Welcome, researchers and scholars, to our blog on “Review Paper Topics Using ChatGPT: 3 Quick and Easy Steps to Finding Unique Topics.” Writing a review paper can be a rewarding yet challenging task, especially when it comes to selecting a distinctive and relevant topic. In this blog, we will guide you through three straightforward steps to uncovering unique and engaging topics for your review paper using the power of ChatGPT, an AI language model. So, let’s dive in!
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Step 1: Start with Your Area of Interest
The first step in finding a unique topic for your review paper is to start with a broad domain that genuinely interests you. Consider your expertise and experiences when selecting the domain, as it will make the research process more enjoyable and insightful.
While choosing a relatively new topic might be risky, it can also be highly rewarding due to the lack of existing information and lower competition. Let’s take two different domains as examples to understand this better:
1. Image Processing (Technical Field): Image processing is a well-established and broad domain with a long history of publications. As a result, writing a comprehensive review paper for this topic could be challenging, given the vast amount of existing data.
2. Electric Vehicle (EV) Policies and Standards (Non-Technical Field): EV policies are still being formulated in many countries, making it a relatively new and evolving domain. While finding journals with extensive publications on this topic may be more challenging, it offers a unique opportunity to explore uncharted territory and reference government reports, enhancing the chance of acceptance in a journal.
Step 2: Find the Top Journals for Your Topic
After selecting your domain of interest, the next step is to find the top journals that cover relevant articles on the chosen topics. Sites like Elsevier Journal Finder, IEEE Publication Recommender, Scimago Journal & Country Rank etc., can help you find top journals for your keyword.
Additionally, you can leverage AI tools like ChatGPT and Research Rabbit to generate a list of journals that publish articles related to your interest. For instance, we can prompt ChatGPT to create a table of the top journals for both Image Processing and EV Policies:
ChatGPT Prompt (for image processing): Create a table to list the top journals that published articles for image processing. The table format is “””| Serial Number | Name of Journal | Publisher | Impact Factor | ISSN |”””
ChatGPT Response: Sure! Here’s a table listing the top journals that have published articles related to image processing:
| Serial Number | Name of Journal | Publisher | Impact Factor | ISSN |
| 1 | IEEE Transactions on Image Processing | IEEE | 10.744 | 1057-7149 |
| 2 | Pattern Recognition | Elsevier | 8.515 | 0031-3203 |
| 3 | Computer Vision and Pattern Recognition Letters | Elsevier | 3.581 | 0167-8655 |
| 4 | International Journal of Computer Vision | Springer | 7.420 | 0920-5691 |
| 5 | Image and Vision Computing | Elsevier | 3.907 | 0262-8856 |
| 6 | Journal of Mathematical Imaging and Vision | Springer | 2.113 | 0924-9907 |
| 7 | Journal of Real-Time Image Processing | Springer | 2.752 | 1861-8200 |
| 8 | Signal Processing: Image Communication | Elsevier | 3.474 | 0923-5965 |
| 9 | Journal of Visual Communication and Image Representation | Elsevier | 2.938 | 1047-3203 |
| 10 | Journal of Electronic Imaging | SPIE | 1.212 | 1017-9909 |
Please note that the impact factors and ISSNs listed in this table are based on information available up to my last update in September 2021. Impact factors may change over time, so it’s always a good idea to check the latest data when referencing these journals.
ChatGPT Prompt (for EV policies): Create a table to list the top journals that published articles for electric vehicle policies. The table format is “””| Serial Number | Name of Journal | Publisher | Impact Factor | ISSN |”””
ChatGPT Response: Certainly! Here’s a table listing the top journals that have published articles related to electric vehicle policies:
| Serial Number | Name of Journal | Publisher | Impact Factor | ISSN |
| 1 | Transportation Research Part D | Elsevier | 7.203 | 1361-9209 |
| 2 | Energy Policy | Elsevier | 5.042 | 0301-4215 |
| 3 | Journal of Cleaner Production | Elsevier | 9.297 | 0959-6526 |
| 4 | Sustainability | MDPI | 2.576 | 2071-1050 |
| 5 | Renewable and Sustainable Energy Reviews | Elsevier | 13.253 | 1364-0321 |
| 6 | Environmental Science & Policy | Elsevier | 5.716 | 1462-9011 |
| 7 | Journal of Environmental Management | Elsevier | 5.647 | 0301-4797 |
| 8 | International Journal of Sustainable Transportation | Taylor & Francis | 1.606 | 1556-8318 |
| 9 | Transportation Research Part A | Elsevier | 6.467 | 0965-8564 |
| 10 | Energy | Elsevier | 6.082 | 0360-5442 |
Please note that the impact factors and ISSNs listed in this table are based on information available up to my last update in September 2021. Impact factors may change over time, so it’s always a good idea to check the latest data when referencing these journals.
Note that the ChatGPT has informed that the information is about two years old. However, there will not a major change in the rankings in two-year period. Hence, it is quite safe for us to use these journals for reference. Nevertheless, it’s always advisable to cross-check the latest data.
Step 3: Finding a Specific Topic for Your Review Paper – Review Paper Topics Using ChatGPT
Now that we have the list of top journals for our chosen domains, it’s time to narrow down and find a specific topic for our review paper. To achieve this, we’ll focus on the most cited papers in each journal and look for common keywords among them.
In the case of Image Processing, one common keyword that stands out in the most cited papers is “Image Segmentation.” However, to make our review paper more relevant and up-to-date, we can focus on other keywords based on applications (e.g., Fingerprint Recognition, Face Recognition, Emotion Recognition, Medical Images, etc.) or implementation methods (e.g., Neural Networks, Machine Learning, Artificial Intelligence, etc.).
Combining these keywords, we can arrive at a broad title for our review paper: “Image Segmentation for Fingerprint Recognition Using Machine Learning.” As we gather more background material, we can further refine our title with the help of AI tools.
For the topic of EV Policies, we observed that the top journals are from Elsevier, and the Global EV Policy Explorer provides extensive material in this area. One common keyword that emerges across various EV policies worldwide is “Financial Assistance for EV Infrastructure Development.”
Hence, we may choose to focus on the title: “Financial Assistance for EV Infrastructure Development Across the Globe: A Comprehensive Survey of Policies.” As we proceed with our research, we can modify the title based on the collected content to ensure it accurately reflects the paper’s focus.
Next step : Literature collection and writing the paper
The value of a review paper is based on the content coverage in the paper. We must try to cover as many points as possible related to our topic. However, we must moderate on the points to cover as we may lose the connectivity amongst the topics covered. One of the best ways to be subjective it to collect published material on the topic and categorize them. The categories will help us decide the headings and structure of our review paper.
AI tool Research Rabbit is a great tool that will help us to collect our reference work. This step is very similar to preparing the Ph. D. Proposal. We have already discussed the process of collecting the papers through Research Rabbit and making a summary using ChatGPT in our post: ChatGPT for PhD Proposal: How to write a Winning Research Proposal with AI in 7 Simple Steps.
Conclusion
In conclusion, writing a review paper can be an exciting journey of exploration and discovery. By following these three quick and easy steps, you can use ChatGPT to find unique and engaging topics that align with your interests and expertise. Remember to leverage the power of AI tools to create a compelling and informative review paper that contributes to the advancement of knowledge in your chosen domain.
Dr. Honey Durgaprasad Tiwari
Dr. Honey Durgaprasad Tiwari, both the CTO at INKOR Technologies Private Limited, India, and a dedicated academic researcher, brings a wealth of expertise. With a Post-Doctoral stint at Sungkyunkwan University, Ph.D. in Electronic, Information and Communication Engineering from Konkuk University, Seoul, South Korea, and M.Tech in Embedded Electronic Systems from VNIT Nagpur, his research legacy spans wireless power transfer, medical imaging, and FPGA innovation. Notably, he has authored 40+ SCI papers, conference contributions, and patents, leaving an indelible mark on these fields. Holding pivotal Academic Administrative roles, including Head of Department and IQAC Coordinator, he passionately channels his insights into concise and impactful blogs, enriching the tech discourse. 🚀🔬📚