Haoran Xie

19.7k total citations · 11 hit papers
358 papers, 11.7k citations indexed

About

Haoran Xie is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haoran Xie has authored 358 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Artificial Intelligence, 76 papers in Information Systems and 67 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haoran Xie's work include Topic Modeling (61 papers), Sentiment Analysis and Opinion Mining (49 papers) and Online Learning and Analytics (46 papers). Haoran Xie is often cited by papers focused on Topic Modeling (61 papers), Sentiment Analysis and Opinion Mining (49 papers) and Online Learning and Analytics (46 papers). Haoran Xie collaborates with scholars based in Hong Kong, China and Australia. Haoran Xie's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Haoran Xie

323 papers receiving 11.3k citations

Hit Papers

Least Squares Generative ... 2014 2026 2018 2022 2017 2020 2020 2019 2014 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Least Squares Generative Adversarial Networks
    2017 3.1k citations Xudong Mao, Qing Li et al. profile →
  2. Vision, challenges, roles and research issues of Artificial Intelligence in Education
    2020 656 citations Haoran Xie et al. Computers and Education Artificial Intelligence profile →
  3. Application and theory gaps during the rise of Artificial Intelligence in Education
    2020 501 citations Xieling Chen, Haoran Xie et al. Computers and Education Artificial Intelligence profile →
  4. Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017
    2019 386 citations Haoran Xie et al. Computers & Education profile →
  5. News impact on stock price return via sentiment analysis
    2014 335 citations Haoran Xie et al. Knowledge-Based Systems profile →
  6. Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education
    2020 255 citations Xieling Chen, Di Zou et al. Computers & Education profile →
  7. Digital game-based vocabulary learning: where are we and where are we going?
    2019 200 citations Di Zou, Haoran Xie et al. profile →
  8. I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
    2022 129 citations Haoran Xie, Mingqiang Wei et al. profile →
  9. A review of AWE feedback: types, learning outcomes, and implications
    2022 96 citations Di Zou, Haoran Xie et al. profile →
  10. UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning
    2024 77 citations Fu Lee Wang, Haoran Xie et al. profile →
  11. Metaverse in Education: Contributors, Cooperations, and Research Themes
    2023 73 citations Xieling Chen, Di Zou et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haoran Xie Hong Kong 44 3.9k 3.6k 1.8k 1.7k 1.3k 358 11.7k
Qing Li China 63 7.7k 2.0× 5.6k 1.5× 4.9k 2.8× 735 0.4× 500 0.4× 1.3k 22.2k
Andreas Holzinger Austria 54 3.8k 1.0× 1.0k 0.3× 1.2k 0.7× 552 0.3× 541 0.4× 353 11.1k
Sebastián Ventura Spain 49 6.8k 1.8× 1.1k 0.3× 3.8k 2.2× 5.5k 3.3× 1.2k 1.0× 260 12.7k
Osmar R. Zaı̈ane Canada 46 4.2k 1.1× 2.1k 0.6× 2.5k 1.4× 792 0.5× 228 0.2× 292 9.4k
Xiaohui Liu United Kingdom 74 7.7k 2.0× 2.1k 0.6× 1.4k 0.8× 269 0.2× 434 0.3× 341 22.2k
Shahid Mumtaz Portugal 67 2.2k 0.6× 1.2k 0.3× 2.3k 1.3× 386 0.2× 753 0.6× 533 16.1k
Marti A. Hearst United States 48 9.4k 2.4× 3.1k 0.9× 4.9k 2.8× 763 0.5× 290 0.2× 197 17.3k
Daniel P. Huttenlocher United States 31 2.5k 0.6× 7.1k 2.0× 1.2k 0.7× 687 0.4× 167 0.1× 51 12.4k
Sotiris Kotsiantis Greece 32 4.9k 1.3× 976 0.3× 1.7k 0.9× 1.1k 0.6× 210 0.2× 185 11.3k
Terry Winograd United States 53 8.3k 2.1× 3.3k 0.9× 5.7k 3.3× 849 0.5× 665 0.5× 161 21.9k

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
1.
Li, Zongxi, et al.. (2025). Retrieval-augmented generation for educational application: A systematic survey. Computers and Education Artificial Intelligence. 8. 100417–100417. 3 indexed citations
2.
Tao, Xiaohui, et al.. (2025). Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 15(2). 2 indexed citations
3.
4.
Shaik, Thanveer, Xiaohui Tao, Lin Li, et al.. (2025). Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting. Knowledge-Based Systems. 326. 113941–113941. 1 indexed citations
5.
6.
Jin, Tao, et al.. (2024). PIRN: Phase Invariant Reconstruction Network for infrared image super-resolution. Neurocomputing. 599. 128221–128221. 7 indexed citations
7.
Xie, Haoran, et al.. (2024). Similar norm more transferable: Rethinking feature norms discrepancy in adversarial domain adaptation. Knowledge-Based Systems. 296. 111908–111908. 11 indexed citations
8.
Chen, Xieling, Haoran Xie, Xiaohui Tao, et al.. (2024). A topic modeling‐based bibliometric exploration of automatic summarization research. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(5). 7 indexed citations
9.
Wu, Bian, Yiling Hu, Meng Sun, et al.. (2023). How do secondary students engage in complex problem-solving processes in a STEM project?. Knowledge Management & E-Learning An International Journal. 506–522. 2 indexed citations
10.
Wu, Peng, et al.. (2023). ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 6 indexed citations
11.
Chen, Yufu, Yanghui Rao, Shurui Chen, et al.. (2022). Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Transactions on Knowledge Discovery from Data. 17(5). 1–30. 2 indexed citations
12.
Li, Yang, Zibin Zheng, Hong‐Ning Dai, Raymond Chi-Wing Wong, & Haoran Xie. (2022). Profit-based deep architecture with integration of reinforced data selector to enhance trend-following strategy. World Wide Web. 26(4). 1685–1705. 1 indexed citations
13.
Tao, Xiaohui, Patrick Delaney, Lin Li, et al.. (2022). Data Analytics on Online Student Engagement Data for Academic Performance Modeling. IEEE Access. 10. 103176–103186. 8 indexed citations
14.
Wei, Mingqiang, Honghua Chen, Yingkui Zhang, et al.. (2021). GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds. IEEE Transactions on Visualization and Computer Graphics. 29(2). 1357–1370. 17 indexed citations
15.
Zhu, Lei, Zijun Deng, Xiaowei Hu, et al.. (2020). Learning Gated Non-Local Residual for Single-Image Rain Streak Removal. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2147–2159. 41 indexed citations
16.
Chen, Xieling, Di Zou, Gary Cheng, & Haoran Xie. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education. 151. 103855–103855. 255 indexed citations breakdown →
17.
Xie, Haoran, Fu Lee Wang, Qiong Wang, et al.. (2019). Joint weighted least squares for normal decomposition of 3D measurement surface. Measurement Science and Technology. 31(4). 45401–45401. 1 indexed citations
18.
Wong, Tak-Lam, et al.. (2018). Promoting Self-Regulated Learning by Online Educational Resources. 204–208. 3 indexed citations
19.
Xie, Haoran, et al.. (2018). A Blockchain Model for Word-Learning Systems. 130–131. 28 indexed citations
20.
Mao, Xudong, Qing Li, Haoran Xie, Raymond Y.K. Lau, & Zhen Wang. (2016). Multi-class Generative Adversarial Networks with the L2 Loss Function.. arXiv (Cornell University). 79 indexed citations

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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