AI introduction writer
Enter your topic and findings to get a cited introduction that moves from background to progress, gap, this study and significance.
800–1,200 words in English by default (1,200–2,000 characters in Chinese). Credits are charged by actual usage. See credit details
How to write an introduction with AI
- 1
Enter topic and findings
State the topic in one line, then briefly describe what you did and found.
- 2
Design the argument
3–5 points following background, progress, gap, this study and significance, each a specific claim.
- 3
Search per point
English and Chinese queries for each point; full abstracts are read and only supporting papers kept.
- 4
Write it up
1–2 paragraphs per point with clear progression, plus a reference list at the end.
What an introduction should contain
These five moves match the introduction structure Swales described in Genre Analysis: establish the territory, identify the gap, then show how this study fills it.
- 1
Background
Why the field matters and how far it has come.
References 8–12
Write a claim, not a label like "Background".
- 2
Progress
The main approaches to the core problem and what they achieved.
References 8–12
Group by method or problem, not paper by paper.
- 3
Gap
What existing methods still fail to solve, and why it matters.
References 6–10
Progress and gap can cycle once or twice, narrowing each time.
- 4
This study
How your approach responds to the gap.
References 0–1
Describe your approach and expected contribution; don't invent results.
- 5
Significance
What the work means for the field or applications.
References 0–1
Tie it to concrete problems, not vague importance.
A logical introduction with real sources
The argument comes before the prose, and every claim has support.
Every paragraph opens with a claim
Each point is a specific claim, such as "pre-training on large unlabeled molecule sets improves property prediction", not "related work". After reading the paragraph, the reader should believe it.
Sources searched and checked per point
Each point is searched on its own, full abstracts are read, and only supporting papers are kept. If nothing fits, it rephrases and searches again, then softens the claim rather than forcing a citation.
Paragraphs build on each other
From broad progress in the field, to remaining problems, to efforts to solve them and their limits, then to this study, each step narrower than the last.
No invented results
The "this study" part uses only the approach and findings you provide; nothing is fabricated, citations come only from papers found, and specific numbers can be traced to the source.
Watch an introduction being written
From topic to draft, the argument comes first and sources are found point by point. The example is written to show the process; all cited papers are real.
Molecular property prediction underpins drug discovery and materials design. Graph neural networks learn representations of atoms and bonds directly on molecular graphs and have become the mainstream approach (Gilmer et al., 2017; Wu et al., 2018).
To ease the shortage of labels, researchers pre-train GNNs on large unlabeled molecule sets before transferring them to downstream tasks (Hu et al., 2020; Rong et al., 2020). Yet naive pre-training strategies bring limited gains and can even cause negative transfer on some tasks (Hu et al., 2020), leaving high-fidelity labels as the bottleneck.
References
- Gilmer J, Schoenholz S S, Riley P F, et al. Neural Message Passing for Quantum Chemistry. ICML, 2017.
- Wu Z, Ramsundar B, Feinberg E N, et al. MoleculeNet: a benchmark for molecular machine learning. Chemical Science, 2018.
- Hu W, Liu B, Gomes J, et al. Strategies for Pre-training Graph Neural Networks. ICLR, 2020.
- Rong Y, Bian Y, Xu T, et al. Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS, 2020.
Write the introduction for this paper
Five points set: background, progress, gap, this study and significance. Searching sources for each next.
Supporting papers found for every point, 4 in total; the gap cites Hu et al. on negative transfer.
About 1,000 words citing 4 papers, saved as a note.
After the draft, keep refining
Change one paragraph, not the whole thing
To adjust a point or add sources, just say so and only that paragraph changes.
Chinese or English
Choose English to get an introduction written for English journals, about 800–1,200 words.
Expand into a literature review
The papers stay in the workspace, so you can expand the introduction into a state-of-the-art section or a full literature review.
AI literature reviewAcknowledged in published SCI papers
Published papers state in their acknowledgments or AI-use statements that Acadwrite was used to polish the language.
- Theranostics2024Microfluidic chips in female reproduction: a systematic review of status, advances, and challenges
During the preparation of this work the authors used Acadwrite in order to improve readability, grammar and language style.
- Frontiers in Neuroscience2024Physical exercise for brain plasticity promotion an overview of the underlying oscillatory mechanism
We would like to thank Acadwrite (acadwrite.cn) for English language editing.
- Poultry Science2025Effects of induced molting on lipid accumulation in liver of aged laying hens
During the preparation of this work authors used (https://acadwrite.cn/) in order to improve language.
- Aging Medicine2025The Mechanism and Potential Therapeutic Strategies of Vascular Aging
Acadwrite AI (https://acadwrite.cn/apps/polish) was utilized for polishing the English language of the manuscript to enhance readability.
- Interactive Journal of Medical Research2025Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis
During the preparation of this work, the authors used Acadwrite to improve readability, grammar, and language style.
Paper introduction FAQ
Didn't find your answer? Introductions are charged by actual usage; see credit details. See credit details
How do you write a paper introduction?
Follow background, progress, gap, this study and significance: why the field matters, what has been achieved, what remains unsolved, how this study responds, and why it matters. Open each paragraph with a claim and back it with sources.
How is an introduction different from the background section or a thesis introduction chapter?
A journal introduction usually covers background, state of the art and significance together; a thesis chapter is longer and often splits them into subsections. Both narrow from the field to the problem this study addresses.
How many references does an introduction need?
8–12 each for background and progress and 6–10 for the gap are common, with almost none for this study and significance. It varies by field and journal.
Are the citations real?
Citations come only from papers found in real searches, each checked against its full abstract for the point it supports, with links to the originals and a reference list.
Will it invent my results?
No. The "this study" part uses only the approach and findings you enter.
Can it write in English?
Yes. Choose English for about 800–1,200 words, with citations handled the same way.
Can it write a state-of-the-art section?
The progress and gap parts are its core. To make it a separate chapter, expand it in the workspace or use the literature review feature.
How much does it cost?
Sign-in is required. Introductions are written in the workspace and charged by tokens used, at 20 credits per million tokens. See the credits page for details.