Yingxin Ye

1.5k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Yingxin Ye is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Yingxin Ye has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 6 papers in Mechanical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Yingxin Ye's work include Digital Transformation in Industry (7 papers), Manufacturing Process and Optimization (7 papers) and Advanced machining processes and optimization (5 papers). Yingxin Ye is often cited by papers focused on Digital Transformation in Industry (7 papers), Manufacturing Process and Optimization (7 papers) and Advanced machining processes and optimization (5 papers). Yingxin Ye collaborates with scholars based in China, Portugal and United Kingdom. Yingxin Ye's co-authors include Tianliang Hu, Chengrui Zhang, Weichao Luo, Yongli Wei, Tingting Zhou, Grace Wanjiru Kibue, Lianqing Li, Genxing Pan, Jufeng Zheng and Muhammad Siddique Lashari and has published in prestigious journals such as Chemical Engineering Journal, Journal of the Science of Food and Agriculture and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Yingxin Ye

18 papers receiving 1.1k citations

Hit Papers

A hybrid predictive maintenance approach for CNC machine ... 2020 2026 2022 2024 2020 100 200 300
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.

  1. A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
    2020 379 citations Weichao Luo, Tianliang Hu et al. Robotics and Computer-Integrated Manufacturing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxin Ye China 12 615 250 208 119 116 21 1.1k
Muhammad Faheem China 17 166 0.3× 87 0.3× 99 0.5× 41 0.3× 108 0.9× 59 1.1k
Kamran Shah Pakistan 12 52 0.1× 437 1.7× 139 0.7× 66 0.6× 68 0.6× 40 892
Muhammad Tahir Khan Pakistan 20 54 0.1× 215 0.9× 85 0.4× 334 2.8× 84 0.7× 93 1.5k
Zhengchao Zhang China 12 86 0.1× 104 0.4× 16 0.1× 199 1.7× 58 0.5× 35 855
Wan-Soo Kim South Korea 20 40 0.1× 524 2.1× 106 0.5× 78 0.7× 160 1.4× 129 1.3k
Weiming Zhang China 14 26 0.0× 134 0.5× 315 1.5× 344 2.9× 182 1.6× 84 1.3k
Timothy McDonald United States 19 28 0.0× 199 0.8× 123 0.6× 34 0.3× 60 0.5× 92 1.1k
Izhar Ul Haq Pakistan 12 48 0.1× 279 1.1× 150 0.7× 23 0.2× 14 0.1× 36 677

Countries citing papers authored by Yingxin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yingxin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxin Ye. A scholar is included among the top collaborators of Yingxin Ye 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 Yingxin Ye. Yingxin Ye 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
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Ni, Hepeng, et al.. (2022). Velocity planning method for position–velocity–time control based on a modified S-shaped acceleration/deceleration algorithm. International Journal of Advanced Robotic Systems. 19(1). 3 indexed citations
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Ye, Yingxin, et al.. (2022). Context-aware manufacturing system design using machine learning. Journal of Manufacturing Systems. 65. 59–69. 7 indexed citations
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Ye, Yingxin, et al.. (2021). A Fuzzy Logic Model for Early Warning of Algal Blooms in a Tidal-Influenced River. Water. 13(21). 3118–3118. 6 indexed citations
8.
Li, Xuebing, et al.. (2021). An online visual measurement method for workpiece dimension based on deep learning. Measurement. 185. 110032–110032. 23 indexed citations
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Luo, Weichao, Tianliang Hu, Yingxin Ye, Chengrui Zhang, & Yongli Wei. (2020). A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin. Robotics and Computer-Integrated Manufacturing. 65. 101974–101974. 379 indexed citations breakdown →
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Ye, Yingxin, et al.. (2020). A study on the response of carbon cycle system in the Pearl River Estuary to riverine input variations. Journal of Marine Systems. 215. 103498–103498. 14 indexed citations
11.
Shen, Weidong, et al.. (2020). A welding task data model for intelligent process planning of robotic welding. Robotics and Computer-Integrated Manufacturing. 64. 101934–101934. 46 indexed citations
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Wei, Yongli, Tianliang Hu, Tingting Zhou, Yingxin Ye, & Weichao Luo. (2020). Consistency retention method for CNC machine tool digital twin model. Journal of Manufacturing Systems. 58. 313–322. 99 indexed citations
13.
Bajpai, Nirupam, et al.. (2020). ICTs and Public Health in the Context of COVID-19. Columbia Academic Commons (Columbia University). 3 indexed citations
14.
Hu, Tianliang, et al.. (2020). Data Construction Method for the Applications of Workshop Digital Twin System. Journal of Manufacturing Systems. 58. 323–328. 129 indexed citations
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Zhang, Chengrui, et al.. (2019). An intelligent CNC controller using cloud knowledge base. The International Journal of Advanced Manufacturing Technology. 102(1-4). 213–223. 13 indexed citations
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Yang, Yan, et al.. (2018). A knowledge generation mechanism of machining process planning using cloud technology. Journal of Ambient Intelligence and Humanized Computing. 10(3). 1081–1092. 20 indexed citations
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Ye, Yingxin, et al.. (2018). A knowledge based intelligent process planning method for controller of computer numerical control machine tools. Journal of Intelligent Manufacturing. 31(7). 1751–1767. 38 indexed citations
18.
Ye, Yingxin, Tianliang Hu, Chengrui Zhang, & Weichao Luo. (2016). Design and development of a CNC machining process knowledge base using cloud technology. The International Journal of Advanced Manufacturing Technology. 94(9-12). 3413–3425. 54 indexed citations
19.
Lashari, Muhammad Siddique, Yingxin Ye, Ji Haishi, et al.. (2014). Biochar–manure compost in conjunction with pyroligneous solution alleviated salt stress and improved leaf bioactivity of maize in a saline soil from central China: a 2‐year field experiment. Journal of the Science of Food and Agriculture. 95(6). 1321–1327. 210 indexed citations
20.
Liu, Xiaoyu, Yingxin Ye, Yuming Liu, et al.. (2014). Sustainable biochar effects for low carbon crop production: A 5-crop season field experiment on a low fertility soil from Central China. Agricultural Systems. 129. 22–29. 78 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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