citations
13.
Li, Jun, Shiming Ji, & Dapeng Tan. (2017). Improved Soft Abrasive Flow Finishing Method Based on Turbulent Kinetic Energy Enhancing. Chinese Journal of Mechanical Engineering. 30(2). 301–309. 35 indexed citations
14.
Ji, Shiming. (2014). Research on Mechanism of Ultrasound Enhancing and the Experiment Based on Softness Abrasive Flow. Journal of Mechanical Engineering. 50(7). 84–84. 11 indexed citations
15.
Li, Yanbiao, et al.. (2013). Parameters optimization of a novel 5-DOF gasbag polishing machine tool. Chinese Journal of Mechanical Engineering. 26(4). 680–688. 23 indexed citations
16.
Ji, Shiming. (2012). Chemical process fault diagnosis using semi-quantitative SDG model. Journal of Tsinghua University(Science and Technology). 1 indexed citations
17.
Ji, Shiming, et al.. (2011). Softness Abrasive Flow Numerical Simulation for VOF Based Structural Surfaces of Mould. 22(3). 334–339.
18.
Ji, Shiming, et al.. (2011). Study on Measuring Method and Distribution Law of Stress of Contact Area between Bonnet Polishing Tool and Workpiece. Zhongguo jixie gongcheng. 22(9). 1107. 1 indexed citations
19.
Ji, Shiming, et al.. (2007). Track planning and pressure control of robotic gasbag polishing technique with improved polishing tool. International Conference on Signal Processing. 165–170. 1 indexed citations
20.
Ji, Shiming. (2007). Research on real-time control of MOTOMAN robot. Mechanical & Electrical Engineering Magazine. 2 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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