Qingni Academic: A Big-Data Academic Writing Assistant
Qingni Academic: A Big-Data Academic Writing AssistantIntroduction
Qingni Academic is an academic writing assistance platform produced by Academic Zhi, focusing on the humanities and social sciences field. Leveraging big data and artificial intelligence technologies, it provides scholars with a series of services including literature data analysis, topic trend prediction, and intelligent writing, aiming to help users efficiently complete academic research and thesis writing, thereby enhancing the quality and impact of academic output.
Qingni Academic's data sources primarily come from authoritative domestic and international academic databases, such as CNKI, Web of Science, and Scopus, covering multiple fields including humanities and social sciences, natural sciences, and engineering technology.

Core Services and Features of Qingni Academic:
Intelligent Topic Selection: Qingni Academic offers an intelligent topic selection system that recommends hot, cutting-edge, and innovative topics based on the user's discipline, direction, and interests, providing data support such as PFI index, keywords, literature, and citations for each topic.
Literature Data Analysis: By analyzing core journal literature, Qingni Academic provides users with in-depth academic insights, helping them quickly grasp the hotspots and trends in their research field, and supporting the writing of literature reviews and research backgrounds.
Writing Assistance: Including intelligent reviews, introduction writing, research status analysis, and innovation point extraction, etc. After users input their professional direction and proposed title, the system can automatically generate or: provide writing suggestions, revision opinions, language polishing services, covering all aspects of thesis writing.
Intelligent Submission: Based on the user's thesis title, abstract, keywords, etc., it recommends the most suitable journals and provides information such as the journal's impact factor, review cycle, acceptance rate, and submission guidelines.
One-Stop Service: From topic selection to literature analysis, and then to writing and submission, Qingni Academic provides full-process academic writing assistance, aiming to solve problems in academic topic selection, submission, literature analysis, thesis writing, and more.
Academic Reports and Predictions: Regularly publishes academic research reports, including journal data, content analysis, and academic hotspots, helping users stay informed of cutting-edge academic developments.
Qingni Academic User Base:
Qingni Academic primarily targets a wide range of academic researchers, graduate students, and university faculty, especially those who need assistance with literature reviews and thesis writing.
Qingni Academic Pricing:
Qingni Academic's product pricing is divided into three tiers: Free, Basic, and Professional.
Trial Membership: 9.9 yuan, enjoy exclusive access to Qingni Academic's intelligent topic selection privileges, unlock and download 10 reports within 3 days, 10% discount on annual membership opened during the trial period, and discounted monthly membership opened during the trial period;
Monthly Membership: 59 yuan, enjoy exclusive access to Qingni Academic's intelligent topic selection privileges, free viewing/downloading of reports, Qingni Academic review tool privileges, and access to 150 report downloads.
Annual Membership: 499 yuan, enjoy exclusive access to Qingni Academic's intelligent topic selection privileges, free viewing/downloading of reports, Qingni Academic review tool privileges, and access to 150 report downloads.

How to Use Qingni Academic
Users can access Qingni Academic's official website or follow its public account to follow the instructions. Qingni Academic is mainly divided into four modules: Intelligent Topic Selection, Intelligent Review, Intelligent Submission, and Intelligent Writing. Users can choose the corresponding module based on their needs or combine modules across the platform to achieve full-process assistance in academic writing.
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