Zixi Li: h-index, Total Citations, and Citation Map
Zixi Li's h-index is 6 (5 i10-index, 389+ total citations across 23+ publications) according to Google Scholar as of June 2026. Zixi Li is affiliated with Postdoc Research Fellow, Boston College.
Zixi Li is a researcher affiliated with Postdoc Research Fellow, Boston College, specializing in self-directed learning, artificial intelligence in education, teacher professional development. Their work has been cited 389 times. This profile visualizes their global influence, highlighting strong citation networks in Indonesia.
Zixi Li's Citation Metrics
Bibliometric impact based on 23 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 389
- Citing Countries
- 52
As of June 2026.
Zixi Li has an h-index of 6 and 389 total citations across 23 publications, with research cited by institutions in 52 countries.
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Global Impact Map
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Understanding self-directed learning in AI-Assisted writing: A mixed methods study of postsecondary learners
2024151
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
18 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for understanding self-directed learning in AI-assisted writing, subsequently expanding this inquiry to address ethical dimensions through a FATE lens.
The researcher advanced the study of self-directed language learning by empirically examining Duolingo usage in out-of-class contexts, establishing a foundational reference point for mobile-assisted language learning research.
The researcher advanced self-directed language learning by empirically examining how Duolingo supports learner self-management, establishing a framework for integrating self-regulation into digital language education platforms.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Zixi Li's research
Zixi Li is a researcher in self-directed learning, artificial intelligence in education and teacher professional development at Postdoc Research Fellow, Boston College. Their work has been cited 389 times across 23 publications (h-index 6), according to Google Scholar.
Their most-cited work, “Understanding self-directed learning in AI-Assisted writing: A mixed methods study of postsecondary learners” (2024), has accumulated 151 citations. Other influential works include “Self-directed language learning with Duolingo in an out-of-class context” (2025) with 76 citations and “Supporting learners self-management for self-directed language learning: a study within Duolingo” (2024) with 60 citations.
Citations of Zixi Li's research come primarily from Indonesia, China and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
