AI Discovery Zone @ EdUHK Library's Research Support

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The Library has already subscribed to Scite, a powerful AI research tool designed to elevate your research experience. 

Our subject guide, “AI Tools for Your Research: Scite” explains its features and provides instructions for getting started. Recently Scite has launched a new feature, Tables in Scite Assistant, a major advancement that enables researchers to extract, organize and analyze data from scientific literature. 


How to Use AI Tables?
Scite's AI Tables do more than just summarize papers—they help you extract specific data points, methodologies, and outcomes directly from scientific articles.

Step 1: Go to Scite Assistant and select “Use Table Mode” for the new Table function.

 

Step 2: Click “Add Column” and type “name” and “instructions” for the new column. You can choose the length of the answers, from short to long.

 

Step 3: Continue creating new columns, such as “Methodology,” “Key Findings,” and others, to organize and analyze your data effectively.

In addition, you can export all references with all columns in various formats, such as CSV, ris and BibTeX.

 

New Improvements to Scite Assistant

OpenAI o3 mini + Reasoning

A new AI model, OpenAI o3 mini, now integrates advanced reasoning capabilities and is being utilized by Scite. Scite enhances its platform by combining its own datasets and access to scholarly content with powerful AI models, offering researchers tools for analysis and discovery.

What is “Reasoning”?

Reasoning Models: These are advanced AI systems that go beyond simple pattern recognition (which is what most standard AI models do). Instead, they are designed to:

  1. Think through problems internally before answering.
  2. Consider multiple approaches to solving a question.
  3. Evaluate the accuracy of different possible answers. 
  4. Plan structured and coherent responses.
  5. Solve multi-step problems methodically.

Covidence = “Collaboration” + “Evidence”, is a powerful web-based platform designed to simplify and accelerate the systematic review process. Researchers and students may feel the systematic review workload is overwhelming, from screening thousands of articles to extracting data and resolving conflicts. 

 


What can Covidence do?

Covidence can support key stages of the review process, including:


Get Started with Covidence

While the library does not currently have a subscription to Covidence, a trial has been established for all EdUHK members until April 15, 2025. Trial accounts can only be created by invitation. If you are interested in trying it out, please inform us at myhyiu@eduhk.hk, and the library will send you an invitation as below:

Invitation

Note: When you fill in the required information to complete the registration, remember to use your EdUHK email.

 


Training Resources from Covidence

Covidence has its own YouTube channel with video tutorials to to guide you through the main features of the system. 


 

Useful Resources from Covidence

Conducting a literature review can feel overwhelming. With so many research papers published yearly, finding the most important and relevant studies can be tough. That's where Litmaps comes in. This article will show you how to use Litmaps for an efficient literature review.

Note that EdUHK Library does not currently have a subscription to Litmaps. This introduction to the tool is solely for educational and research purposes.


What is Litmaps?


Litmaps is an AI-powered research discovery tool that creates interactive visual maps of academic literature. By analyzing citation networks, Litmaps can help you: 

  • See how literature connects
  • Find relevant articles
  • Not miss important papers
  • Get updated on changing literature
  • Stay organized

     

Visualize Your Research with Litmaps

 

Step 1: Go to Litmaps and set up a free account. We start by looking for just one paper on your topic. Our research topic is “The Impact of Virtual Reality on Learning Outcomes in Higher Education”.

Tip: Look for articles with more citations. This will make it easier to find more related literature in the next step.

Step 2:  Select one article as your starting article and click “Explore Related Articles” 

Step 3: The initial Litmap provides a foundational overview of the scientific literature connected to your starting article, but it’s only the beginning. To explore more topics, click "More like this" for articles that interest you.  Then, you can click "Refresh" to see new recommendations.

Step 4: Tag articles by assigning them different keywords and color codes. Over time, this will help you create a map similar to the one shown below. What's more, Litmaps offers multiple options for sharing your visualization map with others.


Monitor Your Map to Stay Up-To-Date

 

After completing a literature review, it can take months or years for works to be published. To stay up to date, the best approach is to enable the ongoing monitoring of your map. Simply go to the map’s homepage and click “Enable Automatic Monitoring”. Once activated, Litmaps will automatically run your map through its search algorithm every week and notify you if any newly published articles match or connect to your research.


Summary

 

A successful literature review tells a concise story about the topic, leaving the reader satisfied with the field's current state while addressing gaps and framing new research.

Litmaps displays the most relevant papers in batches of 10, organized in a unique graph format. This graph highlights highly cited papers (top) and recent publications (right), making identifying influential and up-to-date research easy. 

With more content produced daily by AI tools, distinguishing between human-written and machine-generated text has become increasingly challenging. This makes trustworthy detection tools essential for students, writers, and professionals.

In our previous guide on AI Research Tools for Literature Reviews, we introduced SciSpace, an AI-powered platform.  Today, we will introduce one key function of SciSpace, “AI Detector”, to catch AI-generated text. We'll cover how the SciSpace AI Detector works and its pros & cons.

 

What Is SciSpace AI Detector?

SciSpace AI Detector is an AI-driven tool created to detect AI-generated text, especially in scientific, academic, and technical writing. With SciSpace, you can quickly get AI detection reports, whether you have a freeform text or a PDF essay. Just paste your content into the text editor or upload your document, and you’ll receive reliable results. This way, you can easily edit your work to lower the AI content score and ensure your writing reflects your voice.   

 

Benefits of SciSpace AI Detector

  • Detects AI in Any Document Type

    The AI detector identifies AI-generated text in various formats, whether scientific or non-scientific.

  • Accurate Detection Reports

    Get a detailed AI detection report with 98% accuracy, and the percentage score indicates the likelihood of AI presence in the document. However, the report's accuracy may vary depending on the specific document. 

  • Track Your Scans

    Access all your scanned documents under "My Scans" to review and monitor your AI detection scores over time.

     

Limitations of SciSpace AI Detector

  • Language Support

    Currently, the tool only supports English, which may limit its usability for non-English documents.

  • File Size and Page Limit for PDFs

    While there is no word limit, users can only upload PDFs up to 100 MB or 50 pages, which may restrict the analysis of larger documents.

 

How to Use SciSpace AI Detector?

Step 1: Get started — https://typ.st/3C6VvfK  and copy your text.

Step 2: Select to upload PDF

 

Price of SciSpace AI Detector

SciSpace AI Detector offers both a free plan and a paid premium option. The free plan allows you to access most of the basic detection features for a limited time. The Premium plan, which is ideal for professionals and academics, costs approximately $12 per month (billed annually) for advanced features and higher accuracy.

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