Zhenghui Sha

1.0k total citations
97 papers, 710 citations indexed

About

Zhenghui Sha is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Zhenghui Sha has authored 97 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 20 papers in Industrial and Manufacturing Engineering and 19 papers in Automotive Engineering. Recurrent topics in Zhenghui Sha's work include Manufacturing Process and Optimization (17 papers), Product Development and Customization (17 papers) and Design Education and Practice (16 papers). Zhenghui Sha is often cited by papers focused on Manufacturing Process and Optimization (17 papers), Product Development and Customization (17 papers) and Design Education and Practice (16 papers). Zhenghui Sha collaborates with scholars based in United States, China and Australia. Zhenghui Sha's co-authors include Jitesh H. Panchal, Charles Xie, Wenchao Zhou, Xinggang Li, Karthik Kannan, Mingxian Wang, Yan Fu, Wei Chen, Noshir Contractor and Molly Goldstein and has published in prestigious journals such as Journal of Mechanical Design, Computer-Aided Design and Advanced Engineering Informatics.

In The Last Decade

Zhenghui Sha

87 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenghui Sha United States	17	234	183	139	129	82	97	710
Shanhe Lou China	15	73 0.3×	220 1.2×	89 0.6×	98 0.8×	87 1.1×	45	649
Runhua Tan China	16	379 1.6×	280 1.5×	382 2.7×	34 0.3×	55 0.7×	158	962
Senthil Chandrasegaran United States	12	303 1.3×	262 1.4×	180 1.3×	38 0.3×	60 0.7×	31	786
Windo Hutabarat United Kingdom	14	108 0.5×	636 3.5×	82 0.6×	60 0.5×	67 0.8×	43	1.1k
Fengtian Chang China	16	131 0.6×	441 2.4×	70 0.5×	39 0.3×	23 0.3×	42	758
Egon Ostrosi France	16	160 0.7×	244 1.3×	199 1.4×	42 0.3×	81 1.0×	54	532
Julien Le Duigou France	17	181 0.8×	382 2.1×	159 1.1×	77 0.6×	16 0.2×	54	691
Eun Suk Suh South Korea	16	430 1.8×	272 1.5×	673 4.8×	97 0.8×	35 0.4×	42	1.0k
Gregory Mocko United States	17	534 2.3×	381 2.1×	437 3.1×	54 0.4×	39 0.5×	91	979
Mario Štorga Croatia	14	289 1.2×	135 0.7×	229 1.6×	13 0.1×	59 0.7×	98	615

Countries citing papers authored by Zhenghui Sha

Since Specialization

Citations

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

Fields of papers citing papers by Zhenghui Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghui Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghui Sha. A scholar is included among the top collaborators of Zhenghui Sha 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 Zhenghui Sha. Zhenghui Sha 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:

20 of 20 papers shown

Li, Xinggang, et al.. (2025). Large Language Models for Computer-Aided Design Fine Tuned: Dataset and Experiments. Journal of Mechanical Design. 147(4). 2 indexed citations

Lin, Xiao, et al.. (2025). AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

Zhou, Wenchao, et al.. (2025). SafeZone*: A Graph-Based and Time-Optimal Cooperative 3D Printing Framework. Journal of Computing and Information Science in Engineering. 25(6). 1 indexed citations

Zhou, Wenchao, Matt Pharr, Yuri Estrin, et al.. (2025). NoodlePrint: Cooperative Multi-Robot Additive Manufacturing With Helically Interlocked Tiles. Journal of Manufacturing Science and Engineering. 147(6). 2 indexed citations

Contractor, Noshir, et al.. (2024). Survey data on customer two-stage decision-making process in household vacuum cleaner market. Data in Brief. 54. 110353–110353. 1 indexed citations

Yaji, Kentaro, et al.. (2024). Latent Crossover for Data-Driven Multifidelity Topology Design. Journal of Mechanical Design. 146(5). 13 indexed citations

Sha, Zhenghui, et al.. (2024). LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation. Journal of Computing and Information Science in Engineering. 25(2). 6 indexed citations

Chen, Siyu, Alparslan Emrah Bayrak, & Zhenghui Sha. (2024). A Cost-Aware Multi-Agent System for Black-Box Design Space Exploration. Journal of Mechanical Design. 147(1). 1 indexed citations

Bayrak, Alparslan Emrah, et al.. (2024). Empirical evidence and computational assessment on design knowledge transferability. Design Science. 10. 1 indexed citations

10.

Sha, Zhenghui, et al.. (2024). Network Analysis of Two-Stage Customer Decisions With Preference-Guided Market Segmentation. Journal of Computing and Information Science in Engineering. 25(6).

11.

Sha, Zhenghui, et al.. (2024). LLM4CAD: Multi-Modal Large Language Models for 3D Computer-Aided Design Generation. 6 indexed citations

12.

Zhou, Wenchao, et al.. (2024). SafeZone: A Topologically-Aware Voronoi-Based Framework for Fast Collision-Free Cooperative 3d Printing.

13.

Sha, Zhenghui, et al.. (2023). A network-based discrete choice model for decision-based design. Design Science. 9. 3 indexed citations

14.

Li, Xinyu, Pai Zheng, Zhenghui Sha, Dazhong Wu, & Ying Liu. (2023). Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization. Advanced Engineering Informatics. 57. 102022–102022. 1 indexed citations

15.

Li, Xinggang, Charles Xie, & Zhenghui Sha. (2023). Design representation for performance evaluation of 3D shapes in structure-aware generative design. Design Science. 9. 5 indexed citations

16.

Xie, Charles, et al.. (2019). A Deep Learning Based Approach to Predict Sequential Design Decisions. 7 indexed citations

17.

Sha, Zhenghui, et al.. (2018). Analyzing Participant Behaviors in Design Crowdsourcing Contests Using Causal Inference on Field Data. Journal of Mechanical Design. 140(9). 10 indexed citations

18.

Gashler, Michael S., et al.. (2018). Automatic Clustering of Sequential Design Behaviors. 10 indexed citations

19.

Sha, Zhenghui, et al.. (2015). Modeling Airlines Decisions On Route Selection Using Discrete Choice Models - Data and Supplementary Materials. 3 indexed citations

20.

Sha, Zhenghui & Jitesh H. Panchal. (2013). Estimating the Node-Level Behaviors in Complex Networks From Structural Datasets. 4 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.

Explore authors with similar magnitude of impact