ZAIA vs DeepSeek: Which AI Tool is Better For Researchers
Feb 13, 2025 |
8 Mins ReadAI tools have made handling complex tasks easier, but not all of them are created equal. While DeepSeek is widely known and accessible, it is a general-purpose AI tool, available to the public and easily understood by many. In contrast, ZAIA, an AI assistant for researchers developed by Zendy, takes a more specialised approach. Designed specifically for researchers and academics, ZAIA easily integrates into academic workflows with customised tools. Let’s take a closer look at how these two AI tools compare.
What is DeepSeek
DeepSeek AI is a Chinese conversational AI chat created by Liang Wenfeng, mostly used as a general-purpose AI tool that can assist with writing, brainstorming, coding, and more. It’s a Swiss Army knife, good for a lot of things but not customised to a specific need. This makes it a great option for users who need an all-in-one AI assistant rather than a highly specialised tool.
What is ZAIA
ZAIA, Zendy’s AI assistant, is built with researchers in mind. You can ask any research-related question, and ZAIA will analyse millions of academic papers to provide credible, reference-backed answers. In addition, It’s integrated into Zendy to give you access to over 40 million academic research papers and offers AI tools that make chatting, summarising, analysing, and extracting insights from research papers much simpler.
ZAIA and DeepSeek Data & Knowledge Sources
One of the key differences between ZAIA and DeepSeek is how they access and process information.
ZAIA is designed by researchers for researchers, providing direct access to a vast collection of 40 million scholarly publications through Zendy’s massive digital library. This means researchers retrieve precise insights for their research, summarise it, and chat with it, all from credible, peer-reviewed sources.
DeepSeek, on the other hand, is trained on a broad dataset covering various topics but lacks integration with academic databases like Zendy, PubMed or even SpringerLink, and cannot verify sources with citations. While it can generate general information, it lacks the ability to pull insights directly from academic literature, with a high possibility of predatory journals in the outputs.
So, what does DeepSeek do better? As we mentioned above, it helps you in answering questions, brainstorming ideas, helping with writing, summarising information, and providing explanations on complex topics in a clear, understandable way.
A Smarter, Lower Energy Consumption Choice
Since AI became available to the public, concerns about energy consumption have begun to rise. For instance, DeepSeek-V3 required 2,788,000 GPU hours for training, equivalent to 836,400 kWh of energy. According to NDTV News, this consumes less energy compared to the current leading U.S. AI model, ChatGPT.
According to RW Digital, the annual energy consumption for ChatGPT is expected to hit 226.8 GWh. To give you an idea of how much energy that is:
- It could fully charge 3.13 million electric vehicles, which is nearly 95% of all electric vehicles in the United States.
- It could power around 21,602 U.S. homes for a whole year.
- It would be enough to run the entire countries of Finland or Belgium for one day.
On the other hand, ZAIA was developed to minimise energy usage even more, consuming as little as several kilowatts (kW) per server in data centres
ZAIA’s focus on academic tasks means it requires fewer resources. This makes it an environmentally friendly choice for researchers who value sustainability.
Who Should Use Which?
If you’re looking for a general-purpose assistant to handle a variety of tasks, DeepSeek is a good option.
But if you’re a student, researcher, or academic professional who works with research papers regularly, ZAIA is a better fit. It’s built to simplify the research process and provide you with the necessary AI tools and access to your academic needs, integrating AI in scientific research for enhanced productivity and quicker discoveries.
Conclusion
DeepSeek is a great all-around tool, but ZAIA’s focus on the academic field makes it the smarter choice for researchers. It’s affordable, consumes less energy and time, and is designed to make your academic journey smoother. That’s why, when it comes to AI tools, personalisation is the key.
How to Find Peer-Reviewed Articles for Your Research
If you're doing research, you'll want to use reliable sources. Peer-reviewed articles are among the best because experts review them before they're published, ensuring quality and credibility. The benefits of expert peer review in research are significant—it helps maintain high standards, validates findings, and improves the overall reliability of academic work. But how do you find these peer-reviewed journal articles, and how can you tell if a journal is peer-reviewed? Let's break it down. What Are Peer-Reviewed Articles? A peer-reviewed article is one that has been checked by other experts in the field before publication. This process helps make sure the research is solid and trustworthy. Where Can You Find Peer-Reviewed Journal Articles? You can find peer-reviewed articles in a few different places: University Libraries – If you're a student or faculty member, your university library probably gives you access to research databases. Academic Databases – Websites like PubMed, JSTOR, ScienceDirect, and Web of Science have collections of scholarly peer-reviewed articles. Zendy – Affordable and accessible peer-reviewed scholarly content, in partnerships with leading publishers e.g., IntechOpen, IEEE, IT Governance Publishing, and IGI Global, powered by AI. Google Scholar – Some journal articles here are peer-reviewed, but not all. You’ll need to check the source. See The Growth of Digital Libraries: Benefits, Challenges & Trajectory How to Recognise Peer-Reviewed Journal Articles There are 4 ways to check if a journal is peer-reviewed or not: Visit the Journal’s Website – Look for a section about their review process. Use Library Databases – Many academic databases label peer-reviewed journals. Check the Editorial Board – A peer-reviewed journal usually lists experts who review submissions. Look It Up on Ulrichsweb – This directory can tell you if a journal is peer-reviewed. Are Google Scholar Articles Peer-Reviewed? Not necessarily. Google Scholar collects all sorts of academic work, including conference papers and preprints, which may not have gone through peer review. To check, see if the article was published in a reputable journal. What Is a Peer Review Example? Let’s say a scientist submits a research paper to a journal. The editor sends it to other experts, who review it for accuracy and clarity. And then they might suggest changes or reject the paper if it doesn’t meet the journal’s standards. So if the paper gets approved, it’s published as a peer-reviewed article. What’s the Difference Between Peer Review and an Original Article? Peer Review – A process where experts evaluate a research paper before it’s published. Original Article – A research paper that presents new findings. Some original articles are peer-reviewed, while others aren’t. How To Select Peer-Reviewed Journal Articles? When looking for peer-reviewed articles: Check the Journal – Make sure it's known for publishing peer-reviewed articles. Look at the Author’s Background – Are they an expert in the field? Review the References – Good research builds on other credible studies. Use Trusted Databases – Databases like Zendy, PubMed, and Scopus focus on peer-reviewed work. How Do You Know If a Peer-Reviewed Article Is Credible? Even among scholarly peer-reviewed journals, some are more reliable than others. Here’s what to look for: Reputation of the Journal – Some journals have stricter standards than others. Possible Bias – If a study is funded by a company with an interest in the results, for example, a pharmaceutical company funding a study on its own medication might have an interest in positive findings, be cautious. Strong Research Methods – A reliable, peer-reviewed article clearly explains how the research was conducted and how conclusions were reached. Retraction History – Some papers are later retracted due to mistakes or misconduct. Check if the article has been retracted. Final Thoughts It’s not hard to find peer-reviewed journal articles; it just takes a trusted source and a clear understanding of what you’re looking for. Digital libraries like Zendy give you access to everything you need in one place, including both free and paywalled peer-reviewed articles, with over 40 million articles across disciplines like engineering, medicine, economics, and more. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
Impact Factor of Journals: What You Need To Know
The impact factor of journals is a crucial academic publishing metric, serving as a measure of a journal's influence and importance within its field. For you, as a researcher, and institutions alike, understanding this journal classification is essential for making informed decisions about where to publish and which journals to follow. What is Impact Factor? The Impact Factor was created by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Garfield first mentioned the idea of an impact factor in Science magazine in 1955. In the early 1960s, Eugene Garfield with the help of Irving H. Sher created the Journal Impact Factor (JIF) to help select journals for the Science Citation Index (SCI). They developed this metric by re-sorting the researcher citation index into a journal citation index. Initially, the Impact Factor was used internally by ISI to compile the Science Citation Index. In 1975, ISI began publishing the Journal Citation Reports (JCR), which included the Impact Factor calculations for journals. How is the Impact Factor of Journals Calculated? By calculating the average number of citations received by articles published in those journals over a set period of time, typically two years. For example, the 2022 impact factor of journals is calculated as follows: Journal Impact Factor (JIF) = A / B Where: A = Total number of citations in a given year (e.g., 2023) to articles published in the previous two years (e.g., 2021 and 2022). B = Total number of citable items (articles, reviews, etc.) published in those same two years (2021 and 2022). What Does the Impact Factor of Journals Tell a Researcher? The impact factor of journals provides you with valuable insights into a journal's influence and importance within its field. Here's what the impact factor tells you: 1. Journal Quality: A higher impact factor generally indicates a more prestigious and influential journal in its discipline. This can help you identify high-quality publications for your work. 2. Citation Frequency: The impact factor reflects the average number of citations received by articles published in the journal over a specific period. This indicates how frequently the journal's content is cited by other researchers. 3. Visibility and Reach: Journals with higher impact factors tend to have broader readership and greater visibility in the academic community. Publishing in these journals can increase the exposure of your research. 4. Research Influence: The impact factor of journals can serve as a proxy for the potential influence of research published in a particular journal. It suggests how impactful the average article in that journal might be. 5. Career Advancement: Publishing in high impact factor journals can be crucial for academic and professional advancement, often considered in tenure decisions, grant applications, and professional evaluations. 6. Comparative Tool: Researchers can use the impact factor to compare journals within the same field, helping them make informed decisions about where to submit their work. However, it's important to note that the impact factor has limitations. It doesn't measure the quality of individual articles, and it can be influenced by factors such as the number of review articles a journal publishes. You should consider the impact factor alongside other metrics (e.g., SJR scores), and qualitative assessments when evaluating journals for your research. What is a good impact factor? The impact factor (IF) is a metric used to evaluate the influence and quality of academic journals by measuring the frequency with which their articles are cited. Generally, a higher impact factor indicates a more influential journal within its field. However, "good" impact factors vary significantly across different disciplines. For instance, in biochemistry, impact factors are often categorized as follows: Good: 2–4 Great: 5–8 Awesome: 9–14 Excellent: Above 14 It's important to note that these ranges are approximate and can vary based on specific research areas. Additionally, while impact factors provide insight into a journal's citation frequency, they do not necessarily reflect the methodological quality or societal impact of individual articles. Therefore, when assessing research quality, it's advisable to consider multiple metrics alongside the impact factor. What are the Highest Impact Factor Journals Some of the top impact factor journals include: Medical and Life Sciences- CA-A Cancer Journal for Clinicians (254.7)- The New England Journal of Medicine (91.245)- The Lancet (79.321)- Nature Reviews Molecular Cell Biology (94.444) Multidisciplinary Sciences- Nature (50.5)- Science (47.728) Physical Sciences- Chemical Reviews (60.622)- Nature Materials (43.841)- Nature Nanotechnology (39.213) Environmental Sciences- Energy & Environmental Science (38.532)- Nature Geoscience (16.908) Computer Science and Engineering- IEEE Transactions: Systems, Man, and Cybernetics (13.451) These top-tier journals represent the pinnacle of academic publishing, often featuring groundbreaking research and influential studies. Academic Journal Impact: Beyond the Numbers While the impact factor of journals is a valuable journal ranking, it's important to consider other factors when evaluating academic influence: Field-specific considerations: Impact factors can vary significantly between different academic disciplines Citation patterns: Some fields have faster citation cycles than others, affecting impact factor calculations. Journal scope: Specialised journals may have lower impact factors but still be highly influential in their niche. Conclusion Understanding the impact factor of journals is crucial for researchers navigating the academic publishing landscape. While it's a valuable metric, it should be considered alongside other factors when evaluating journal quality and influence. By staying informed about impact factors and their implications, researchers can make more strategic decisions about where to publish their work and maximise the visibility and impact of their research. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
Best AI Tool for Literature Review: 5 Top Picks for 2025
Conducting and writing a literature review has always been the most time-consuming task of any academic research. Weeks of reading countless scientific papers (if not months), summarising key points, and identifying gaps in existing research. Fortunately, AI is making this process a lot easier, faster and more efficient. In this blog, we’ll go through the best AI tool for literature review in 2025. Why Use AI for Literature Reviews? Before we dig into the list of the best AI tool for literature review, let's ask ourselves, why use AI in the first place? The answer is very simple: Saving Time: AI literature review tools can quickly scan thousands of research papers and extract relevant information in seconds. Improving Accuracy: AI tools in research can help you identify key themes, citations, and trends, reducing the chances of missing important studies. Enhancing Organisation: Many AI tools for literature review offer smart categorisation, tagging, and citation management, ensuring a well-structured literature review. Best 5 AI Tools for Literature Review in 2025 Here are the top AI tools that can help you conduct a literature review: 1. ZAIA by Zendy ZAIA is not just the best AI tool for literature review, it’s also one of the best personal AI research Q&A assistants that will help you effectively explore a large amount of academic research. Keyphrase highlighting, summarisation, PDF analysis, and AI insights make it a great AI tool for the literature review process. 2. Elicit Elicit uses AI to automate the research process, allowing you to generate structured summaries, find relevant papers, and extract key insights without manual searching. 3. Research Rabbit This tool is known for its unique visualisation of research connections. It helps users discover related papers and track the evolution of ideas across different studies. 4. Scite Scite provides citation analysis with AI-powered insights, allowing researchers to evaluate how a study has been cited in different contexts—supportive, contrasting, or neutral. 5. Semantic Scholar Powered by AI, Semantic Scholar enhances literature discovery by providing smart recommendations, citation tracking, and insights into academic papers. How to Write a Literature Review Using AI It can be quite difficult to write a literature review, but AI can help in several ways: Summarise Key Points: Summarisation by AI condenses long written materials to easily readable insights. Rewrite and Paraphrase: AI is also useful in manuscript improvements to guarantee clarity and consistency while maintaining professionalism in academia. Ensure Proper Citations: AI citation tools help with reference management and formatting. Refine and Edit: Make your literature review more polished and professional by using writing tools to improve readability and flow. What Is the Difference Between an Annotated Bibliography and a Literature Review? Annotated BibliographyLiterature ReviewPurposeSummarises and evaluates each source individuallySynthesises and analyses sources collectivelyStructureOrganised as a list of citations with annotationsOrganised thematically or methodologicallyDepth of AnalysisFocuses on each source’s contributionIdentifies patterns, gaps, and trends in researchUse in ResearchOften used as a preparatory step for literature reviewsUsed as a foundation for research projects or thesesWriting StyleConcise, source-focusedIntegrative, argument-driven Is It Ethical to Use AI for Literature Reviews? When using AI-powered literature review tools, keep these principles in mind in order to not compromise your research integrity: Use AI responsibly and ethically to avoid plagiarism or creation of misleading content Remember that AI is a tool, not a replacement for human expertise Critically evaluate the information provided by AI tools Exercise judgment when incorporating AI-generated insights into your research By following these guidelines and leveraging AI tools effectively, you can conduct a more efficient and insightful literature review while maintaining the integrity of your research process. Disclaimer: AI-generated content should always be reviewed and verified by researchers to ensure accuracy and ethical compliance in academic work. Conclusion AI tools for literature review are making literature reviews easier, faster, and more organised. Whether you’re a student or a researcher, the right tool can help you sort through academic papers, find key insights, and manage citations without getting overwhelmed. Each tool on this list has something useful to offer. ZAIA is a great choice if you’re looking for the Best AI tool for literature review that highlights key points, summarises research, and helps you navigate academic papers more efficiently. Elicit and Research Rabbit are helpful for finding related studies, while Scite and Semantic Scholar can guide you through citations and academic trends. AI won’t do all the work for you, but it can take some of the pressure off. If you haven’t tried using AI for your literature review yet, now might be a good time to start. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }