Wenjin Tao

1.4k total citations
19 papers, 951 citations indexed

About

Wenjin Tao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Wenjin Tao has authored 19 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Wenjin Tao's work include Hand Gesture Recognition Systems (9 papers), Human Pose and Action Recognition (7 papers) and Digital Transformation in Industry (6 papers). Wenjin Tao is often cited by papers focused on Hand Gesture Recognition Systems (9 papers), Human Pose and Action Recognition (7 papers) and Digital Transformation in Industry (6 papers). Wenjin Tao collaborates with scholars based in United States and China. Wenjin Tao's co-authors include Ming C. Leu, Zhaozheng Yin, Ruwen Qin, Md Rakib Shahriar, Xiaoqing Frank Liu, S M Nahian Al Sunny, Tu N. Nguyen, Md. Al-Amin, Ming-Chuan Leu and Haodong Chen and has published in prestigious journals such as IEEE Access, CIRP Annals and Engineering Applications of Artificial Intelligence.

In The Last Decade

Wenjin Tao

19 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenjin Tao United States	13	321	307	227	185	155	19	951
Heejin Jeong United States	14	210 0.7×	138 0.4×	192 0.8×	81 0.4×	84 0.5×	100	1.1k
Maura Mengoni Italy	17	196 0.6×	233 0.8×	186 0.8×	179 1.0×	45 0.3×	112	914
Michele Gattullo Italy	21	768 2.4×	340 1.1×	614 2.7×	98 0.5×	135 0.9×	41	1.5k
Sankar Jayaram United States	16	306 1.0×	699 2.3×	189 0.8×	239 1.3×	177 1.1×	52	1.1k
Hongyi Liu China	14	351 1.1×	361 1.2×	321 1.4×	188 1.0×	59 0.4×	48	1.3k
Francisco A. Candelas-Herías Spain	17	194 0.6×	145 0.5×	72 0.3×	268 1.4×	55 0.4×	68	1.2k
Philipp Klimant Germany	15	266 0.8×	193 0.6×	329 1.4×	131 0.7×	54 0.3×	73	743
Filippo Sanfilippo Norway	20	172 0.5×	201 0.7×	110 0.5×	292 1.6×	155 1.0×	119	1.5k
Jivka Ovtcharova Germany	15	102 0.3×	309 1.0×	119 0.5×	149 0.8×	37 0.2×	99	829
Rajesh Kannan Megalingam India	19	475 1.5×	50 0.2×	176 0.8×	225 1.2×	113 0.7×	211	1.4k

Countries citing papers authored by Wenjin Tao

Since Specialization

Citations

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

Fields of papers citing papers by Wenjin Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjin Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjin Tao. A scholar is included among the top collaborators of Wenjin Tao 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 Wenjin Tao. Wenjin Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Al-Amin, Md., et al.. (2024). Real-time action localization of manual assembly operations using deep learning and augmented inference state machines. Journal of Manufacturing Systems. 72. 504–518. 3 indexed citations

Al-Amin, Md., et al.. (2023). Intelligent assembly operations monitoring with the ability to detect non-value-added activities as out-of-distribution (OOD) instances. CIRP Annals. 72(1). 413–416. 5 indexed citations

Al-Amin, Md., Ruwen Qin, Md Moniruzzaman, et al.. (2021). An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly. Journal of Intelligent Manufacturing. 34(2). 633–649. 28 indexed citations

Chen, Haodong, Wenjin Tao, Ming C. Leu, & Zhaozheng Yin. (2020). Dynamic Gesture Design and Recognition for Human-Robot Collaboration With Convolutional Neural Networks. 3 indexed citations

Tao, Wenjin, Md. Al-Amin, Haodong Chen, et al.. (2020). Real-Time Assembly Operation Recognition with Fog Computing and Transfer Learning for Human-Centered Intelligent Manufacturing. Procedia Manufacturing. 48. 926–931. 24 indexed citations

Tao, Wenjin, et al.. (2020). Smart augmented reality instructional system for mechanical assembly towards worker-centered intelligent manufacturing. Journal of Manufacturing Systems. 55. 69–81. 143 indexed citations

Chen, Haodong, Ming C. Leu, Wenjin Tao, & Zhaozheng Yin. (2020). Design of a Real-Time Human-Robot Collaboration System Using Dynamic Gestures. Volume 2B: Advanced Manufacturing. 4 indexed citations

Al-Amin, Md., et al.. (2020). Fusing and refining convolutional neural network models for assembly action recognition in smart manufacturing. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 236(4). 2046–2059. 19 indexed citations

Tao, Wenjin, Ming C. Leu, & Zhaozheng Yin. (2020). Multi-modal recognition of worker activity for human-centered intelligent manufacturing. Engineering Applications of Artificial Intelligence. 95. 103868–103868. 36 indexed citations

10.

Tao, Wenjin, et al.. (2019). A self-aware and active-guiding training & assistant system for worker-centered intelligent manufacturing. Manufacturing Letters. 21. 45–49. 41 indexed citations

11.

Al-Amin, Md., et al.. (2019). Action Recognition in Manufacturing Assembly using Multimodal Sensor Fusion. Procedia Manufacturing. 39. 158–167. 49 indexed citations

12.

Tao, Wenjin, et al.. (2018). Worker Activity Recognition in Smart Manufacturing Using IMU and sEMG Signals with Convolutional Neural Networks. Procedia Manufacturing. 26. 1159–1166. 91 indexed citations

13.

Tao, Wenjin, Ming C. Leu, & Zhaozheng Yin. (2018). American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion. Engineering Applications of Artificial Intelligence. 76. 202–213. 125 indexed citations

14.

Tao, Wenjin, et al.. (2018). Sensor Data Based Models for Workforce Management in Smart Manufacturing. 9 indexed citations

15.

Tao, Wenjin, et al.. (2018). American Sign Language Alphabet Recognition using Leap Motion Controller. 599. 12 indexed citations

16.

Shen, Jianhao, Guofa Li, Wenjin Tao, et al.. (2018). Nighttime Driving Safety Improvement via Image Enhancement for Driver Face Detection. IEEE Access. 6. 45625–45634. 20 indexed citations

17.

Nguyen, Tu N., Wenjin Tao, Ming C. Leu, et al.. (2018). Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect. Procedia Manufacturing. 26. 1193–1203. 153 indexed citations

18.

Tao, Wenjin & Ming C. Leu. (2016). Design of lattice structure for additive manufacturing. 325–332. 185 indexed citations

19.

Tao, Wenjin, et al.. (2016). Engine Sound Simulation and Generation in Driving Simulator. 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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