Zixin Lan

11 papers receiving 376 citations

Zixin Lan's Hit Papers

Exploring two decades of research on classroom dialogue by using bibliometric analysis 2019 · 179 citations
1790+2+4Years since publication50100150

Peers

Zixin Lan
Comparison fields: 5 of 121
  • Computer Science Applications 45
  • Health Informatics 6
  • Developmental and Educational Psychology 45
  • Reproductive Medicine 25
  • Obstetrics and Gynecology 21
Replace Fiona McNeill with:
Fiona McNeill United Kingdom
Chengbo Zheng China
Matthias Hagen Germany
Theresa Dirndorfer Anderson Australia
P. van Andel Netherlands
Muhammad Anwar Indonesia
Sukwon Lee United States
Cristian Cechinel Brazil
Husni Mubarok Indonesia
Claudia López United States
Zixin Lan relative to Fiona McNeill United Kingdom Fiona McNeill's profile →
Citations per field
00.5×8.3×
Fiona McNeill · 1×
Citations per year

Countries citing papers authored by Zixin Lan

Since Specialization
Citations

This map shows the geographic impact of Zixin Lan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zixin Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zixin Lan more than expected).

Fields of papers citing papers by Zixin Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zixin Lan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zixin Lan. The network helps show where Zixin Lan may publish in the future.

Co-authors

The 25 scholars most cited alongside Zixin Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zixin Lan Line = papers co-authored together Zixin Lan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Exploring two decades of research on classroom dialogue by using bibliometric analysis
Hit paper breakdown →
2019179
2 202347
3 202347
4 202035
5 202122
6 202219
7 20219
8 20249
9 20208
10 20224
11 20212

About Zixin Lan

Zixin Lan is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Obstetrics and Gynecology and Immunology, having authored 11 papers that have together received 381 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (2 papers), Gut microbiota and health (2 papers), MicroRNA in disease regulation (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cellular Automata and Applications (1 paper), Biomarkers in Disease Mechanisms (1 paper), Educational Innovations and Technology (1 paper) and Online and Blended Learning (1 paper). The work is most often cited by research in Computer Science Applications (45 citations), Health Informatics (6 citations), Developmental and Educational Psychology (45 citations), Reproductive Medicine (25 citations) and Obstetrics and Gynecology (21 citations). Zixin Lan has collaborated with scholars based in China and Australia. Frequent co-authors include Tianyong Hao, Yu Song, Zhinan Liu, Xieling Chen, Yuexi Peng, Wei Xu, Kehui Sun, Ying Ding, Xia Chen and You Li. Their work appears in journals such as Computers & Education, Frontiers in Cellular and Infection Microbiology, BMC Medicine, IEEE Transactions on Industrial Informatics and Optics & Laser Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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