Reverse Onion Search

Reverse Onion Search

Systematic method, affordable for beginners.

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CategoryResearch
FromYouMind

Description

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Recommended by

nene@YouMind

Why we love this skill

This skill offers the Reverse Onion Peeling method for literature search, from topic deconstruction to layered search, guiding you to build precise search strategies. Beginners can easily start.

Enter a topic phrase, and it will automatically break down the structure using the Reverse Onion Method → expand synonym groups → generate four-layer search formulas (CNKI + WoS/Google Scholar), along with an execution checklist and filtering strategies. Suitable for all disciplines; search formulas can be directly copied and used. 🎯 What pain points does it solve? ❌ Entering a full sentence directly in the search box → 0 results ❌ Searching only one keyword → 5000 results, overwhelming ❌ Can't break down the topic → no direction for search terms ✅ Input 'Middle-class educational anxiety and shadow education practices' → outputs 30+ ready-to-paste search formulas + synonym table + layered execution checklist 📐 Core Method: Reverse Onion Method From inside out, from narrow to wide, three layers of progressive expansion – core layer precisely locks in 4 must-read papers, expansion layer finds 48 directly related studies, panoramic layer builds domain volume awareness. 🔧 Output includes: • Three-element topic breakdown (modifier + research unit + research dimension) • 5-8 synonym concepts per element, with Chinese-English pairs, superordinate/subordinate concepts • Layer 1: 8 groups of three-element combined search formulas (title → topic, tight → loose) • Layer 2: 3 types of two-element pairings (annotated core/background usage) • Layer 3: Single-element panoramic search formula • Layer 4: Superordinate concept expansion strategy • 📋 Six-step execution checklist + filtering criteria per layer (highly cited + most recent) 👥 Who is it for? Academic beginners, graduate students, early-career researchers – anyone who needs systematic literature search rather than keyword guessing.

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