Haoran Xie

19.7k citations
358 papers · 11.7k indexed · 11 hit papers · h-index 44
Topics
Topic Modeling (61 papers)Sentiment Analysis and Opinion Mining (49 papers)Online Learning and Analytics (46 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
Partner nations
Hong KongChinaAustralia

In The Last Decade

Haoran Xie

323 papers receiving 11.3k citations

Hit Papers

Least Squares Generative Adversarial Networks20142026201820222017202020202019201410002.0k3.0k

Peers

Haoran Xie
Comparison fields: 5 of 206
  • Artificial Intelligence 3.9k
  • Computer Vision and Pattern Recognition 3.6k
  • Information Systems 1.8k
  • Computer Science Applications 1.7k
  • Education 1.3k
Replace Ioannis Antonoglou with:
Ioannis Antonoglou United Kingdom
Thore Graepel United Kingdom
Qing Li China
Martin Wattenberg United States
Chunyan Miao Singapore
Nils J. Nilsson United States
Richard S. Zemel Canada
Enhong Chen China
Jeffrey Heer United States
Timothy Lillicrap United States
Haoran Xie relative to Ioannis Antonoglou United Kingdom Ioannis Antonoglou's profile →
Citations per field
00.5×10×20×30×40×48.5×
Ioannis Antonoglou · 1×
Citations per year

Countries citing papers authored by Haoran Xie

Since Specialization
Citations

This map shows the geographic impact of Haoran Xie'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 Haoran Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoran Xie more than expected).

Fields of papers citing papers by Haoran Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haoran Xie. 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 Haoran Xie. The network helps show where Haoran Xie may publish in the future.

Co-authorship network of co-authors of Haoran Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Haoran Xie. A scholar is included among the top collaborators of Haoran Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haoran Xie. Haoran Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 7
4 11
5 14
6 10
7 9
8 2
9 6
10 70
11 2
12
Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions
89
13 82
14 12
15 25
16
Twenty Years of Personalized Language Learning: Topic Modeling and Knowledge Mapping
46
17 92
18 1
19 3
20 28

About Haoran Xie

Haoran Xie is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 358 papers that have together received 11.7k indexed citations. Recurring topics across this work include Topic Modeling (61 papers), Sentiment Analysis and Opinion Mining (49 papers) and Online Learning and Analytics (46 papers). The work is most often cited by research in Health Informatics (446 citations), Computer Science Applications (1.7k citations) and Computer Vision and Pattern Recognition (3.6k citations). Haoran Xie has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Di Zou, Qing Li, Raymond Y.K. Lau, Xudong Mao, Zhen Wang, Xieling Chen, Fu Lee Wang, Gwo‐Jen Hwang, Gary Cheng and Dragan Gašević. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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