Zhenyu Kong

4.5k total citations · 1 hit paper
121 papers, 3.3k citations indexed

About

Zhenyu Kong is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Zhenyu Kong has authored 121 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Industrial and Manufacturing Engineering, 42 papers in Mechanical Engineering and 22 papers in Automotive Engineering. Recurrent topics in Zhenyu Kong's work include Manufacturing Process and Optimization (29 papers), Industrial Vision Systems and Defect Detection (27 papers) and Additive Manufacturing and 3D Printing Technologies (21 papers). Zhenyu Kong is often cited by papers focused on Manufacturing Process and Optimization (29 papers), Industrial Vision Systems and Defect Detection (27 papers) and Additive Manufacturing and 3D Printing Technologies (21 papers). Zhenyu Kong collaborates with scholars based in United States, China and Türkiye. Zhenyu Kong's co-authors include Prahalada Rao, Wenzhen Huang, Asil Oztekin, Chenang Liu, D.G. Roberson, Satish Bukkapatnam, Dariusz Ceglarek, Christopher B. Williams, Jia Liu and Dursun Delen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.

In The Last Decade

Zhenyu Kong

115 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning

2023 208 citations Chenang Liu, Zhenyu Kong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenyu Kong United States	33	1.4k	1.1k	938	479	290	121	3.3k
Satish Bukkapatnam United States	36	1.2k 0.9×	674 0.6×	560 0.6×	712 1.5×	303 1.0×	213	4.0k
Yongsheng Ma Canada	35	1.1k 0.8×	1.5k 1.4×	999 1.1×	262 0.5×	144 0.5×	183	3.9k
Kazuhiro Saitou United States	30	769 0.6×	786 0.7×	285 0.3×	533 1.1×	260 0.9×	189	3.5k
Weihong Guo United States	30	660 0.5×	737 0.6×	485 0.5×	200 0.4×	119 0.4×	128	2.7k
Shengfeng Qin United Kingdom	27	1.0k 0.8×	1.3k 1.1×	160 0.2×	352 0.7×	173 0.6×	196	3.4k
Weidong Li China	42	1.6k 1.2×	2.8k 2.5×	633 0.7×	422 0.9×	423 1.5×	327	5.8k
Aydin Nassehi United Kingdom	28	1.1k 0.8×	2.4k 2.1×	506 0.5×	262 0.5×	121 0.4×	123	3.8k
Gang Xiong China	35	784 0.6×	916 0.8×	865 0.9×	376 0.8×	544 1.9×	447	5.5k
Behrooz Arezoo Iran	26	1.0k 0.7×	1.0k 0.9×	195 0.2×	322 0.7×	172 0.6×	83	2.5k
Nabil Gindy United Kingdom	37	1.9k 1.4×	1.6k 1.4×	241 0.3×	734 1.5×	96 0.3×	146	3.9k

Countries citing papers authored by Zhenyu Kong

Since Specialization

Citations

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

Fields of papers citing papers by Zhenyu Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Kong

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

Wang, Rongxuan, et al.. (2025). Automatic melt pool tracking and segmentation in laser powder bed fusion using X-ray image sequence. Journal of Intelligent Manufacturing. 1 indexed citations

Li, Tao, Zhenyu Kong, Yuanyuan Sun, et al.. (2024). Oxygen vacancies-rich Co3O4 cones loaded low content Pd for efficient and fast electrocatalytic hydrodechlorination. Applied Catalysis B: Environmental. 351. 123968–123968. 10 indexed citations

Shen, Bo, et al.. (2024). Deep Gaussian process for enhanced Bayesian optimization and its application in additive manufacturing. IISE Transactions. 57(4). 423–436. 3 indexed citations

Wang, Rongxuan, et al.. (2023). Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform. Additive manufacturing. 66. 103449–103449. 42 indexed citations

Shen, Bo, et al.. (2023). A novel sparse Bayesian learning and its application to fault diagnosis for multistation assembly systems. IISE Transactions. 56(1). 84–97. 2 indexed citations

Shen, Bo, et al.. (2023). Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network. Journal of Intelligent Manufacturing. 35(5). 2387–2406. 28 indexed citations

Shen, Bo, et al.. (2023). Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15588–15603. 8 indexed citations

Shen, Bo & Zhenyu Kong. (2023). Active defect discovery: A human-in-the-loop learning method. IISE Transactions. 56(6). 638–651. 1 indexed citations

Wang, Yinan, et al.. (2023). WOOD: Wasserstein-Based Out-of-Distribution Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 944–956. 4 indexed citations

10.

Shen, Bo, et al.. (2022). Multi-task Gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing. IISE Transactions. 55(5). 496–508. 11 indexed citations

11.

Shen, Bo, et al.. (2022). Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. 20(1). 583–596. 13 indexed citations

12.

Liu, Chenang, et al.. (2022). Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach. Journal of Intelligent Manufacturing. 34(6). 2673–2689. 38 indexed citations

13.

Liu, Chenang, et al.. (2021). Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection. IEEE Transactions on Automation Science and Engineering. 19(4). 3338–3355. 58 indexed citations

14.

Shen, Bo, Weijun Xie, & Zhenyu Kong. (2020). Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. 18(4). 1998–2010. 14 indexed citations

15.

Liu, Jia, Jingyi Zheng, Prahalada Rao, & Zhenyu Kong. (2020). Machine learning–driven in situ process monitoring with vibration frequency spectra for chemical mechanical planarization. The International Journal of Advanced Manufacturing Technology. 111(7-8). 1873–1888. 9 indexed citations

16.

Esfahani, Mohammad Iman Mokhlespour, Maury A. Nussbaum, & Zhenyu Kong. (2019). Using a smart textile system for classifying occupational manual material handling tasks: evidence from lab-based simulations. Ergonomics. 62(6). 823–833. 19 indexed citations

17.

Sun, Hongyue, Prahalada Rao, Zhenyu Kong, Xinwei Deng, & Ran Jin. (2017). Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. IEEE Transactions on Automation Science and Engineering. 15(1). 393–403. 33 indexed citations

18.

Liu, Jia, Ömer Faruk Beyca, Prahalada Rao, Zhenyu Kong, & Satish Bukkapatnam. (2016). Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. IEEE Transactions on Automation Science and Engineering. 14(1). 208–221. 25 indexed citations

19.

Tootooni, M. Samie, Prahalada Rao, Chun-An Chou, & Zhenyu Kong. (2016). A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes. IEEE Transactions on Automation Science and Engineering. 15(1). 127–144. 41 indexed citations

20.

Huang, Wenzhen, et al.. (2004). The analysis of feature-based measurement error in coordinate metrology. IIE Transactions. 36(3). 237–251. 10 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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