ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.13624
  4. Cited By
Technology Fitness Landscape for Design Innovation: A Deep Neural
  Embedding Approach Based on Patent Data

Technology Fitness Landscape for Design Innovation: A Deep Neural Embedding Approach Based on Patent Data

21 October 2021
Shuo Jiang
Jianxi Luo
ArXivPDFHTML

Papers citing "Technology Fitness Landscape for Design Innovation: A Deep Neural Embedding Approach Based on Patent Data"

4 / 4 papers shown
Title
Patent Data for Engineering Design: A Critical Review and Future
  Directions
Patent Data for Engineering Design: A Critical Review and Future Directions
Shuo Jiang
Serhad Sarica
Binyang Song
Jie Hu
Jianxi Luo
PINN
AI4CE
29
12
0
15 Nov 2021
Data-Driven Design-by-Analogy: State of the Art and Future Directions
Data-Driven Design-by-Analogy: State of the Art and Future Directions
Shuo Jiang
Jie Hu
Kristin L. Wood
Jianxi Luo
39
54
0
03 Jun 2021
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
362
15,066
0
07 Jun 2017
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
158
9,231
0
16 May 2014
1