Gathering and Reusing the Specialist Knowledge in the Collaborative Environment for Automotive Troubleshooting Service

Jeremy S Liang

International Journal of Knowledge-Based Development2026https://doi.org/10.1504/ijkbd.2026.10077047article
AJG 1
Weight
0.50

What the paper says

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijkbd.2026.10077047

Or copy a formatted citation

@article{jeremy2026,
  title        = {{Gathering and Reusing the Specialist Knowledge in the Collaborative Environment for Automotive Troubleshooting Service}},
  author       = {Jeremy S Liang},
  journal      = {International Journal of Knowledge-Based Development},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijkbd.2026.10077047},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Gathering and Reusing the Specialist Knowledge in the Collaborative Environment for Automotive Troubleshooting Service

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.