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.
Digital twin-driven product design framework
2018799 citationsFei Tao, Ang Liu et al.International Journal of Production Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stephen C.-Y. Lu
Since
Specialization
Citations
This map shows the geographic impact of Stephen C.-Y. Lu'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 Stephen C.-Y. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C.-Y. Lu more than expected).
Fields of papers citing papers by Stephen C.-Y. Lu
This network shows the impact of papers produced by Stephen C.-Y. Lu. 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 Stephen C.-Y. Lu. The network helps show where Stephen C.-Y. Lu may publish in the future.
Co-authorship network of co-authors of Stephen C.-Y. Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C.-Y. Lu.
A scholar is included among the top collaborators of Stephen C.-Y. Lu 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 Stephen C.-Y. Lu. Stephen C.-Y. Lu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tao, Fei, Ang Liu, Qinglin Qi, et al.. (2018). Digital twin-driven product design framework. International Journal of Production Research. 57(12). 3935–3953.799 indexed citations breakdown →
5.
Dai, Yun, Ang Liu, James R. Morrison, & Stephen C.-Y. Lu. (2016). Systemic design of interactive learning environment for global engineering courses. International journal of engineering education. 32(6). 2597–2611.3 indexed citations
Lu, Stephen C.-Y., et al.. (2008). An Argument-based Approach to Manage Collaborative Negotiations in Software Systems Design. Industrial Engineering & Management Systems. 7(3). 266–287.4 indexed citations
Tseng, Mitchell M., Torsten Kjellberg, & Stephen C.-Y. Lu. (2003). Design in the New e-Commerce Era. CIRP Annals. 52(2). 509–519.43 indexed citations
13.
Lu, Stephen C.-Y., et al.. (2002). Conflict Management in Collaborative Engineering Design: Basic Research in Fundamental Theory, Modeling Framework, and Computer Support for Collaborative Engineering Activities. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).
Tcheng, David, Bruce L. Lambert, Stephen C.-Y. Lu, & Larry Rendell. (1989). Building robust learning systems by combining induction and optimization. International Joint Conference on Artificial Intelligence. 806–812.34 indexed citations
20.
Lu, Stephen C.-Y. & R. Komanduri. (1986). Knowledge-based expert systems for manufacturing : presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Anaheim, California, December 7-12, 1986.4 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.