mlsanityData to 7 Oct 2026

Patent Data for Engineering Design: A Critical Review and Future Directions

arXiv 2111.08500 ↗First posted 15 Nov 2021cs.DL cs.AIcited by 5

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Abstract (arXiv)

Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data science present unprecedented opportunities to develop data-driven design methods and tools, as well as advance design science, using the patent database. Herein, we survey and categorize the patent-for-design literature based on its contributions to design theories, methods, tools, and strategies, as well as the types of patent data and data-driven methods used in respective studies. Our review highlights promising future research directions in patent data-driven design research and practice.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 13 of its 136 references that are in the map. First posted on arXiv 15 Nov 2021.

Builds on

13 of 136 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,543
  4. 2018Deep Learning on Graphs: A Surveycited by 393
  5. 2021Deep Generative Models in Engineering Design: A Reviewcited by 103
  6. 2019Patent Claim Generation by Fine-Tuning OpenAI GPT-2cited by 49
  7. 2021Data-Driven Design-by-Analogy: State of the Art and Future Directionscited by 18
  8. 2021Engineering Knowledge Graph from Patent Databasecited by 18
  9. 2017Patent Retrieval: A Literature Reviewcited by 17
  10. 2020PatentMatch: A Dataset for Matching Patent Claims & Prior Artcited by 14
  11. 2021Deep Learning for Technical Document Classificationcited by 11
  12. 2020Design Knowledge Representation with Technology Semantic Networkcited by 5
1 more
  1. 2020Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learningcited by 4

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Cited by year

Citing papers per year: 2023: 1; 2024: 2; 2025: 2.

5 papers.

  1. 2024Natural Language Processing in the Patent Domain: A Surveycited by 20
  2. 2024AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Modelscited by 8
  3. 2023The Innovation Paradox: Concept Space Expansion with Diminishing Originality and the Promise of Creative AIcited by 2
  4. 2025RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Modelscited by 0
  5. 2025Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Eracited by 0