Shenglin Mu

813 total citations · 1 hit paper
49 papers, 569 citations indexed

About

Shenglin Mu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Shenglin Mu has authored 49 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Mechanical Engineering. Recurrent topics in Shenglin Mu's work include Piezoelectric Actuators and Control (16 papers), Iterative Learning Control Systems (12 papers) and Advanced Control Systems Design (6 papers). Shenglin Mu is often cited by papers focused on Piezoelectric Actuators and Control (16 papers), Iterative Learning Control Systems (12 papers) and Advanced Control Systems Design (6 papers). Shenglin Mu collaborates with scholars based in Japan, China and United States. Shenglin Mu's co-authors include Seiichi Serikawa, Huimin Lu, Dong Wang, Hyoung Seop Kim, Yujie Li, Kanya Tanaka, Shota Nakashima, Tomonori YAMAMOTO, Hui Xu and Wei Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Shenglin Mu

45 papers receiving 558 citations

Hit Papers

Motor Anomaly Detection for Unmanned Aerial Vehicles Usin... 2017 2026 2020 2023 2017 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. Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning
    2017 336 citations Huimin Lu, Yujie Li et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenglin Mu Japan 8 171 159 128 106 64 49 569
Yifan Zhang China 14 119 0.7× 230 1.4× 97 0.8× 213 2.0× 48 0.8× 76 736
Amit Kumar Mondal India 15 85 0.5× 137 0.9× 44 0.3× 124 1.2× 138 2.2× 60 620
M. A. Ansari India 13 339 2.0× 166 1.0× 89 0.7× 172 1.6× 42 0.7× 112 734
Ákos Odry Hungary 14 94 0.5× 143 0.9× 134 1.0× 213 2.0× 26 0.4× 71 565
Jaehyun Yoo South Korea 14 98 0.6× 114 0.7× 151 1.2× 362 3.4× 50 0.8× 57 738
Lingfeng Yang China 13 328 1.9× 155 1.0× 42 0.3× 45 0.4× 24 0.4× 32 801
Tianran Zhang China 6 61 0.4× 356 2.2× 125 1.0× 168 1.6× 31 0.5× 11 668
Pengchao Zhang China 17 97 0.6× 138 0.9× 327 2.6× 144 1.4× 86 1.3× 44 693
Mohammad Salman Türkiye 14 86 0.5× 73 0.5× 84 0.7× 117 1.1× 21 0.3× 77 576
Qiang Yu China 13 99 0.6× 162 1.0× 196 1.5× 339 3.2× 27 0.4× 92 711

Countries citing papers authored by Shenglin Mu

Since Specialization
Citations

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

Fields of papers citing papers by Shenglin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglin Mu. A scholar is included among the top collaborators of Shenglin Mu 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 Shenglin Mu. Shenglin Mu 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.
Mu, Shenglin, et al.. (2023). Interface using eye-gaze and tablet input for an avatar robot control in class participation support system. Computers & Electrical Engineering. 111. 108914–108914. 2 indexed citations
2.
Mu, Shenglin, et al.. (2022). Study on eye-gaze input interface based on deep learning using images obtained by multiple cameras. Computers & Electrical Engineering. 101. 108040–108040. 3 indexed citations
3.
Xiao, Min, Ping Wang, Wei Zeng, et al.. (2022). Polymetallic phosphides evolved from MOF and LDH dual-precursors for robust oxygen evolution reaction in alkaline and seawater media. Materials Today Physics. 24. 100684–100684. 69 indexed citations
4.
5.
Taniguchi, Akito, et al.. (2020). An Intelligent PID Control using Neural Networks for Pneumatic Servo Systems. 549–552. 2 indexed citations
6.
Nakashima, Shota, et al.. (2020). Improving the Accuracy of Road Surface Distinction Based on Reflection Intensity Variations Using Ultrasonic Sensor. IEEE Sensors Journal. 22(18). 17399–17405. 4 indexed citations
7.
Mu, Shenglin, et al.. (2020). A Portable Functional Electrical Stimulation Device for Walking Motion Modification. 260–264. 3 indexed citations
8.
Mu, Shenglin, Satoshi Shibata, Tomonori YAMAMOTO, Shota Nakashima, & Kanya Tanaka. (2019). Position Control of USM using Variable Gain PID Control Combined with ABC Type Neural Network. 1. 1–6.
9.
10.
Nakashima, Shota, et al.. (2019). AKAZE-Based Visual Odometry From Floor Images Supported by Acceleration Models. IEEE Access. 7. 31103–31109. 5 indexed citations
11.
Lu, Huimin, Yujie Li, Shenglin Mu, et al.. (2017). Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning. IEEE Internet of Things Journal. 5(4). 2315–2322. 336 indexed citations breakdown →
12.
Nakashima, Shota, et al.. (2016). Slit-type one-dimensional brightness distribution sensor for object tracking. Computers & Electrical Engineering. 58. 513–524. 2 indexed citations
13.
14.
Tanaka, Kanya, Shenglin Mu, & Shota Nakashima. (2014). Meal-Assistance Robot Using Ultrasonic Motor with Eye Interface. International Journal of Automation Technology. 8(2). 186–192. 12 indexed citations
15.
Mu, Shenglin, et al.. (2014). Intelligent PID control based on PSO type NN for USM. 3. 612–615. 1 indexed citations
16.
Nakashima, Shota, et al.. (2014). Slit Type One-Dimensional Brightness Distribution Sensor. 105. 761–764. 2 indexed citations
17.
Mu, Shenglin, Shota Nakashima, & Kanya Tanaka. (2014). Applications of ultrasonic sensors and obrid-sensor in safety confirmation system for elders. 2. 1–6. 1 indexed citations
18.
Mu, Shenglin, et al.. (2013). Real-time Intelligent PID Controller for Ultrasonic Motor. 223–227. 1 indexed citations
19.
Mu, Shenglin & Kanya Tanaka. (2013). Position control of ultrasonic motor using PID-IMC combined with neural network based on probability. International Journal of Applied Electromagnetics and Mechanics. 41(1). 59–71. 8 indexed citations
20.
Mu, Shenglin, et al.. (2009). Intelligent IMC-PID control for ultrasonic motor. 2009 ICCAS-SICE. 1911–1915. 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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