RESEARCH PAPER · Scientia Sinica Technologica · 2022
Machine learning of the mechanical properties and data-driven design of lead-free solder alloys
Read original paper ↗See where this research leads.
1 direct citing papers in this saved network. Explore the next layer with second-order citations.
Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers Filters active
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
No journals match your search.
Most represented first · select one or moreExplore Terms In These PapersHide SuggestionsShow Suggestions
Original and current center papers stay visible as anchors.
No additional second-order papers found.42 direct citing works
A readable overviewMost-cited matching papers first. Filters and the list below search every saved direct citing paper.
CURRENT CENTER PAPERRinged node = current center · dark node = original paper
No citing papers match these filters. Change a term or clear filters to see the network again.
Paper details drag to move
citations received
Abstract From The Index
Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.
Browse Matching Papers
Papers that cite this work
1 direct citing papers saved.
Unlocking strength-ductility synergy in tungsten heavy alloys through interpretable machine learning
Materials & Design · 2026-01-23
Hang Fu, Qingshan Cai, Yifan Han, Zhikai Li, Tianhao Wu, Yunzhu Ma, Wensheng Liu
Read original paper ↗ ·